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[mitsumi1]

Build Your First Dashboard with ClicData

Build Your First Dashboard with ClicData

Published 12/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz
Language: English | Size: 65.25 MB | Duration: 34m 26s

This course will teach you how to create a simple dashboard using ClicData.​

Dashboards can help organizations make decisions based on facts and on current data that is refreshed periodically. Save time and frustration by having all your data analytics on one screen, instead of flipping between screens, digging through databases, or signing into multiple analytics applications. In this course, Build Your First Dashboard with ClicData, you'll learn to create a simple visualization using ClicData. First, you'll explore the basic requirements, dependencies, and context to build the visualization. Next, you'll discover how to load a simple data source. Finally, you'll learn how to add a data series to the visualization. When you're finished with this course, you'll have the skills and knowledge of building and formatting visualizations needed to create a simple dashboard and visualization using ClicData.

Homepage:

https://www.pluralsight.com/courses/build-your-first-dashboard-clicdata

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[mitsumi1]

Build Your First Dashboard with GoodData

Build Your First Dashboard with GoodData

Published 12/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz
Language: English | Size: 78.31 MB | Duration: 47m 23s

This course will teach you how to create Dashboards in GoodData.​

Dashboards are an important way to visualize your data and can provide you with insights into your organization's operations. In this course, Build your First Dashboard with GoodData, you'll learn to create and share GoodData Dashboards. First, you'll explore how to load data into GoodData. Next, you'll discover how to create a GoodData metric. Finally, you'll learn how to create GoodData Dashboards and share them within your organization. When you're finished with this course, you'll have the skills and knowledge of creating GoodData dashboards needed to provide insights to your organization.

Homepage:

https://www.pluralsight.com/courses/build-first-dashboard-gooddata

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[mitsumi1]

Build Your First Dashboard with iDashboards

Build Your First Dashboard with iDashboards

Published 12/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz
Language: English | Size: 100.88 MB | Duration: 44m 34s​

Now more than ever, business leaders look for trends in data to guide their business strategies. This course will teach you how to utilize iDashboard to quickly build compelling and informative data visualizations from a variety of data sources.


The ability to understand the story that a data set tells is often dependent on the way the data is viewed. In this course, Build your First Dashboard with iDashboards, you'll learn how easy it is to build informative visualizations that can be combined to create a
compelling dashboard. First, you'll explore the basic capabilities of iDashboard. Next, you'll discover the different visualizations available within iDashboard. Finally, you'll learn how to incorporate different data sources to create a single Dashboard. When you're finished with this course, you'll have the skills and knowledge of data visualizations needed to create a dashboard utilizing
iDashboard.

Homepage:

https://www.pluralsight.com/courses/build-first-dashboard-idashboards

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[mitsumi1]

Build Your First Dashboard with Splunk

Build Your First Dashboard with Splunk

Published 6/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz
Language: English | Size: 84.24 MB | Duration: 32m 49s​

Splunk is one of the leading data collection and analytics platforms on the market. Learn what Splunk can do for you, how to upload data into Splunk, and create and customize dashboards to understand and explore your data.


Processing incoming data about your systems, business processes, and security events can be impossible without the proper tools. In this course, Build Your First Dashboard with Splunk, you will gain the ability to load data into Splunk and create a dashboard. First, you will learn about Splunk products. Next, you will discover how to load data into Splunk Enterprise. Finally, you will explore how to build and customize a dashboard. When you are finished with this course, you will have the skills and knowledge of Splunk needed to create a dashboard.

Homepage:

https://www.pluralsight.com/courses/build-first-dashboard-splunk

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rapidgator.net:

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[mitsumi1]

Certificate Course In Dermatology

Certificate Course In Dermatology

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.77 GB | Duration: 4h 13m

Certificate Course for Dermatology for Clinicians and Medical students preparing for Licencing exams.​

What you'll learn
Diagnose Common Skin Conditions: Learners will be able to identify and diagnose a variety of skin conditions accurately.
Treatment Planning: Students will gain skills in developing effective treatment plans for various dermatological issues.
Dermatological Procedures: Learn the basics of performing common dermatological procedures and interventions.
Exam Preparation: Equip students with the knowledge to excel in dermatology-related licensing exams.
Requirements
There are no strict prerequisites for enrolling in the Dermatology Certificate course, making it accessible to a wide range of learners. While having a basic understanding of medical terminology and human anatomy can be beneficial, it is not mandatory, as the course is designed to cater to both beginners and professionals looking to enhance their dermatological skills. No prior experience in dermatology is required, which lowers the barrier for entry and encourages those new to the field to participate confidently. Learners will need a stable internet connection to access the course materials, videos, and assessments. Additionally, a computer, tablet, or smartphone capable of viewing HD videos and interacting with the course content is recommended for the best learning experience. This flexible approach ensures that anyone interested in dermatology, from students to healthcare professionals, can engage with and benefit from the course.
Description
The Dermatology Certificate course is meticulously designed to offer comprehensive and in-depth training in dermatology, equipping medical students, healthcare professionals, and aspiring dermatologists with essential knowledge and practical skills. This course covers a broad range of topics, including the diagnosis, management, and treatment of various skin conditions such as acne, eczema, psoriasis, and skin infections, along with an introduction to cosmetic dermatology and the latest advancements in skin care technologies.Participants will gain a deeper understanding of the structure and function of the skin, as well as its critical role as the body's primary defense against pathogens, environmental toxins, and harmful agents. The course emphasizes the importance of early detection and effective treatment of skin conditions, which are vital for maintaining overall health, patient well-being, and self-esteem.Through engaging animated videos, high-definition images, and interactive case studies, learners will have the opportunity to visualize complex concepts and apply their knowledge in practical scenarios. This hands-on approach not only enhances learning but also prepares participants for success in licensing exams and clinical practice.By completing this course, you will develop advanced dermatological skills, enabling you to make a significant impact in your field. You will be well-equipped to provide high-quality care, boost patient confidence, and excel in your professional practice, making you a valuable asset in any healthcare setting
Overview
Section 1: Acne
Lecture 1 Acne
Section 2: Vitiligo
Lecture 2 Vitiligo: Introduction, Etiology and Differential diagnosis
Lecture 3 Vitiligo: Treatment
Section 3: Papulosquamous disorders
Lecture 4 Psoriatic Lesions
Section 4: Lichen planus
Lecture 5 Lichen planus
Section 5: Scabis
Lecture 6 Scabis
Section 6: Pediculosis
Lecture 7 Pediculosis
Section 7: Fungal infections
Lecture 8 Dermatophytes
Lecture 9 Antifungal agents
Section 8: Viral infections
Lecture 10 Varicella zoster
Lecture 11 Herpes Zoster (Shingles)
Lecture 12 Warts
Lecture 13 Mollascum Contagiosum
Lecture 14 Herpes simplex
Lecture 15 Tzanck Smear
Section 9: Leprosy
Lecture 16 Leprosy: Classification, Microbiology, Pathogenesis, Diagnosis
Lecture 17 Lepra Reactions
Lecture 18 Clinical Features Of Leprosy
Lecture 19 Treatment Of Leprosy
Lecture 20 5.Leprosy Rx-Who Guidelines
Lecture 21 Complications Of Leprosy & Its Management
Section 10: Dermatitis & Eczema
Lecture 22 Eczema
Lecture 23 Exfoliative Dermatitis
Lecture 24 Erythroderma
Lecture 25 Fixed Drug Eruptions & Steven Johnson Syndrome
Section 11: Vesiculobullous Lesions
Lecture 26 Vesiculobullous Lesions
Section 12: Urticaria and Angioedema
Lecture 27 Urticaria
Lecture 28 Angioedema
Section 13: Collagen Vascular Diseases
Lecture 29 Skin Lesions of SLE
Lecture 30 Raynaud's Disease & Phenomenon Disease
Section 14: Nutritional Diseases related to skin
Lecture 31 Cutaneous Changes in Vitamin A deficiency
Lecture 32 Cutaneous Changes in Vitamin B Complex Deficiency
Lecture 33 Cutaneous Changes In Vitamin C Deficiency
Lecture 34 Cutaneous Changes In Zinc Deficiency
Section 15: Systemic Diseases of Skin
Lecture 35 Cutaneous Features Of Type 2 Diabetes
Lecture 36 Cutaneous Features Of Hypo Or Hyperthyroidism
Section 16: Various Skin lesions: Folliculitis, Impetigo, Ecthyma, Furuncle and Carbuncle
Lecture 37 Various Skin lesions: Folliculitis, Impetigo, Ecthyma, Furuncle and Carbuncle
This Dermatology Certificate course is ideal for medical students, healthcare professionals, and aspiring dermatologists who wish to deepen their understanding of skin conditions and enhance their clinical skills in dermatology. It is also suitable for general practitioners, nurses, and physician assistants who frequently encounter dermatological issues in their practice and want to improve their diagnostic and treatment capabilities. Additionally, the course is valuable for anyone preparing for licensing exams that include dermatology as a component, as it provides a focused and comprehensive review of key topics. Whether you are a beginner with no prior experience in dermatology or a professional looking to update your knowledge with the latest advancements, this course offers valuable insights and practical skills to help you excel in your field.

