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Старый 16.11.2024, 08:12   #811
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По умолчанию Data Structures and Algorithms Simplified Bootcamp


Free Download Data Structures and Algorithms Simplified Bootcamp
Published 10/2024
Created by Bonaventure Ogeto
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 42 Lectures ( 7h 49m ) | Size: 2.3 GB

Bite-Sized Lessons for Beginners and Developers: Learn, Practice, and Master Data Structures, Algorithms
What you'll learn
Understand and implement common data structures like arrays, linked lists, stacks, and queues.
Learn various searching and sorting algorithms, including linear search, binary search, and quicksort.
Apply key concepts of algorithms to solve real-world problems efficiently.
Master algorithmic thinking, enabling optimal solutions for technical interview questions and coding challenges.
Develop problem-solving skills, tackling challenges like Fibonacci, factorial, and backtracking problems.
Requirements
No prior experience in data structures and algorithms is required. This course is beginner-friendly.
Basic understanding of any programming language (e.g., Python, JavaScript, C++) is helpful but not mandatory.
A computer and internet connection to follow along with coding exercises and quizzes.
Willingness to solve problems and practice consistently
Description
Data Structures and Algorithms Simplified BootcampMaster the Building Blocks of Coding, Ace Your Interviews, and Solve Real-World Problems with Confidence!Are you struggling to grasp the complex parts of data structures and algorithms? Or maybe you're preparing for a coding interview and need a refresher? Whether a beginner or an experienced developer, this bootcamp series offers bite-sized, easy-to-understand lessons to help you level up your coding skills-step by step.What You'll Learnata Structures: Master arrays, linked lists, stacks, queues, trees, graphs, and hash tables Algorithms: Understand sorting, searching, recursion, dynamic programming, greedy algorithms, and backtracking Problem-Solving Techniques: Learn patterns to tackle technical challenges with ease Interview Prep: Get tips and practice problems to crack coding interviews at top tech companies Real-World Applications: Discover how data structures and algorithms are applied in search engines, social networks, and more Why This Course?Bite-Sized Lessons: Perfect for learners with busy schedules-make meaningful progress in minutes Beginner-Friendly & Refreshing for Experts: Start from scratch or jump straight to advanced topics Hands-On Learning: Real coding examples and practical problems after every concept Clear Explanations: No jargon-just easy-to-follow lessons designed to build your confidence Lifetime Access: Revisit any topic whenever you need.Who Is This Course For?Aspiring developers who want to build a strong foundation in coding Developers preparing for technical interviews or coding challenges CS students needing extra support to ace data structures and algorithmsAnyone looking to solve problems faster and write efficient code By the End of This Course, You Will:Master key concepts in data structures and algorithms Be interview-ready with practical coding skills and problem-solving techniques Confidently write optimized code for real-world applications Gain the skills employers seek in top software development roles Join us now and build the skills you need to become a confident programmer one step at a time.
Who this course is for
Beginners in programming who want to build a strong foundation in data structures and algorithms.
Developers preparing for coding interviews or technical assessments for software engineering roles.
Students or professionals who want a refresher in data structures and algorithms for career advancement.
Anyone interested in improving problem-solving skills and optimizing code performance.
Computer science enthusiasts or professionals aiming to improve their understanding of algorithmic thinking and optimize solutions for complex problems.
Homepage
Код:
https://www.udemy.com/course/data-structures-and-algorithms-simplified-bootcamp/
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Старый 16.11.2024, 08:14   #812
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По умолчанию Data Visualization Using Tableau by IIBM Institute


Free Download Data Visualization Using Tableau by IIBM Institute
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.63 GB | Duration: 12h 46m
"Data Visualization Using Tableau : Data Visualization ,Tableau ,Dashboard, Data Analysis ,Interactive Reporting."

What you'll learn
Data Visualization Techniques: Learn to create and interpret various graph types, including bar and line graphs, for effective data representation.
Geographic Mapping and Data Integration: Utilize geographic location mapping and understand different join types and data blending for comprehensive analysis.
Dashboard Design and Interactivity: Develop interactive dashboards using grouping, highlighting, and tooltips to enhance data presentation.
Advanced Analytics: Implement clustering and regression analysis to uncover insights and relationships within the data.
Practical Application and Storytelling: Apply learned concepts through hands-on exercises, creating compelling data stories that communicate insights effectivel
Requirements
To enroll in this Tableau course, participants should have basic computer skills and a foundational understanding of data concepts. Access to Tableau Desktop or Tableau Public is necessary for practical exercises. An analytical mindset and curiosity about data visualization will enhance the learning experience, enabling participants to effectively explore and communicate insights through data storytelling.
Description
In the "Data Visualization Using Tableau" course, you'll embark on a comprehensive journey to master one of the leading tools for data visualization. This course is designed for individuals who want to transform complex data into insightful and engaging visual stories. Starting with the basics, you'll learn how to navigate Tableau's interface and utilize its powerful features to create a variety of visualizations, including charts, graphs, and maps. The curriculum covers essential topics such as data connection, preparation, and cleaning, ensuring you can work with diverse datasets effectively.You'll delve into the principles of effective dashboard design, creating interactive dashboards that allow users to explore data dynamically. Advanced analytics techniques, such as calculated fields and forecasting, will empower you to derive deeper insights from your data.Through hands-on exercises and real-world projects, you'll develop the skills needed to communicate your findings clearly and effectively. By the end of this course, you'll be equipped to make data-driven decisions and present compelling narratives that influence your audience, making you a valuable asset in any data-driven organization. Join us to unlock the full potential of your data.Learn to create impactful data visualizations using Tableau for effective storytelling.IIBM Institute of Business Management
Overview
Section 1: Introduction
Lecture 1 Tableau- Introduction to Graphs
Section 2: Tableau-Geographic Location Mapping
Lecture 2 Tableau-Geographic Location Mapping
Section 3: Tableau-Bar Graph Line Graph and Filters
Lecture 3 Tableau-Bar Graph Line Graph and Filters
Section 4: Tableau-Different Types of Joins
Lecture 4 Tableau-Different Types of Joins
Section 5: Tableau Data Blending
Lecture 5 Tableau Data Blending
Section 6: Tableau Storyline Creation
Lecture 6 Tableau Storyline Creation
Section 7: Tableau Data Interpreters and Cleaning
Lecture 7 Tableau Data Interpreters and Cleaning
Section 8: Tableau Dashboard Concepts
Lecture 8 Tableau Dashboard Concepts
Section 9: Tableau Grouping and Highlighters
Lecture 9 Tableau Grouping and Highlighters
Section 10: Tableau Cluster Creation and Modelling
Lecture 10 Tableau Cluster Creation and Modelling
Section 11: Tableau Regression Analysis
Lecture 11 Tableau Regression Analysis
Section 12: Tableau Step Up, Tool Tip Analysis and Grouping
Lecture 12 Tableau Step Up, Tool Tip Analysis and Grouping
Section 13: Project- Attrition Analysis and Bank Loan Modelling
Lecture 13 Project- Attrition Analysis and Bank Loan Modelling
Lecture 0 Solution-HR Analytics-Attrition Analysis
Lecture 0 Bank Loan Modelling and Complete Revision
This course is for data analysts, business professionals, and beginners eager to enhance their data visualization skills in Tableau for effective decision-making and insights presentation.
Screenshot
Homepage
Код:
https://www.udemy.com/course/data-visualization-using-tableau-q/




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Старый 16.11.2024, 08:16   #813
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По умолчанию Data and Database Fundamentals for CompTIA Tech+


Free Download Data and Database Fundamentals for CompTIA Tech+
Released 10/2024
By Warner Chaves
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 45m | Size: 234 MB

This course will teach you the basics of database concepts, data structures, data viewing options, and a backup plan for the CompTIA Tech+ exam.
In an increasingly data-driven world, professionals in Information Technology face the challenge of effectively managing and leveraging data to support organizational needs. In this course, Data and Database Fundamentals for CompTIA Tech+, you will learn to understand technologies related to implementing data structures in database services. First, you'll explore the value of data in Information Technology used by various structure options for those dependent on data to run organizations. Next, you'll discover the concepts and purpose of various database services and the data structures that can be used. Finally, you'll learn the steps and importance of backups for a failover system. When you finish this course, you'll have the skills and knowledge of data and database fundamentals needed for the CompTIA Tech+ exam.
Homepage
Код:
https://www.pluralsight.com/courses/data-database-fundamentals-comptia-tech-plus
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Старый 16.11.2024, 08:18   #814
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По умолчанию Data-Driven Leadership Strategic Impact Of Data


Free Download Data-Driven Leadership Strategic Impact Of Data
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.22 GB | Duration: 1h 0m
Creating Awareness for the vast growing Strategic Impact of Data in Traditional and Digital Business.