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[mitsumi1]

Certified 5S Auditor

Certified 5S Auditor

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.67 GB | Duration: 4h 0m

5S Auditor​

What you'll learn
Upon completion of this course , Get Certified as " Certified 5S Auditor" from Seven Steps Academy
Understand 5S principles - Sort, Set in order, Shine, Standardize and Sustain
Understand the relationship of 5S with Productivity , Quality , Cost, Delivery, Safety, Morale & Environment
Understand Auditing skills - Development of customized audit checklists, Audit planning & Audit reporting
Learn how to create culture of discipline and excellence
Learn how to drive & sustain 5S improvements
Learn how to apply 5S principles to personal life
Requirements
There is no pre-requisite for this course except your passion for excellence and career development
Description
What is 5S ?5S is traditionally looked as house keeping technique. Very few organizations like Toyota used 5S beyond just house keeping. If implemented with right spirit, a true 5S eliminates most of the quality and delivery issues from the root and create a foundation for Business Excellence Journey. Many workplace problems are results of poor 5S. Over and above all this, 5S can be used to create improvement and team culture in the organization.Which Industry Can apply 5S ?5S can be applied to all Industries including Manufacturing, Service, Education, Healthcare , Construction and Hospitality. It is like basic Operating System in computers and Mobiles. A well implemented 5S becomes good foundation for Lean, TQM, TPM and Six Sigma. 5S also complements Swachh Bharat Mission and Beyond . 5S also can be applied at personal level for self development.Who Should take this course ?Any individual who like to improve Career using 5S CertificationWhat you can expect from this Course ?Deep understanding of Applied 5SAuditing Techniques - Planning ,Execution and ReportingUnderstand Cultural aspects of 5SAudit Checklist developmentRoot Cause analysis and Effective closing of NCsComplete the course requirements and get certified as "Certified 5S Auditor" from Seven Steps Academy
Overview
Section 1: Introduction
Lecture 1 Certified 5S Auditor - Course Introduction
Section 2: Module -1 Introduction to Audits
Lecture 2 What is an Audit ?
Section 3: Module 2 A - Understanding 5S
Lecture 3 Lecture 3 : Introduction to 5S
Section 4: Module 2B - SORTING
Lecture 4 SORT - SEIRI - Removal of unwanted Items
Section 5: Module 2C - Set in Order
Lecture 5 Module 2C - Set in Order
Section 6: Module 2D - Shine
Lecture 6 Module 2D - Shine
Section 7: Module 2E - Standardize
Lecture 7 Module 2E - Standardize
Section 8: Module 2F - Sustain
Lecture 8 Module 2F - Sustain
Section 9: Module 2G - 7 Steps of 5S Implementation
Lecture 9 Module 2G - 7 Steps of 5S implementation
Section 10: Certified 5S Auditor Practice Test - 1
Section 11: Module 3 - Audit Prerequisites
Lecture 10 Module 3- Audit Prerequisites
Section 12: Module 4 - Audit Process
Lecture 11 Module 4 - Audit Process
Section 13: Module 5 - Glossary of Terms used in 5S Audit
Lecture 12 Module 5 - Glossary of Terms used in 5S Audit
Section 14: Module 6 - Developing Audit Checklists
Lecture 13 Module 6 - Developing Audit Checklists
Section 15: Module 7 - Audit Scenarios and Challenges
Lecture 14 Module 7 - Audit Scenarios and Challenges
Section 16: Module 8 - Audit Reports
Lecture 15 Audit Reports
Section 17: Module 9 - Closing 5S Non-Conformances
Lecture 16 Steps of Closing 5S Non Conformances
Section 18: Module 10 - Traits of a Professional Auditor
Lecture 17 Traits of a Professional Auditor
Section 19: Practice test - 2
Section 20: 5S and Visual Management
Lecture 18 5S and Visual Management
Professionals from HR, Quality, Production, Purchase, Maintenance, Engineering , R&D, IT, Hospitals, Educational Institutions, Hospitality business, Government organizations, Non profit organizations, Continual Improvement Executives, Students , consultants and others interested professionals,This Course is recommended for all professionals who like to become Certified 5S Auditors by acquiring necessary skills which are made simple in this course

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https://rapidgator.net/file/2cd567ddf7e7f08c74ff2818e8b9205a/rgvta.Certified.5S.Auditor.part1.rar.html
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[mitsumi1]

Certified Data Management Professional (Cdmp) - Associate

Certified Data Management Professional (Cdmp) - Associate

Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.93 GB | Duration: 20h 47m

Master the Core Principles of Data Management and Prepare for the CDMP Associate Certification​