What you'll learn
Getting familiar with all definitions and components of data-related topics
Understanding of the contribution of data to business success
Understanding the challenges of a vast and daily growing amount of data to be handled
Senior Management will understand where they fall short in terms of opportunity cost and the benefits derived therein
This course will help senior managers validate the starting position for a data journey
Requirements
No prior knowledge of data or data management is required
Description
This module offers a comprehensive exploration of data's pivotal role in both traditional and digital businesses. It begins by examining the significance of data in business operations, focusing on how organizations can build trust and confidence in data to make informed decisions. Participants will explore the transformative concept of data-driven business, emphasizing data as a strategic asset.The course will delve into the data ecosystem, fostering an understanding of data culture and data citizenship, and how these shape modern society. Learners will also gain insight into data's role in enterprise architecture, discovering how it integrates into business solutions for increased efficiency and innovation.A key focus is placed on the data management process framework and how organizations can structure themselves to maximize data's business benefits. Participants will assess opportunity costs, evaluate common mistakes, and conduct a self-assessment to gauge their organization's data maturity.Finally, the course offers a retrospective look at the evolution of data and the data journey, from early data collection practices to the modern era of big data and advanced analytics. The module equips learners with the skills to navigate the complexities of data management while leveraging data as a valuable business asset.Table of contentata in Traditional and Digital BusinessTrust and Confidence in DataData-driven BusinessData as an AssetData Eco-System, Data Culture, Data Society and Data CitizenshipData as Part of the Enterprise Solution ArchitectureData Management Process FrameworkData Management OrganizationBusiness BenefitsOpportunity CostsCommon MistakesEvolution of Data ManagementSelf-AssessmentData JourneyData StrategyThe eLearning course on the strategic impact of data in business targets four main groups: Senior Managers and Board Members seeking to understand the role of data in traditional and digital business models. Business Development Managers and Influencers of Senior Management who need to explain the strategic value of data and initiate data-driven projects aligned with business goals. Data Management Professionals aiming to elevate data management maturity and demonstrate its strategic impact. Lastly, Students and Data Enthusiasts are included to gain insight into how data drives business development and innovation in both traditional and digital contexts.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Data in Traditional and Digital Business
Lecture 2 Data in Tradtional and Digital Business
Lecture 3 Trust and Confidence
Lecture 4 Data-Driven Business
Lecture 5 Data as an Asset
Lecture 6 Data Eco-System, Data Culture, Data Society and Data Citizenship
Lecture 7 Data as Part of an Enterprise Solution Architecture
Lecture 8 Data Management Process Framework
Lecture 9 Data Management Organization
Section 3: Business Benefits, Opportunity Costs and Common Mistakes
Lecture 10 Business Benefits
Lecture 11 Opportunity Costs
Lecture 12 Common Mistakes
Section 4: Self Assessment and Conclusion
Lecture 13 Evolution of Data Management, Self Assessment and Data Journey
Lecture 14 Conclusion and Data Strategy
Section 5: Outroduction
Lecture 15 Outroduction
Senior Managers and Board Members who want to get a better understanding of the strategic impact of data in traditional and digital business models,Business Development Managers and Influencers of Senior Management who need to explain the strategic impact of data and who intend to launch Data Initiatives required to meet Business Objectives,Data Management Professionals who need to explain the strategic impact of data and who intend to launch Data Initiatives required to get Data Management on required Maturity Level,Students and Data Enthusiasts, who intend to understand the Strategic Impact of Data in Business Development and Traditional and Digital Business Models
Screenshot
Homepage
Код:
https://www.udemy.com/course/data-driven-leadership-strategic-impact-of-data/




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Старый 16.11.2024, 08:20   #815
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По умолчанию Datacenter and MDF-IDF Tech 5+ hours course


Free Download Datacenter and MDF/IDF Tech 5+ hours course
Last updated 4/2024
Created by Jeff Diamond
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 31 Lectures ( 5h 20m ) | Size: 3.66 GB

Practical skills in server rooms, MDFs and IDFs, racking, etc.
What you'll learn
Real world tasks and skills performed by data center technicians
Tours of REAL equipment rooms
WAN and DHCP Server configuration
Cyber security via IPSEC
Ether-channel for vastly increasing data throughput
HSRP redundancy
Spanning Tree Protocol functions and administration
Network validation, testing, and troubleshooting.
Requirements
Have Packet-Tracer or GNS3 installed on your device.
Minimal pre-knowledge needed. At least know the basics of what a network is.
Have a desire to learn datacenter networking
Description
What will I learn in this course?This is a massive course over 5 hours wherein you will learn some real-world tasks that data center technicians actually do, in hands-on labs AND learning as I take you into REAL equipment rooms with real running networks and racked devices. These skills also fulfill many of the Network+ exam goals, too. So, if you are planning to take either of those exams, you may find this course extremely valuable.What do I get with this course?Real-world networking skills and a FREE copy of my book On the Command Line with 100 commands and configurations (also on Amazon).What will I need to take this course?A desire to learn and a network simulation app such as Packet Tracer or GNS3, or any other simulated environment you prefer.What does this course contain?CCNA Data Center Technician is a hands-on course where you will learn many real-world common tasks performed by professional data center technicians. ALL subject matter herein also fulfills many of your 200-301 CCNA exam goals. Part 1We will begin by building and configuring our WAN, complete with real-world redundancy via HSRP. We will also learn about the importance of Spanning Tree Protocol and how to administer and monitor its status. These lectures contain information vital to fulfilling many of the 200-301 CCNA and Network+ exam goals.Part 2In part 2 of this course, we configure a DHCP server to operate over a WAN comprised of our SOHO network, cloud network, and a data center. Then we add in cybersecurity measures via Trusted Ports to protect our networks against a man-in-the-middle attack. We add in the ability for our client to log in remotely using SSH, along with other configurations that fulfill 200-301 CCNA and Network+ exam goals. You will also learn new show commands for monitoring and troubleshooting. Technology is for everyoneEveryone of any age and background can learn IT and gain a higher paying career, and I want you to be one of them. Thank you for visiting, and I hope to see you in class.Jeff DiamondCCNA / FOA CPCT, CFOT
Who this course is for
All levels of IT skill, from beginners on up to professionals.
Beginners welcome because we go step-by-step.
Homepage
Код:
https://www.udemy.com/course/ccna-data-center-technician-lets-learn-data-center-tech/
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Старый 16.11.2024, 08:22   #816
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По умолчанию Debt Management - Restructuring Strategies And Case Studies


Free Download Debt Management - Restructuring Strategies And Case Studies
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.50 GB | Duration: 2h 58m
Unlock the secrets of debt restructuring and elevate your financial decision-making with our expert-led course