What you'll learn
Master the core principles of data governance and the roles and responsibilities involved.
Understand the DAMA-DMBOK framework and its importance in data management.
Learn the structure and certification levels of the CDMP exam.
Explore strategies for preparing and studying for the CDMP certification exam.
Grasp the foundational concepts of data architecture, including logical and physical data models.
Design scalable data systems that meet organizational needs.
Gain a deep understanding of data modeling, including normalization and denormalization techniques.
Develop expertise in data storage models, data retention, backup, and recovery strategies.
Understand the principles of data security and how to mitigate risks in data management.
Implement best practices for ensuring data quality and improving data integrity.
Explore the concepts of master and reference data management and their role in data consistency.
Learn the fundamentals of metadata management and how it enhances data accessibility and governance.
Understand the role of data warehousing and business intelligence in strategic decision-making.
Explore emerging technologies like AI and big data and their impact on data management.
Dive into cloud data management and its benefits for scalable and secure data storage.
Understand ethical data management practices and how to ensure regulatory compliance.
Requirements
No Prerequisites.
Description
This course offers an in-depth exploration of the core principles and frameworks surrounding data management, with a specific emphasis on preparing students for the CDMP (Certified Data Management Professional) certification. The course is designed to provide a comprehensive overview of the various aspects of data management, including governance, architecture, modeling, security, quality, and more. While the course encompasses the theory of these data management concepts, it also provides valuable insights into how they can be applied in real-world scenarios, making it an essential resource for those looking to deepen their understanding of data management or prepare for the CDMP exam.Beginning with an introduction to the CDMP certification process, students will gain a detailed understanding of the certification levels, exam structure, and essential study strategies. This foundational knowledge not only prepares students for the certification itself but also provides a solid framework for comprehending the broader field of data management. In particular, students will appreciate the subtle focus on theoretical aspects that underpin data management, allowing them to explore the key concepts without the distraction of immediate hands-on applications.The course delves into data governance, one of the most crucial pillars of effective data management. Students will examine the roles and responsibilities that come with governance, as well as the policies, procedures, and frameworks that support a strong data governance strategy. Understanding governance frameworks is essential for ensuring that data remains secure, accurate, and compliant with industry standards. Students will learn how governance ties into the overall architecture of data systems and how it forms the backbone of a sustainable data management strategy.Next, the course takes a closer look at data architecture, providing insights into how data is structured, modeled, and managed across an organization. Key concepts such as logical versus physical data models and the principles of designing scalable data systems are explored in detail. Students will also study enterprise architecture and its integration with data management practices, which is crucial for organizations aiming to align their data systems with strategic business goals. This section encourages students to think critically about the theoretical models that shape modern data architecture and how these models can be adapted to meet an organization's unique needs.Data modeling and design are fundamental to ensuring that data is both useful and efficient in meeting organizational objectives. The course covers essential topics such as normalization, denormalization, and data relationships, providing students with the knowledge needed to design and optimize data models for various industries. In doing so, students will gain an understanding of best practices in data design, with an emphasis on conceptual, logical, and physical data models, further cementing their grasp of data management theory.Students will also explore the intricacies of data storage and operations, including storage models, techniques, and policies for data retention, backup, and recovery. The importance of data security management is also highlighted, focusing on principles, policies, and strategies for mitigating risks and ensuring regulatory compliance. In today's digital age, where data breaches and cybersecurity threats are constant concerns, understanding these security principles is vital for anyone working in data management.Furthermore, the course covers essential topics such as data quality management, metadata management, and reference and master data management. Each of these areas contributes to the overall goal of maintaining high standards of data integrity, accessibility, and usability. By the end of these sections, students will be equipped with the knowledge to assess and improve data quality, manage metadata repositories, and ensure that master and reference data are handled efficiently.As the course progresses, students will learn about data warehousing and business intelligence, which are critical for leveraging data in decision-making processes. The course also addresses emerging trends in data management, including the role of big data, artificial intelligence, and cloud technologies, which are reshaping the future of data systems.In summary, this course offers a thorough examination of data management principles with a focus on preparing students for CDMP certification. Through its structured approach to theoretical concepts, students will build a robust foundation in data management, which can be applied to a wide range of professional settings. Whether you are new to the field or looking to formalize your expertise, this course provides the essential knowledge and tools needed to excel in the dynamic and evolving world of data management.
Overview
Section 1: Course Resources and Downloads
Lecture 1 Course Resources and Downloads
Section 2: Introduction to CDMP and Data Management
Lecture 2 Section Introduction
Lecture 3 Overview of CDMP Certification
Lecture 4 Case Study: Empowering Data Management Careers
Lecture 5 Introduction to Data Management
Lecture 6 Case Study: Enhancing RetailHub's Data Management
Lecture 7 The DAMA-DMBOK Framework
Lecture 8 Case Study: Transforming Data Management at TechNova
Lecture 9 Certification Levels and Exam Structure
Lecture 10 Case Study: Achieving the CDMP
Lecture 11 Study Strategies for the CDMP Exam
Lecture 12 Case Study: Strategic Mastery
Lecture 13 Section Summary
Section 3: Data Governance
Lecture 14 Section Introduction
Lecture 15 Introduction to Data Governance
Lecture 16 Case Study: Empowering RetailNet
Lecture 17 Governance Roles and Responsibilities
Lecture 18 Case Study: Enhancing Data Governance
Lecture 19 Data Stewardship and Accountability
Lecture 20 Case Study: Implementing Data Governance at NexFinance
Lecture 21 Policies, Procedures, and Standards
Lecture 22 Case Study: TechCo's Data Governance Overhaul
Lecture 23 Governance Frameworks and Best Practices
Lecture 24 Case Study: Implementing Data Governance Frameworks
Lecture 25 Section Summary
Section 4: Data Architecture
Lecture 26 Section Introduction
Lecture 27 Introduction to Data Architecture
Lecture 28 Case Study: Data Architecture Excellence
Lecture 29 Data Architecture Principles
Lecture 30 Case Study: Transforming Data Architecture
Lecture 31 Logical vs. Physical Data Models
Lecture 32 Case Study: Optimizing CRM Data Management
Lecture 33 Enterprise Architecture and Data Management
Lecture 34 Case Study: Strategic Integration of Enterprise Architecture and Data Management
Lecture 35 Designing Scalable Data Systems
Lecture 36 Case Study: Balancing Vertical and Horizontal Scalability
Lecture 37 Section Summary
Section 5: Data Modeling and Design
Lecture 38 Section Introduction
Lecture 39 Introduction to Data Modeling
Lecture 40 Case Study: Optimizing Data Modeling for Business Growth
Lecture 41 Conceptual, Logical, and Physical Data Models
Lecture 42 Case Study: Optimizing Patient Management Systems
Lecture 43 Normalization and Denormalization
Lecture 44 Case Study: Balancing Normalization and Denormalization
Lecture 45 Data Relationships and Entities
Lecture 46 Case Study: Building a Scalable Data Model
Lecture 47 Best Practices in Data Design
Lecture 48 Case Study: Transforming Data Management
Lecture 49 Section Summary
Section 6: Data Storage and Operations
Lecture 50 Section Introduction
Lecture 51 Introduction to Data Storage
Lecture 52 Case Study: Optimizing Data Storage
Lecture 53 Storage Models and Techniques
Lecture 54 Case Study: Strategizing Scalable and Secure Data Storage
Lecture 55 Data Retention Policies
Lecture 56 Case Study: Developing a Robust Data Retention Policy
Lecture 57 Data Backup and Recovery
Lecture 58 Case Study: Strengthening Data Resilience
Lecture 59 Data Archiving and Deletion
Lecture 60 Case Study: Optimizing Data Management
Lecture 61 Section Summary
Section 7: Data Security Management
Lecture 62 Section Introduction
Lecture 63 Introduction to Data Security
Lecture 64 Case Study: Enhancing Data Security
Lecture 65 Data Security Principles and Policies
Lecture 66 Case Study: Enhancing Data Security
Lecture 67 Data Access Control and Encryption
Lecture 68 Case Study: Integrated Data Access Control and Encryption Strategies
Lecture 69 Security Risks and Mitigation Strategies
Lecture 70 Case Study: Enhancing Data Security
Lecture 71 Regulatory Compliance and Data Privacy
Lecture 72 Case Study: TechNova Data Breach
Lecture 73 Section Summary
Section 8: Data Quality Management
Lecture 74 Section Introduction
Lecture 75 Introduction to Data Quality
Lecture 76 Case Study: Enhancing Data Quality in Healthcare
Lecture 77 Data Quality Dimensions
Lecture 78 Case Study: Optimizing Data Quality Dimensions
Lecture 79 Data Quality Assessment Techniques
Lecture 80 Case Study: Enhancing Data Quality
Lecture 81 Tools and Processes for Data Quality Improvement
Lecture 82 Case Study: Enhancing Data Quality at TechNova
Lecture 83 Implementing a Data Quality Program
Lecture 84 Case Study: Enhancing Decision-Making
Lecture 85 Section Summary
Section 9: Reference and Master Data Management
Lecture 86 Section Introduction
Lecture 87 Introduction to Master and Reference Data
Lecture 88 Case Study: Transforming Data Management
Lecture 89 Differences Between Master and Reference Data
Lecture 90 Case Study: Enhancing GlobalTech's Data Management
Lecture 91 Master Data Management Frameworks
Lecture 92 Case Study: Optimizing Healthcare and Retail Operations
Lecture 93 Reference Data Standardization
Lecture 94 Case Study: Enhancing Data Integrity and Compliance
Lecture 95 Tools for Managing Master and Reference Data
Lecture 96 Case Study: Implementing Master and Reference Data Management
Lecture 97 Section Summary
Section 10: Metadata Management
Lecture 98 Section Introduction
Lecture 99 Introduction to Metadata Management
Lecture 100 Case Study: Enhancing Retail Success through Robust Metadata Management
Lecture 101 Types of Metadata: Descriptive, Structural, and Administrative
Lecture 102 Case Study: Transformative Metadata Management
Lecture 103 Metadata Repositories and Standards
Lecture 104 Case Study: Enhancing Data Management
Lecture 105 Metadata Governance
Lecture 106 Case Study: TechNova's Metadata Governance
Lecture 107 The Role of Metadata in Data Integration
Lecture 108 Case Study: Leveraging Metadata for Efficient and Quality-Driven Data
Lecture 109 Section Summary
Section 11: Data Warehousing and Business Intelligence
Lecture 110 Section Introduction
Lecture 111 Introduction to Data Warehousing
Lecture 112 Case Study: Strategic Data Warehousing
Lecture 113 Data Marts and Data Lakes
Lecture 114 Case Study: Balancing Data Marts and Data Lakes for Scalable Analytics
Lecture 115 Business Intelligence Principles
Lecture 116 Case Study: Unlocking the Full Potential of Business Intelligence at TechNova
Lecture 117 Data Warehousing Models: Star and Snowflake
Lecture 118 Case Study: Optimizing Data Warehousing
Lecture 119 Reporting and Analytics in BI
Lecture 120 Case Study: Transforming Patient Care Through Business Intelligence
Lecture 121 Section Summary
Section 12: Data Integration and Interoperability
Lecture 122 Section Introduction
Lecture 123 Introduction to Data Integration
Lecture 124 Case Study: TechFusion's Comprehensive Data Integration Strategy
Lecture 125 Data Sources and Extraction Techniques
Lecture 126 Case Study: Integrating Diverse Data Sources for Enhanced Business Insights
Lecture 127 Data Transformation and Loading (ETL)
Lecture 128 Case Study: Optimizing ETL for Data Integration
Lecture 129 Data Interoperability Standards
Lecture 130 Case Study: Enhancing Patient Care Through HL7 Interoperability
Lecture 131 Managing Data Silos
Lecture 132 Case Study: Overcoming Data Silos
Lecture 133 Section Summary
Section 13: Document and Content Management
Lecture 134 Section Introduction
Lecture 135 Introduction to Document Management
Lecture 136 Case Study: Transforming Healthcare Efficiency
Lecture 137 Content Management Systems (CMS)
Lecture 138 Case Study: Transforming E-Commerce Efficiency
Lecture 139 Managing Unstructured Data
Lecture 140 Case Study: Optimizing Unstructured Data Management
Lecture 141 Version Control and Document Security
Lecture 142 Case Study: Integrating Version Control and Document Security
Lecture 143 Document Classification and Retrieval
Lecture 144 Case Study: Optimizing Document Management with Machine Learning
Lecture 145 Section Summary
Section 14: Big Data and Emerging Technologies
Lecture 146 Section Introduction
Lecture 147 Introduction to Big Data
Lecture 148 Case Study: Strategic Evolution at TechNova
Lecture 149 The Role of Big Data in Data Management
Lecture 150 Case Study: TechNova's Big Data Transformation
Lecture 151 Big Data Storage and Processing
Lecture 152 Case Study: Strategic Innovations in Big Data Management
Lecture 153 Emerging Data Technologies (AI, Blockchain)
Lecture 154 Case Study: Integrating AI and Blockchain
Lecture 155 Implications of Big Data for Data Management
Lecture 156 Case Study: Transforming Data Management
Lecture 157 Section Summary
Section 15: Data Management Ethics and Compliance
Lecture 158 Section Introduction
Lecture 159 Introduction to Data Ethics
Lecture 160 Case Study: Ethical Data Management in Tech
Lecture 161 Ethical Data Use and Decision Making
Lecture 162 Case Study: Navigating Ethical Challenges
Lecture 163 Regulatory Frameworks (GDPR, HIPAA)
Lecture 164 Case Study: Navigating GDPR and HIPAA
Lecture 165 Legal Considerations in Data Management
Lecture 166 Case Study: Ensuring GDPR and HIPAA Compliance in Global Healthcare
Lecture 167 Building an Ethical Data Culture
Lecture 168 Case Study: Building an Ethical Data Culture
Lecture 169 Section Summary
Section 16: Emerging Trends in Data Management
Lecture 170 Section Introduction
Lecture 171 Introduction to Data Management Trends
Lecture 172 Case Study: Mastering Data Management
Lecture 173 Data Governance in the Age of Big Data
Lecture 174 Case Study: TechNova's Strategic Overhaul
Lecture 175 Artificial Intelligence and Data Management
Lecture 176 Case Study: TechNova's AI-Driven Transformation
Lecture 177 Cloud Data Management
Lecture 178 Case Study: Transforming E-Commerce
Lecture 179 Data Privacy and Ethical Challenges in the Digital Age
Lecture 180 Case Study: ZypherTech Data Breach
Lecture 181 Section Summary
Section 17: Course Summary
Lecture 182 Conclusion
Aspiring data management professionals seeking to earn the CDMP Associate certification.,IT and data professionals looking to enhance their knowledge of data governance, architecture, and security.,Individuals transitioning into data management roles who want a comprehensive understanding of key principles.,Business analysts and data analysts aiming to improve their data modeling and quality management skills.,Project managers and team leads overseeing data-driven projects and seeking to improve data strategies.,Recent graduates in IT, computer science, or business-related fields who want to specialize in data management.,Professionals interested in staying updated on emerging trends like AI, big data, and cloud technologies in data management.

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[mitsumi1]

Complete Copywriting System : Write To Sell With Ease

Complete Copywriting System : Write To Sell With Ease

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 475.31 MB | Duration: 0h 47m

Easy and effective way to Write a copy​

What you'll learn
Understand copywriting
how to write a copy that sells
the best copywriting technique
learn a system to write a copy
Requirements
no experience needed
Description
Welcome in this course, sorry this s not a course, this a system.And with this system you can start writing 10 copies a day, your only problem is look for more gigsBy the end of this course you will know everything that you need to know about copy writing, and you will understand and start creating good, amzing offer. And i will also give you the best technique or the only technique that you will ever need to start copy writingI am sure that sometimes you wanna start writing a copy for your client or your own buisness and you have nothing in mind, no inspiration, no ideas. well i want you know that normal, that happen to us too the best copywriters in the world we experience this. But i found a solution to it.You need a system, dont rely on your inspirtation. You need a systemitical thinking and formulas.. and in this course if you just go through it you will the framework the formula and the system. I tried to make it easy for you. So your only problem is to go and get more gigs because after you watch this course you can start writing 10 copies a day no problemYou will get a system how to craft a good offer and i will teach you my very best technique in copy writing
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Write a copy ( my system )
Lecture 3 Create a relly good offer
Lecture 4 The best technique in copywriting
Lecture 5 outro
this course for everyone who are intersted to write a copy

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[mitsumi1]

Complete Java Programming Bootcamp: Learn To Code In Java

Complete Java Programming Bootcamp: Learn To Code In Java

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.31 GB | Duration: 4h 30m​

Become a Java Developer: Learn Core Concepts, Object-Oriented Programming, and Advanced Techniques in One Course


What you'll learn
Features and benefits of Java
Writing and running your first Java program
Understanding Java syntax and structure
Declaring and initializing variables
Arithmetic, relational, logical, and bitwise operators
Looping constructs (for, while, do-while)
Conditional statements (if, else, switch)
Understanding classes and objects
Constructors, methods, and access modifiers
Abstract classes and methods
Sorting, searching, and iterating through collections
Lambda expressions and functional interfaces
Reading and writing files using Java I/O
File handling and management
Handling events in Swing
Connecting to databases using JDBC
Performing CRUD operations with JDBC
Requirements
No prior programming experience is required.
Description
Unlock the power of Java with our Complete Java Programming Bootcamp! Whether you're an absolute beginner or an aspiring software developer, this comprehensive course will equip you with the skills needed to code confidently in one of the world's most versatile programming languages.Throughout this course, you'll learn the fundamentals of Java, including object-oriented programming (OOP), data structures, algorithms, and more. We'll cover everything from basic syntax to advanced concepts such as multithreading, exception handling, and file handling. Plus, you'll dive into practical, real-world projects to apply your skills and build hands-on experience.What you'll learn:Core Java concepts: variables, data types, operators, and control flowObject-Oriented Programming: classes, objects, inheritance, and polymorphismJava collections framework, arrays, and listsException handling and debugging techniquesFile I/O and working with external filesMultithreading and concurrency for efficient programmingHands-on projects: build Java applications from scratchBest practices and coding techniques used by professionalsBy the end of this course, you'll have a deep understanding of Java programming, ready to tackle real-world challenges or continue advancing your skills. Whether you're preparing for a career in software development, planning to build your own projects, or just looking to learn coding, this course is designed for you!Enroll today and start your Java programming journey!
Overview
Section 1: Module 1: Introduction to Java Programming
Lecture 1 Writing and running your first Java program
Lecture 2 Understanding Java syntax and structure
Section 2: Module 2: Core Java Concepts
Lecture 3 Java data types (primitive and non-primitive)
Lecture 4 Declaring and initializing variables
Lecture 5 Arithmetic, relational, logical, and bitwise operators
Lecture 6 Conditional statements (if, else, switch)
Lecture 7 Looping constructs (for, while, do-while)
Section 3: Module 3: Object-Oriented Programming (OOP) in Java
Lecture 8 Understanding classes and objects
Lecture 9 Principles of OOP (Encapsulation, Inheritance, Polymorphism, Abstraction)
Lecture 10 Creating and using classes and objects
Lecture 11 Constructors, methods, and access modifiers
Lecture 12 Data hiding and encapsulation
Lecture 13 Abstract classes and methods
Section 4: Module 4: Advanced Java Programming Concepts
Lecture 14 Custom exceptions and exception propagation
Lecture 15 Working with lists, sets, maps, and queues
Lecture 16 Sorting, searching, and iterating through collections
Lecture 17 Lambda expressions and functional interfaces
Section 5: Module 5: Working with Files and I/O in Java
Lecture 18 Reading and writing files using Java I/O
Lecture 19 File handling and management
Lecture 20 Understanding object serialization
Lecture 21 Use cases of serialization and deserialization
Section 6: Module 6: Multithreading and Concurrency
Lecture 22 Understanding threads and concurrency
Lecture 23 Creating and managing threads in Java
Lecture 24 Synchronization techniques
Lecture 25 Deadlock, race conditions, and thread safety
Section 7: Module 7: Java GUI Programming with Swing
Lecture 26 Building a simple GUI application
Lecture 27 Handling events in Swing
Lecture 28 Layout managers and designing user interfaces
Section 8: Module 8: Database Connectivity with Java
Lecture 29 Connecting to databases using JDBC
Lecture 30 Performing CRUD operations with JDBC
Lecture 31 Handling database exceptions
Anyone interested to start their career as a Java Developer.

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[mitsumi1]

Creating Your First Sisense Dashboard

Creating Your First Sisense Dashboard

Published 11/2021
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 174.09 MB | Duration: 1h 16m 4s​

This course will teach you how to create a Sisense ElastiCube data model dashboard with various widgets that is shareable with users in Sisense.


Sisense is a powerful business analytics platform that is specialized in self service analytics. In this course, Creating Your First Sisense Dashboard, you'll learn to develop dashboards in Sisense. First, you'll explore creating a data model in Sisense, connecting to a data source, and data fetching. Next, you'll discover creating various widgets organized in your dashboards. Finally, you'll learn to share the dashboard with basic administration. When you're finished with this course, you'll have the skills and knowledge of Sisense needed to create and share a dashboard.

Homepage:

https://www.pluralsight.com/courses/creating-first-sisense-dashboard

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[mitsumi1]

Digital Twins In Logistics

Digital Twins In Logistics

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.77 GB | Duration: 1h 12m

Digital Twins in Logistics: Virtual Modeling, Predictive Maintenance, and Performance Optimization​

What you'll learn
Define digital twin technology and explain its fundamental principles.
Identify the main components of a digital twin system, including sensors, data collection, simulation models, and real-time analytics.
Explore various applications of digital twins in logistics, such as virtual modeling of operations, asset management, and predictive maintenance.
Examine real-world examples and case studies of digital twin implementations in logistics.
Examine the advantages of digital twins in logistics: better efficiency, visibility, maintenance, and risk management.
Requirements
No requirements
Description
The "Digital Twins in Logistics: Revolutionizing Supply Chain Management" course is your comprehensive guide to understanding and applying digital twin technology in the logistics industry. This course covers a vast array of applications and scenarios, from virtual modeling of logistics operations and asset management to predictive maintenance and performance optimization. You'll learn how digital twins can enhance visibility, efficiency, and decision-making by creating real-time digital replicas of physical assets and processes. The course also addresses challenges and best practices, ensuring you are well-prepared to implement digital twins effectively.Throughout the course, you'll engage with interactive modules, case studies, and practical projects designed to provide a thorough understanding of digital twin technology and its applications in logistics. Topics include creating digital twins for logistics operations, using digital twins for predictive maintenance of equipment, and optimizing performance through real-time simulations. You'll also explore the integration of digital twins with IoT, AI, and data analytics to enhance decision-making and operational efficiency.Whether you are a logistics professional aiming to optimize operations, a business leader seeking strategic insights, or an enthusiast eager to explore digital twins, this course will provide you with the knowledge and skills to succeed in the rapidly evolving logistics landscape. By the end of the course, you will be equipped to leverage digital twin technology to transform your logistics operations, improve visibility, and drive efficiency. Practical examples and case studies will illustrate the tangible benefits of digital twins, preparing you to lead initiatives confidently within your organization.
Overview
Section 1: Introduction
Lecture 1 Welcome!
Lecture 2 About Digital Twins
Lecture 3 Application of Digital Twins
Lecture 4 Importance of Digital Twins in Supply Chain Part 1
Lecture 5 Importance of Digital Twins in Supply Chain Part 2
Lecture 6 Mastering Digital Twins
Lecture 7 Blockchain usage in Various Industries
Lecture 8 Digital Twins Revolutionizing Supply Chain Optimization
Lecture 9 How Digital Twins Revolutionize Asset Management
Lecture 10 Integrating Digital Twins with Blockchain
Lecture 11 Real-Time Monitoring with Digital Twins
Lecture 12 Future of Digital Twins in Shipping & Logistics
Lecture 13 Case Studies
Lecture 14 Company Deep-Dive DHL and Maersk
Lecture 15 Company Deep-Dive Geodis
Lecture 16 Company Deep-Dive XPO
Lecture 17 Conclusion
Students,Business Owners,Logistics Professionals

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Homepage:

https://sanet.st/blogs/training4all/Https://anonymz.com/?https://www.udemy.com/course/digital-twins-in-logistics/

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[mitsumi1]

Discover Your Strengths, Craft Your Dream Career

Discover Your Strengths, Craft Your Dream Career

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.45 GB | Duration: 0h 57m

Monetize Your Skills: A Blueprint for Your Dream Career, Business or Content Creation​