What you'll learn
Foundational Concepts of Debt Restructuring: A comprehensive introduction to the principles of debt restructuring, including why it is essential for businesses
Objectives and Triggers of Debt Restructuring: Understand the key objectives behind restructuring debt and the scenarios that trigger the need to restructure.
Methods of Debt Restructuring: Explore various methods used to restructure debt, including reduction in margins and management restructuring.
Pros and Cons of Debt Restructuring: Analyze the benefits and drawbacks of restructuring debt from both borrower and lender perspectives.
Steps in the Debt Restructuring Process: A step-by-step breakdown of how debt restructuring works, guiding students through the entire process.
Real-World Case Studies: In-depth analysis of famous debt restructuring case studies, such as Essar Steel, Kingfisher Airlines, and Wockhardt.
Financial Viability Parameters: Learn how to assess financial viability through key metrics like Debt Service Coverage Ratio (DSCR).
Illustrations and Practical Examples: Gain hands-on experience by exploring real-life examples of how lenders evaluate debt restructuring proposals.
Requirements
Fundamentals of Finance: Familiarity with basic financial statements (balance sheet, income statement) and key financial metrics.
Business Management or Accounting Knowledge: Some experience or background in business finance, accounting, or corporate management will provide a better context for debt restructuring concepts.
Interest in Corporate Finance or Debt Management: A keen interest in how businesses manage debt and navigate financial challenges will be beneficial.
Description
Introduction:Welcome to the Debt Restructuring Masterclass, a comprehensive course designed to provide you with deep insights into the critical aspects of debt restructuring. This course explores the methods, steps, pros and cons, and financial parameters involved in restructuring debt. You will also gain valuable knowledge through real-life case studies of companies that underwent significant restructuring. By the end of the course, you will have a firm grasp of the strategies and techniques used to effectively manage and restructure debt.Section 1: IntroductionOur journey begins with an introduction to the fundamental concepts of debt restructuring. In Lecture 1, you'll learn about the purpose of restructuring debt and why it is a crucial tool for both companies and financial institutions. Lecture 2 continues this exploration, providing more in-depth analysis and highlighting key elements that drive debt restructuring decisions.Section 2: OverviewIn this section, we focus on the objectives behind debt restructuring. Lecture 3 delves into the core goals, such as improving liquidity and maintaining business continuity. Lecture 4 examines the triggers that compel organizations to consider restructuring, such as declining profits or regulatory pressures, and how restructuring can restore financial stability.Section 3: Methods of Debt RestructuringHere, we uncover various methods utilized in debt restructuring. Lecture 5 introduces you to common techniques like extending debt maturities or converting debt into equity. Lecture 6 builds on these concepts, while Lecture 7 explores more advanced strategies, including reducing margins and making changes to management, to ensure a successful restructuring process.Section 4: Pros and Cons of Debt RestructuringEvery financial strategy has its advantages and disadvantages, and debt restructuring is no exception. Lecture 8 and Lecture 9 highlight the key pros, such as preventing bankruptcy and improving cash flow. On the other hand, Lecture 10 addresses the cons, such as potential harm to credit ratings and the impact on future borrowing.Section 5: Steps of Debt RestructuringUnderstanding the steps involved in debt restructuring is crucial for effective implementation. Lecture 11 outlines a step-by-step guide to debt restructuring, from assessing financial health to negotiating with lenders. In Lecture 12, we continue discussing the essential steps, including legal considerations and stakeholder management.Section 6: Real-Life Case StudiesThis section brings theory into practice with real-life case studies of companies that have undergone debt restructuring. In Lecture 13, we examine the restructuring of Essar Steel, one of India's largest steel producers. Lecture 14 takes a deep dive into the famous case of Kingfisher Airlines, while Lecture 15 covers Wockhardt, a major pharmaceutical company. These case studies will illustrate the impact of restructuring decisions on corporate survival and recovery.Section 7: Financial Viability ParametersTo assess the success of debt restructuring, financial viability metrics are critical. In Lecture 16, we analyze the Debt Service Coverage Ratio (DSCR), a key measure of a company's ability to repay its obligations. Lecture 17 introduces Return on Capital Employed (ROCE), while Lecture 18 focuses on the Internal Rate of Return (IRR) and Cost of Capital (COC). Lecture 19 and Lecture 20 wrap up with discussions on Break-Even Analysis, Gross Profit Margins, and the Loan Life Coverage Ratio (LLCR), essential for evaluating restructuring outcomes.Section 8: Example of IllustrationsIn this final section, we explore how lenders assess restructuring proposals. Lecture 21 outlines the factors considered by lenders during the restructuring process, such as creditworthiness and future growth prospects. Lecture 22 provides illustrative examples to highlight these factors in action. Lastly, Lecture 23 revisits the Corporate Debt Restructuring (CDR) of Kingfisher Airlines, providing a detailed example of how complex restructuring negotiations unfold.Conclusion:In this course, you have explored the complexities of debt restructuring from the ground up. From understanding the foundational principles and methods to analyzing real-world case studies, you now possess the knowledge and tools to engage in effective debt restructuring strategies. Whether you're a financial professional or a business leader, these insights will help you navigate challenging financial landscapes and ensure better decision-making for long-term success.
Overview
Section 1: Introduction
Lecture 1 Introduction to Debt Restructuring
Lecture 2 Introduction to Debt Restructuring Continues
Section 2: Overview
Lecture 3 Objectives of Debt Restructuring
Lecture 4 Trigged Objectives of Debt Restructuring
Section 3: Methods of Debt Restructuring
Lecture 5 Methods of Debt Restruction
Lecture 6 More on Methods of Debt Restruction
Lecture 7 Reduction in Margins and Restructing of Management
Section 4: Pros and Cons of Debt Restructuring
Lecture 8 Pros of Debt Restructuring
Lecture 9 Pros of Debt Restructuring Continues
Lecture 10 Cons of Debt Restructuring
Section 5: Steps of Debt Restructuring
Lecture 11 Steps of Debt Restructuring
Lecture 12 Steps of Debt Restructuring Continues
Section 6: Real Life case Studies
Lecture 13 Case Study of Essar Steel
Lecture 14 Case Study of Kingfisher Airlines
Lecture 15 Case Study of Wockhard
Section 7: Financial Viability Parameters
Lecture 16 Debt Service Coverage Ratio
Lecture 17 Returned on Capital Employed
Lecture 18 Internal Rate of Returns(IRR) and Cost of Capital (COC)
Lecture 19 Break Even Analysis and Gross Profit Margins
Lecture 20 Loan Life Coverage Ratio
Section 8: Example of Illustrations
Lecture 21 Factors Being Considered by Lender
Lecture 22 Example of Illustrations
Lecture 23 CDR of Kingfisher Airlines
Finance and Accounting Professionals: Individuals working in finance, accounting, or corporate management who want to deepen their understanding of debt restructuring and management strategies.,Business Owners and Entrepreneurs: Those running businesses, particularly in financially distressed situations, will benefit from learning how to manage debt and navigate restructuring options effectively.,Investors and Financial Analysts: People involved in evaluating companies for investment or advisory roles will gain insights into how debt restructuring impacts financial health and corporate performance.,Students and Academics: Finance or business students looking to broaden their knowledge of corporate finance and gain practical skills in debt management and restructuring.,Corporate Advisors and Legal Professionals: Consultants, legal experts, and corporate advisors who deal with business turnarounds, restructuring, and financial viability analysis.
Screenshot
Homepage
Код:
https://www.udemy.com/course/debt-management-restructuring-strategies-and-case-studies/