What you'll learn
Identify Your Core Strengths: Students will be able to recognize their unique talents, skills, and passions through self-assessment exercises
Explore Diverse Career Paths
Develop a Personalized Career Roadmap: Students will create a customized action plan, setting clear goals, identifying necessary skills
Build Confidence for Career Transition: Students will develop the self-belief and skills needed to pursue new opportunities
Requirements
No experience or idea needed. Only you, a couple sheets of paper and a pen.
Description
Tired of dreaming and ready to start living?Create your dream life blueprint and turn your passions into a fulfilling career or thriving side-hustle in "The Dream Life Blueprint"!This course is your step-by-step guide to:Uncovering Your Strengths: Identify your unique talents and passions and discover how to leverage them for success.Defining Your "Why": Discover your core values and motivations to fuel your dream career journey.Brainstorming & Refining: Generate exciting business, career, and content creation ideas that align with your strengths.Monetizing Your Passion: Explore practical ways to turn your skills and passions into profit.No more feeling stuck or unfulfilled. This course provides the tools and actionable steps to transform your dreams into reality. Whether you're looking to launch a business, land your ideal job, or start creating content you love, this course will guide you every step of the way.This course is made to help you decide on your own path. Change a career, step up your game, start a business, or start a content creation journey!The world is at your feet - why not just grab it and do what you love most?Join "Discover Your Strengths, Craft Your Dream Career" today and start building a life you love!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Storytime - why is this important
Lecture 3 Workbook
Section 2: What is your WHY
Lecture 4 What is your WHY?
Section 3: Your strengths and ideas - building up your dream life
Lecture 5 Ideas, ideas, ideas...
Lecture 6 Ease the chaos
Lecture 7 Ease the chaos (part 2)
Lecture 8 Questions to ask yourself
Section 4: Congratulations!
Lecture 9 Congratulations
People looking to change their career, start business, or start content creation journey,People, who already have ideas or existing businesses that need to re-define their goals,Self-Improvement fans

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[mitsumi1]

Empower: A Young Woman'S Guide To Health & Wellness

Empower: A Young Woman'S Guide To Health & Wellness

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.07 GB | Duration: 1h 34m

Empowering young women through education to learn about their bodies and make informed health choices.​

What you'll learn
Identify healthy practices for wellness, sleep, and nutrition
Discuss the many types of female infections and how to protect yourself
Explain the various methods of pregnancy prevention with pros and cons
Define consent and learn how to give it and get it
Learn about the different types of problems occurring with menstrual cycles
Requirements
No experience needed, intended for ages 14 and older
Description
Empower is an online, self-paced course that teaches young women how to navigate personal health. The videos deep dive into the subjects that mystify young women such as period problems, infections, consent, pregnancy prevention, and overall health. There are few go-to legitimate resources to answer all of your questions, some of you didn't even know you had! It is all here -short videos to educate and empower you to make informed decisions about your health. These videos answer all of the questions you didn't know to ask or were too embarrassed to ask. Dr. Yehl digs into all the nitty-gritty about these subjects, so you feel like you have an in-depth understanding and overview of all the choices for great health. Sign up and get started on the videos, so you feel confident and informed about your health and wellness!VideosGetting HealthyInfectionsAll About PeriodsConsentBirth ControlDr. Yehl has been in healthcare for over 25 years. She is a high school physician and mother of 3 teens, and one tween.The content used in these videos is intended for educational and informational purposes only. The Video Content is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have read or seen in this video.
Overview
Section 1: Empower A Young Woman's Guide to Health, Wellness & Smarter Choices
Lecture 1 Getting Healthy
Lecture 2 All About Periods
Lecture 3 Consent
Lecture 4 Infections
Lecture 5 Birth Control
Young women who want to learn about their bodies, and prioritize their health

Homepage:

https://www.udemy.com/course/empower-a-young-womans-guide-to-health-wellness/

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[mitsumi1]

Foundations Of Li-Ion Batteries, Battery Management Systems

Foundations Of Li-Ion Batteries, Battery Management Systems

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.57 GB | Duration: 5h 11m​

A comprehensive course on getting you started with batteries and battery management systems with a practical approach


What you'll learn
Foundations of lithium-ion batteries
Foundations of battery management
Foundations of electric vehicle batteries
Practical understanding of batteries and battery management systems
Requirements
No prior experience is needed
Description
There are no pre-requisites to this course and no previous knowledge of Battery Technology or Battery Management Systems is needed.Are you looking for a successful career in the Electric Vehicle / Battery Technology industry?Are you a startup creating products and services for the EV / BMS industry?Are you an established business in the EV industry looking to up-skill your staff?Are you a university or college looking to train students for the EV industry?Are you a student aspiring for a fulfilling career in the EV industry?HERE'S WHAT IS INCLUDED IN THIS COURSEMODULE 1 - WHAT IS A BMS, IS IT NECESSARY?In this module, you will learn what a Battery Management System (BMS) is and why it is necessary in certain types of products.Intuitively understand what is inside a BMSWhat type of products need a BMSCan you ship a product without a BMSDo all battery types need a BMSMODULE 2 - DEEP DIVE INTO BMS HARDWARE AND IDENTIFYING COMPONENTSWhat hardware sections are in a BMSDive into a BMS schematic to understand its componentsHow to identify the parts of a vehicle BMSHow to identify the parts of a stationary storage BMSMODULE 3 - HOW DOES THE BMS SOFTWARE WORK TOGETHER WITH THE HARDWAREWhat is the difference between firmware, hardware and softwareWhat role does software play in a BMSHow does the BMS firmware work with the hardware to measure voltageHow does the BMS firmware work with the hardware to measure currentHow does the BMS firmware work with the hardware to measure temperatureMODULE 4 - BMS TECHNOLOGY COMPLEXITYWhat decides the rating of components in a BMSDo all products have similar BMSFailure mitigation mechanisms of a BMSMODULE 5 - DEBUGGING OF BMS SYSTEMSIdentifying failures in a BMSDebugging hardware failuresDebugging firmware failuresDevelop experience in failure analysis
Overview
Section 1: Introduction
Lecture 1 Battery Management Systems - why do we need them?
Lecture 2 Battery Managment Systems - what are they?
Section 2: BMS basics
Lecture 3 Overview of BMS - Part 1
Lecture 4 Overview of a BMS - part 2
Lecture 5 Overview of a BMS - part 3
Section 3: Lithium-ion cell basics
Lecture 6 Parameters that define a Lithium-ion cell
Lecture 7 What is inside a Lithium-ion cell
Lecture 8 Mechanical structure of a Lithium-ion cell
Section 4: Experiments with Lithium-ion cells
Lecture 9 Voltage of a cell
Lecture 10 Charging a Lithium-ion cell (Part 1)
Lecture 11 Charging a Lithium-ion cell (Part 2)
Lecture 12 Charging a Lithium-ion cell (Part 3)
Lecture 13 Charging a Lithium-ion cell (Part 4)
Section 5: Power conditioning and filtering
Lecture 14 Introduction to power conditioning
Lecture 15 How filtering is done
Lecture 16 Capacitive filtering
Lecture 17 Inductive filtering
Lecture 18 Diode filtering
Lecture 19 Noise characterization for EV homologation
Section 6: BMS design - signal acquisition
Lecture 20 Introduction to ICs used for signal acquisition
Lecture 21 Understanding IC functionality and pinouts from its datasheet
Lecture 22 Understanding schematics for signal acquisition
Section 7: Powering the BMS circuitry
Lecture 23 BMS power
Section 8: Isolation
Lecture 24 Understanding the importance of isolation
Lecture 25 Understanding voltage potential
Lecture 26 Calculation of isolation resistance
Lecture 27 Measurement of isolation in EVs
Section 9: HVIL (High voltage interlock loop)
Lecture 28 Understanding HVIL
Section 10: Precharge
Lecture 29 Understanding the need for pre-charging
Section 11: Contactor control
Lecture 30 What are contactors, how they are controlled and feedback circuits
Section 12: Cell balancing
Lecture 31 Why is balancing needed, passive vs active balancing
Students looking to get a job in the electric vehicle or battery industry,Professionals looking to get a job in the electric vehicle or battery industry

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[mitsumi1]

Generative Ai In Logistics

Generative Ai In Logistics

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.23 GB | Duration: 0h 56m​

Generative AI in Logistics: Supply Chain Design, Demand Forecasting, and Customer Experience


What you'll learn
Define generative AI and explain its fundamental principles.
Discover generative AI use in logistics like supply chain design, demand forecasting, customer experience improvement, and process automation.
Examine real-world examples and case studies of generative AI implementations in logistics.
Analyze the key benefits of using generative AI in logistics, including driving innovation, improving efficiency, and creating new opportunities.
Requirements
No requirements
Description
The "Generative AI in Logistics: Driving Innovation and Efficiency" course is your key to unlocking the transformative power of generative artificial intelligence in the logistics industry. This course covers a broad spectrum of applications and scenarios, from optimizing supply chain design and demand forecasting to enhancing customer experiences and automating creative processes. You'll learn how generative AI models can drive innovation, improve efficiency, and create new opportunities in logistics. The course also addresses challenges and ethical considerations, ensuring you are well-prepared to implement generative AI responsibly.Throughout the course, you'll engage with interactive modules, case studies, and practical projects designed to provide a comprehensive understanding of generative AI and its applications in logistics. Topics include using generative AI for supply chain optimization, developing predictive models for demand forecasting, and creating personalized customer experiences through AI-driven insights. You'll also explore how generative AI can automate complex processes, such as route planning and inventory management, leading to significant efficiency gains.Whether you are a logistics professional aiming to boost efficiency, a business leader seeking innovative solutions, or an enthusiast eager to explore generative AI's potential, this course will provide you with the knowledge and skills to excel in the fast-paced logistics industry. By the end of the course, you will understand how to leverage generative AI to drive innovation and operational improvements, preparing you to lead AI initiatives confidently within your organization. Practical examples and case studies will illustrate the transformative impact of generative AI, ensuring that you are well-equipped to navigate the complexities of AI integration and maximize its potential benefits.
Overview
Section 1: Introduction
Lecture 1 Welcome!
Lecture 2 About Generative AI
Lecture 3 Application of Generative AI
Lecture 4 Blockchain usage Gen AI
Lecture 5 Generative AI Revolutionizes Supply Chain Management
Lecture 6 Generative AI Revolutionizing Route Planning
Lecture 7 Generative AI Revolutionizing Supply Chains
Lecture 8 Generative AI Transforms Warehouse Automation
Lecture 9 How AI Models Revolutionize Logistics
Lecture 10 How Generative AI and IoT Revolutionize Logistics
Lecture 11 Preparing for the Next Wave of AI-Driven Innovations
Lecture 12 Secure and Ethical AI in Logistics
Lecture 13 Future of Generative AI in Global Shipping
Lecture 14 Traditional AI vs Generative AI - Key Difference
Lecture 15 Case Studies
Lecture 16 Conclusion
Logistics Professionals,Students,Business Owners

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[mitsumi1]

Get Motivated To Reach Your Goals

Get Motivated To Reach Your Goals

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.84 GB | Duration: 1h 37m​

This online course explores motivation, goal-setting, and the power of a success mindset for achieving your goals.


What you'll learn
Analyse your personality type and motivational triggers to set clear, realistic goals;
Identify various motivational blocks and their underlying causes;
Assess and implement effective strategies for overcoming motivational challenges or blocks;
Explain how to set SMART goals that lead to tangible success;
Create and adopt a mindset focused on abundance and opportunity;
Discuss the best and most effective approaches to stop thinking small;
Apply practical techniques to maintain consistent motivation and achieve sustained progress;
Outline advanced strategies for thinking big, empowering you to achieve exceptional success;
Recall and implement effective goal-setting and tracking techniques;
Describe how to develop a growth mindset and cultivate positive thinking patterns;
Outline the key motivational theories that drive personal and professional success;
Generate a plan and establish a system to achieve your goals and find success
Requirements
No experience needed. You will learn everything you need to know.
Description
Motivation is a pivotal force in driving us toward our objectives, providing the essential energy and determination needed to navigate the path to success. It fuels our daily actions, helping us persevere through challenges and maintain focus on our goals. Without motivation, the journey toward achieving our dreams can feel overwhelming and unattainable. This course is meticulously designed to help you tap into and sustain this vital inner drive. It explores various methods to ignite and maintain motivation, ensuring that you can stay committed and resilient as you pursue your goals. By engaging with this course, you will develop a deeper understanding of how to set realistic and achievable goals, stay motivated despite setbacks, and ultimately turn your aspirations into tangible achievements.Throughout this comprehensive course, you will be introduced to foundational and advanced theories of motivation. You'll delve into the intricacies of how different personality types influence motivation and how this understanding can help you tailor your approach to achieving success. The course covers a range of motivational theories, offering practical strategies to address and overcome common motivational blocks. Key areas of focus include the principles of Motivation Theory, effective techniques for overcoming obstacles that hinder motivation, and the benefits of cultivating a positive mindset. You'll also learn how to create and implement a system for setting and achieving your goals, ensuring that you can navigate the journey with confidence and clarity.This course is designed to cater to a diverse audience, making it ideal for anyone eager to enhance their motivation and achieve their goals. Whether you are a professional seeking to advance your career, a student aiming for academic excellence, an entrepreneur looking to grow your business, or an individual interested in personal development, this course offers valuable insights and actionable strategies. It is especially beneficial for those who feel stuck in their current situation, face difficulties with goal-setting, or need assistance in overcoming obstacles. By enrolling in this course, you'll gain the tools and knowledge necessary to set and accomplish your goals, develop a robust plan for success, and unlock your full potential. Through engaging content and practical guidance, you will be empowered to transform your aspirations into reality and achieve meaningful, lasting success.
Overview
Section 1: Introduction
Lecture 1 1. Introduction_What You Will Learn
Lecture 2 2. Old School Motivational Theory
Lecture 3 3. Know Your Personality Type
Lecture 4 4. Motivational Blocks You May Experience
Lecture 5 5. Smart Ways to Unblock Yourself
Lecture 6 6. Last Smart Ways to Unblock Yourself
Section 2: 2 Module
Lecture 7 1. Thinking Small and some of its Limiting Belives
Lecture 8 2. Another Negative Signs of Thinking Small
Lecture 9 3. More Negative Signs of Thinking Small
Lecture 10 4. The Last Negative Signs of Thinking Small
Lecture 11 5. Thinking Big And its Benefits to You
Lecture 12 6. More Benefits from Thinking Big
Lecture 13 7. The Last Benefits from Thinking Big
Section 3: 3 Module
Lecture 14 1. Know What You Want to Achieve
Lecture 15 2. Know Why You Want to Achieve It
Lecture 16 3. Understand SMART Goal Setting
Lecture 17 4. Schedule Everything into Your Calendar
Lecture 18 5. Get Rid of Distractions
Section 4: 4 Module
Lecture 19 1. What you want costs
Lecture 20 2.Create Systems That Prepare You for Success
Lecture 21 3. More Syspems for Motivation
Lecture 22 4. Next Systems That Prepare You for Success
Lecture 23 5.Last Systems Helping Motivation Towards Success
the course is for anyone who wants to get motivated: For beginners who want to learn to be motivated. And also it is for employees that want to reach their goals.

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[mitsumi1]

Getting Started with ArcGIS Pro

Getting Started with ArcGIS Pro

Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 0m | Size: 764 MB

​

Learn the basics of ArcGIS Pro with all necessary details


What you'll learn
Fundamentals of geographic information systems
Management of spatial and attribute data
Map projections and coordinate systems
Layout map production
Data production and editing
Basic spatial analysis
Location-based and attribute-based database queries
Requirements
Basic knowledge of cartography
Basic computer skills
Description
With this training, you can get a quick start on ArcGIS Pro software. All the topics you need are explained in a concise manner within the scope of the basic training, and no necessary detail is overlooked. Almost every video includes an application, and you can accompany these applications using the data I share.This basic level training will be a building block for more advanced topics such as raster data processing and analysis, spatial databases, point cloud analysis, remote sensing analysis that I will publish later, and will make it easier for me to prepare a roadmap for you regarding GIS learning.The following topics are included in the training;- Important general information about geographic information systems (What is GIS? Difference between raster and vector data, map projections and coordinate systems, difference between geographic and projection coordinate systems)- Displaying raster and vector data (point, line, polygon) on a map- Editing an attribute table and associating it with a map, adding columns and deleting columns- Defining and changing a coordinate system- Creating a map from scratch (layout view and adding scale, legend, north arrow, title)- Simple spatial analyses (buffer, intersect, dissolve, union, append, erase, merge, clip)- Basic database queries (location-based and attribute-based query operations)
Who this course is for
Engineers, urban planners, architects and geographers who are planning or just starting out on a career in Geographic Information Systems

Homepage:

https://www.udemy.com/course/getting-started-with-arcgis-pro/

Screenshots

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[mitsumi1]

How To Persuade When Facts Don'T Seem To Matter

How To Persuade When Facts Don'T Seem To Matter

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.05 GB | Duration: 5h 4m​

"Master Persuasion: Understand Psychological Strategies, Emotional Influence, Ethical Leadership, & Effective Communicat


What you'll learn
Recognize the impact of emotions on perception and decision-making processes.
Identify common cognitive biases that influence belief systems and how they resist contrary evidence.
Analyze real-world case studies where facts failed to persuade in high-stakes scenarios.
Evaluate the intersection of identity, belief systems, and perception of facts.
Discuss how media and culture shape perceptions beyond objective reality.
Describe how social proof and authority can override factual decision-making processes.
Create narratives that leverage the power of storytelling to persuade beyond pure facts.
Apply reciprocity and commitment strategies to build trust and influence without relying on facts.
Use consistency to shape beliefs and enhance persuasion effectiveness.
Assess real-life examples of successful persuasion in fact-resistant contexts.
Demonstrate empathy and active listening skills to build trust quickly.
Implement authenticity and transparency strategies when facts aren't persuasive enough.
Develop long-term credibility with diverse audiences through consistent engagement and reliability.
Formulate strategies for engaging skeptically or distrustfully, emphasizing trust-building.
Adapt communication styles to align with audience values and beliefs for effective messaging.
Incorporate emotional appeals in crafting messages that are both sticky and persuasive.
Reframe arguments to align with audience core values over strict reliance on facts.
Identify psychological defenses in conversations and employ strategies to address them.
Utilize non-confrontational techniques to guide others toward new perspectives.
Employ storytelling as a tool to simplify complex ideas and persuade without relying on facts.
Requirements
here are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course.
Basic understanding of psychological principles related to human behavior and decision-making.
Familiarity with communication theories and practices.
An interest in learning about persuasion and its applications in various contexts.
Description
Do you ever find yourself in conversations where facts seem to fall short in persuading others? Are you looking to enhance your communication skills to navigate the complexities of modern discourse effectively? If so, welcome to "The Art of Persuasion: Mastering Communication in the Digital Age" course!In a world where beliefs, perceptions, and emotions play a crucial role in shaping individuals' decision-making processes, mastering the art of persuasion goes beyond presenting mere facts. This course is designed to equip you with the tools, strategies, and insights to communicate effectively, build trust, and influence others positively in various contexts.Throughout this course, you will delve into the power of perception and emotions in shaping beliefs, understand how cognitive biases influence decision-making processes, and explore real-world case studies where facts fail to persuade in high-stakes scenarios. You will also analyze how media and culture shape perceptions beyond objective reality, providing you with a holistic understanding of the dynamic nature of communication.As you progress, you will explore the psychology of persuasion beyond logic and evidence, discovering the influence of social proof, storytelling, reciprocity, and commitment in building trust and rapport. Through case studies and practical exercises, you will learn to craft messages that resonate with diverse audiences, adapt communication styles to align with values and beliefs, and navigate polarized conversations with empathy and respect.Building credibility and trust in a skeptical world is key to successful persuasion. In this course, you will uncover the importance of authenticity, transparency, and active listening in engaging with skeptical individuals, along with strategies for overcoming resistance and defensiveness in challenging dialogues.Moreover, you will learn the art of crafting compelling narratives that drive change and resonate emotionally with audiences, using storytelling as a powerful tool for persuasion. By understanding the science of memory and leveraging non-verbal communication cues effectively, you will enhance your ability to create memorable and impactful messages.Navigating the influence of technology and social media in persuasion, countering misinformation and disinformation, and applying ethical frameworks in persuasion are crucial aspects covered in this course. You will also explore the role of values and morals in shaping persuasion, applying persuasion in leadership and management, and mastering negotiation and conflict resolution strategies.By the end of this course, you will have the skills, knowledge, and confidence to apply persuasion techniques effectively in real-life scenarios, evaluate the impact of your efforts, and continuously refine your approach for persuasive success. Whether you are a professional looking to enhance your communication skills, a student navigating challenging conversations, or an individual seeking to influence positive change, this course offers invaluable insights and practical strategies to help you succeed.Join me on this captivating journey of mastering communication in the digital age and unlock the power of persuasion to make a meaningful impact in your personal and professional endeavors. Enroll now and embark on a transformational learning experience that will elevate your communication skills to new heights.
Overview
Section 1: Understanding the Power of Perception in Modern Communication
Lecture 1 The Role of Emotions in Shaping Perception and Decision-Making Processes
Lecture 2 Download The *Amazing* +100 Page Workbook For this Course
Lecture 3 Introduce Yourself To Your Fellow Students And Tell Us What You Want To Learn
Lecture 4 How Cognitive Biases Influence Belief Systems and Resist Contrary Evidence
Lecture 5 Real-World Case Studies of Facts Failing to Persuade in High-Stakes Scenarios
Lecture 6 The Intersection of Identity, Belief Systems, and Perception of Facts
Lecture 7 Analyzing How Media and Culture Shape Perceptions Beyond Objective Reality
Lecture 8 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!!
Section 2: The Psychology of Persuasion: Beyond Logic and Evidence
Lecture 9 How Social Proof and Authority Influence Decision-Making Over Facts
Lecture 10 The Power of Storytelling: Crafting Narratives That Resonate Over Pure Facts
Lecture 11 Using Reciprocity and Commitment to Build Trust and Influence Without Facts
Lecture 12 Understanding the Role of Consistency in Shaping Beliefs and Persuasion
Lecture 13 Case Studies: Analyzing Successful Persuasion in Fact-Resistant Contexts
Section 3: Building Credibility and Trust in a Skeptical World
Lecture 14 The Importance of Empathy and Active Listening in Building Trust Quickly
Lecture 15 Leveraging Authenticity and Transparency When Facts Aren't Persuasive
Lecture 16 How to Build and Maintain Long-Term Credibility in Diverse Audiences
Lecture 17 Strategies for Engaging with Skeptical or Distrustful Individuals
Lecture 18 Real-Life Examples of Leaders Building Trust Without Relying Solely on Facts
Section 4: Crafting Messages That Resonate With Diverse Audiences
Lecture 19 Adapting Communication Styles to Align With Audience Values and Beliefs
Lecture 20 The Role of Emotional Appeals in Creating Messages That Stick and Persuade
Lecture 21 Understanding Audience Demographics and Psychographics for Targeted Influence
Lecture 22 Strategies for Reframing Arguments to Align With Core Values Over Facts
Lecture 23 Case Studies: Effective Messaging in Politically or Emotionally Charged Debates
Section 5: Overcoming Resistance and Defensiveness in Conversations
Lecture 24 Recognizing and Addressing Common Psychological Defenses to New Information
Lecture 25 Strategies for Defusing Tension and Lowering Defenses During Difficult Dialogues
Lecture 26 Using Non-Confrontational Techniques to Guide Others Toward New Perspectives
Lecture 27 The Art of Asking Questions That Encourage Openness and Reflection
Lecture 28 Real-Life Examples of Overcoming Stubborn Resistance in Challenging Situations
Lecture 29 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >>
Section 6: Ethical Considerations in Persuasion Without Facts
Lecture 30 Understanding the Ethical Boundaries of Influence and Persuasion Techniques
Lecture 31 Balancing the Need for Influence With Respect for Autonomy and Truth
Lecture 32 The Risks and Consequences of Manipulative Persuasion Tactics in Society
Lecture 33 Ethical Frameworks for Decision-Making When Facts Are Less Persuasive
Lecture 34 Case Studies: Ethical Dilemmas in Persuasion and Influence in Modern Contexts
Section 7: Navigating Polarized Conversations in Divisive Times
Lecture 35 How to Maintain Respectful Dialogue When Facts Are Politically Charged
Lecture 36 Techniques for Bridging Divides Between Opposing Belief Systems
Lecture 37 Understanding the Role of Identity Politics in Polarized Discussions
Lecture 38 Strategies for Finding Common Ground in Highly Divisive Conversations
Lecture 39 Case Studies: Navigating Polarization in Media, Politics, and Social Movements
Section 8: Leveraging Social Dynamics to Strengthen Persuasion
Lecture 40 The Impact of Group Dynamics on Individual Beliefs and Persuasion
Lecture 41 Harnessing the Power of Social Identity to Influence Group Consensus
Lecture 42 Strategies for Persuading Within Tight-Knit Communities and Networks
Lecture 43 How to Use Peer Influence to Reinforce Messages Without Relying on Facts
Lecture 44 Real-World Examples of Social Dynamics Enhancing or Hindering Persuasion
Section 9: The Role of Non-Verbal Communication in Persuasion
Lecture 45 How Body Language and Facial Expressions Impact Perception and Persuasion
Lecture 46 Strategies for Using Non-Verbal Cues to Build Rapport and Influence
Lecture 47 Understanding the Importance of Tone and Pacing in Persuasive Communication
Lecture 48 The Role of Environment and Context in Shaping Non-Verbal Persuasion
Lecture 49 Case Studies: Analyzing Non-Verbal Communication in High-Stakes Scenarios
Section 10: Storytelling as a Tool for Persuasion Beyond Facts
Lecture 50 Understanding the Elements of Effective Storytelling in Persuasive Messaging
Lecture 51 Crafting Stories That Resonate Emotionally and Drive Change Without Facts
Lecture 52 Using Metaphors and Analogies to Simplify Complex Ideas and Persuade
Lecture 53 The Role of Cultural Narratives and Archetypes in Shaping Beliefs
Lecture 54 Real-Life Examples of Powerful Storytelling in Persuasion and Influence
Lecture 55 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >>
Section 11: The Science of Memory and Its Role in Persuasion
Lecture 56 How Memory Biases Influence Belief Formation and Resistance to Facts
Lecture 57 Techniques for Creating Memorable Messages That Stick With Your Audience
Lecture 58 Understanding the Role of Repetition and Reinforcement in Persuasion
Lecture 59 Leveraging the Power of Emotional Memories to Influence Belief Systems
Lecture 60 Case Studies: Memory Manipulation in Advertising, Politics, and Media
Section 12: The Influence of Technology and Social Media on Persuasion
Lecture 61 How Algorithms Shape Perception and Influence Without Relying on Facts
Lecture 62 Strategies for Crafting Messages That Thrive in Social Media Environments
Lecture 63 Understanding the Role of Echo Chambers and Filter Bubbles in Persuasion
Lecture 64 How to Leverage Social Media Influencers to Spread Persuasive Messages
Lecture 65 Real-Life Examples of Technology's Impact on Belief Systems and Persuasion
Section 13: Managing and Responding to Misinformation and Disinformation
Lecture 66 How Misinformation Spreads and Takes Root Despite Contradictory Facts
Lecture 67 Techniques for Countering Disinformation Without Reinforcing False Beliefs
Lecture 68 Strategies for Building Resilience Against Misinformation in Your Audience
Lecture 69 The Role of Fact-Checkers and Media Literacy in Combating Falsehoods
Lecture 70 Case Studies: Successful Campaigns Against Misinformation and Disinformation
Section 14: The Role of Values and Morals in Shaping Persuasion
Lecture 71 Understanding How Core Values Influence Receptiveness to Persuasion
Lecture 72 Strategies for Aligning Persuasive Messages With Audience Values and Morals
Lecture 73 How to Navigate Conflicts Between Personal Values and Persuasive Goals
Lecture 74 The Impact of Cultural and Religious Values on Persuasion Strategies
Lecture 75 Real-Life Examples of Value-Based Persuasion in Various Contexts
Section 15: Applying Persuasion in Leadership and Management
Lecture 76 How Leaders Use Persuasion to Drive Change and Inspire Teams Without Facts
Lecture 77 Strategies for Building Consensus and Commitment Among Diverse Stakeholders
Lecture 78 The Role of Vision and Inspiration in Leadership Persuasion Strategies
Lecture 79 Managing Conflict and Resistance in Organizations Through Persuasion
Lecture 80 Case Studies: Successful Leadership and Management Through Persuasion
Lecture 81 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >>
Section 16: Persuasion in Negotiation and Conflict Resolution
Lecture 82 Strategies for Persuading Opponents and Finding Common Ground in Negotiations
Lecture 83 Understanding the Role of Compromise and Concession in Persuasion
Lecture 84 How to Manage Emotions and Power Dynamics in High-Stakes Negotiations
Lecture 85 The Art of Active Listening and Reframing in Conflict Resolution
Lecture 86 Real-Life Examples of Successful Negotiation and Conflict Resolution Tactics
Section 17: Building and Leading Persuasive Campaigns
Lecture 87 How to Design and Implement Persuasive Campaigns in Various Contexts
Lecture 88 Understanding the Role of Target Audience Analysis in Campaign Success
Lecture 89 Strategies for Amplifying Persuasive Messages Across Multiple Platforms
Lecture 90 The Importance of Feedback and Adaptation in Campaign Execution
Lecture 91 Case Studies: Analysis of Successful Persuasive Campaigns in History
Section 18: The Future of Persuasion: Trends and Emerging Strategies
Lecture 92 Exploring Emerging Technologies and Their Impact on Persuasion Techniques
Lecture 93 Understanding the Role of Artificial Intelligence in Personalized Persuasion
Lecture 94 The Ethics and Risks of Advanced Persuasion Technologies in Society
Lecture 95 How to Stay Ahead of Persuasion Trends in an Ever-Changing World
Lecture 96 Real-Life Examples of Cutting-Edge Persuasion Strategies in Action
Section 19: Evaluating the Effectiveness of Your Persuasion Efforts
Lecture 97 How to Measure and Analyze the Impact of Persuasion on Target Audiences
Lecture 98 Strategies for Adjusting and Refining Your Approach Based on Feedback
Lecture 99 Understanding the Role of Long-Term Follow-Up in Persuasive Success
Lecture 100 The Importance of Continuous Learning and Adaptation in Persuasion
Lecture 101 Case Studies: Evaluating Successful and Failed Persuasion Campaigns
Section 20: Applying Course Concepts to Real-Life Scenarios
Lecture 102 Guided Exercises to Apply Persuasion Concepts in Your Personal Context
Lecture 103 How to Identify Opportunities for Persuasion in Everyday Interactions
Lecture 104 Strategies for Building Persuasion Skills Through Practice and Reflection
Lecture 105 Creating a Personal Development Plan for Continued Growth in Persuasion
Lecture 106 Real-Life Success Stories of Applying Course Concepts in Various Situations
Lecture 107 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!!
Section 21: Your Assignment: Write down goals to improve your life and achieve your goals!!
Marketing professionals aiming to enhance their persuasive communication strategies.,Managers and leaders interested in driving change within their organizations through more effective persuasion.,Social media influencers wanting to build trust and credibility with their audience without solely relying on factual content.,Political or social activists looking to navigate and bridge polarized discussions and debates.,Sales representatives seeking to refine their pitch and negotiation skills through understanding psychological and emotional triggers.,Educators and trainers aiming to employ more engaging and persuasive teaching methods in environments resistant to traditional factual approaches.

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[mitsumi1]

How To: Preliminary Hazard Identification (Mil-Std-882E)

How To: Preliminary Hazard Identification (Mil-Std-882E)

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 649.79 MB | Duration: 1h 27m

Learn multiple techniques to identify product and process hazards!​

What you'll learn
Recognize analysis Task 201 in Mil-Std-882E System Safety Engineering
Apply PHI Technique - Historical Review
Apply PHI Technique - Hazard Checklists
Apply PHI Technique - such as Functional Failure Analysis
Understand Methods - Recording Results & Contracting
Requirements
No prior experience needed, although you will benefit from understanding basic concepts of System Safety.
Description
WelcomeHello, everyone, and welcome to the Safety Artisan, where you will find instructional materials that are professional, pragmatic, and impartial because we don't have anything to sell. We don't have an axe to grind. Let's look at what we're doing today: Preliminary Hazard Identification. We are looking at the first analysis tasks in Mil-Std-882E, which is a systems safety engineering standard from the US government, and it's typically used on military systems, but it does turn up elsewhere.Topics for this SessionTask 201 Purpose & Task Description;Historical Review;Recording Results;Contracting; andCommentary:Historical Data;Hazard Checklists; andAnalysis Techniques.What we're going to cover is, quoting from the task first of all, we're going to look at the purpose and the task description, where the task talks quite a lot about historical review (I think we've got three slides of that), recording results, puttingstuff in contracts and then I'm adding some commentary of my own. I will be commenting all the way through, that's the value add, and that's why I'm doing this, but then there's some specific extra information that I think you will find helpful, should you need to implement Task 201. In this session, we've moved up one level from awareness and we are now looking at practice, at being equipped actually to perform safety jobs, to do safety tasks.
Overview
Section 1: Course Introduction
Lecture 1 Preliminary Hazard Identification (PHI) Video Highlights
Section 2: Course Videos
Lecture 2 Introduction
Lecture 3 Task 201 Purpose
Lecture 4 Historical Review
Lecture 5 Recording Results
Lecture 6 Contracting for PHI
Lecture 7 Commentary & Historical Data
Lecture 8 Hazard Checklists & Analyses
Section 3: Course Resources
Lecture 9 Download the Entire Video
Section 4: Free Peak at the Next Course in the Series
Lecture 10 Preliminary Hazard Analysis (Mil-Std-882E, Task 202) Highlights
Beginners in Hazard Analysis, Safety Risk Assessment, Designers, Managers.

Screenshots

rapidgator.net:

https://rapidgator.net/file/39ff79f5727025dd8ad3d85eb2676d9c/nqomx.How.To.Preliminary.Hazard.Identification.MilStd882E.rar.html

ddownload.com:

https://ddownload.com/yb4tzdwhjhxl/nqomx.How.To.Preliminary.Hazard.Identification.MilStd882E.rar

 

[mitsumi1]

How Vc Investors Think About Ai Startups With Sramana Mitra

How Vc Investors Think About Ai Startups With Sramana Mitra

Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.72 GB | Duration: 6h 23m​

Learn Investor Perspectives and Decision Making Processes Around Investing in Artificial Intelligence Startups


What you'll learn
Through interviews with real-world AI startup investors you will come to understand investor-entrepreneur fit.
How you can think from an investor's point of view when pitching your artificial intelligence startup.
What you can do to increase your chances of getting an AI startup funded.
Where you can seek further mentorship regarding AI startup funding.
Requirements
The only requirement for this course is an open mind and a willingness to learn.
Description
The 1Mby1M Methodology is based on case studies. In this course, Sramana Mitra shares the tribal knowledge of tech startup investors by giving students the rare seat at the table with investors who provide the most instructive perspectives on how to build a thriving business. Through these conversations, students gain access to case studies exploring the alleys of entrepreneurship. Sramana's synthesis of key learnings and incisive analysis add great depth to each discussion.There's a lot of confusion around AI right now. The hype is astronomical. Amidst this noisy environment, we're trying to bring you some signal, some wisdom. To that end, we've been speaking with many VC investors to gain their perspectives and share these conversations in this course to help guide entrepreneurs who are building or interested in artificial intelligence startups that may need funding.This course is an exploration of AI investment strategies in the current tech landscape, highlighting investor perspectives in the Age of AI. You'll learn how machine learning is shaping VC decision-making and hear about specific examples of AI companies they invested in and the rationale behind these choices.Many conversations cover enterprise AI adoption, focusing on what investor portfolios reveal about the behavior of ML buyers in enterprises. Investors share views on the potential of general artificial intelligence versus specialized vertical applications, particularly in sectors they find promising.Other key themes we explore include the challenge of AI hallucination, where generative AI produces inaccurate information, and its impact on the industry. There's also a focus on whether the investor is backing AI platforms and applications built on third-party platforms or PaaS, exploring the infrastructure required to scale AI. We talk about superintelligence potentially rendering vertical AI obsolete and what future investments might look like in five years.Altogether, this course reveals the strategic approach of investors to AI startups, shares current learnings from their portfolios, and their projections for the future of AI technology and its broader implications. Let's get started!
Overview
Section 1: How Investors Think About AI Startups
Lecture 1 Introduction
Lecture 2 How Investors Think About Artificial Intelligence Startups
Lecture 3 AI Picks & Shovels
Lecture 4 AI Investment Thesis Discussion with Ashmeet Sidana, Engineering Capital
Lecture 5 AI Investment Thesis Discussion with Naganand Doraswamy, Ideaspring Capital
Lecture 6 LLM vs. SLM AI
Lecture 7 AI Investment Thesis Discussion with Rajeev Madhavan, Clear Ventures
Lecture 8 AI Investment Thesis Discussion with Jukka Alanen, Rebellion Ventures
Lecture 9 AI Investment Thesis Discussion with Sailesh Ramakrishnan, Rocketship.vc
Lecture 10 AI Investment Thesis Discussion with Jishnu Bhattacharjee, Nexus Venture Partner
Lecture 11 Vertical AI
Lecture 12 AI Investment Thesis with Yash Hemaraj, General Partner at BGV
Lecture 13 Incumbents vs. New AI
Lecture 14 AI Investment Thesis with Ashish Gupta, Clearvision Ventures
Section 2: Additional Content
Lecture 15 Practice Exercise
Lecture 16 Extra
AI entrepreneurs who want to think like investors and increase their chances of getting funded.,Aspiring AI founders who want to increase their chances of getting accepted into a top startup accelerator such as Y Combinator, Techstars, or 500 Startups.,Developing world entrepreneurs who want to increase their chances of getting investment for their AI startup..,Professors worldwide teaching AI entrepreneurship courses.

Screenshots

rapidgator.net:

https://rapidgator.net/file/e1278641a43a60367ec6827968f7dcae/gfcox.How.Vc.Investors.Think.About.Ai.Startups.With.Sramana.Mitra.part1.rar.html
https://rapidgator.net/file/133cab83513ad2b7b048d08c7fb3ec94/gfcox.How.Vc.Investors.Think.About.Ai.Startups.With.Sramana.Mitra.part2.rar.html

ddownload.com:

https://ddownload.com/wykwxcqkeaqf/gfcox.How.Vc.Investors.Think.About.Ai.Startups.With.Sramana.Mitra.part1.rar
https://ddownload.com/s8h83nrbug4z/gfcox.How.Vc.Investors.Think.About.Ai.Startups.With.Sramana.Mitra.part2.rar