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Старый 16.11.2024, 08:24   #817
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По умолчанию Deep Learning and Generative AI Data Prep, Analysis, and Visualization with Python


Free Download Deep Learning and Generative AI Data Prep, Analysis, and Visualization with Python
Released 10/2024
With Gwendolyn Stripling
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 56m 27s | Size: 267 MB

Learn the knowledge and practical skills needed to effectively utilize deep learning techniques using the Python programming language.
Course details
If you're looking to keep up with the rapid advancements and applications of deep learning techniques, this course provides a comprehensive guide that can help you stay relevant and competitive in the evolving landscape of AI and data-driven technologies.
Instructor Gwendolyn Stripling shows you how to transform raw data into valuable insights and build the foundation for cutting-edge AI applications. The course focuses on the concepts, with minimal coding required, so even if you're not an experienced coder, Gwendolyn shows you how to use simple Python code to work with data. Test your learning with a series of challenges, and cap off the course with building and evaluating a predictive and generative model.
Homepage
Код:
https://www.linkedin.com/learning/deep-learning-and-generative-ai-data-prep-analysis-and-visualization-with-python









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Старый 16.11.2024, 08:26   #818
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По умолчанию Deep Learning with TensorFlow Insights and Innovations


Free Download Deep Learning with TensorFlow Insights and Innovations
Released 10/2024
With Isil Berkun
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 6m 16s | Size: 508 MB

Explore the evolving world of deep learning with TensorFlow, including the basics of generative AI, with practical, hands-on examples.
Course details
As the AI landscape continuously evolves, understanding the foundational and emerging aspects of deep learning becomes crucial for professionals looking to stay ahead in tech-related fields. This course helps to bridge that gap by offering updated insights on how to leverage the power of TensorFlow applications. Discover the latest features and best practices of TensorFlow with practical applications and real-world examples. Along the way, instructor Isil Berkun introduces you to generative AI concepts to inspire further exploration and learning. By the end of this course, you'll be proficient in implementing deep learning models with TensorFlow.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Diving into Codespaces" chapter to learn how to get started.
Homepage
Код:
https://www.linkedin.com/learning/deep-learning-with-tensorflow-insights-and-innovations









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Rapidgator
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Старый 16.11.2024, 08:28   #819
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По умолчанию Deep Reinforcement Learning made-easy


Free Download Deep Reinforcement Learning made-easy
Published 10/2024
Created by Dr. Muhammad Farhan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 113 Lectures ( 14h 40m ) | Size: 8.62 GB

Reinforcement Learning for beginners to advanced learners
What you'll learn
To understand deep learning and reinforcement learning paradigms
To understand Architectures and optimization methods for deep neural network training
To implement deep learning methods within Tensor Flow and apply them to data
To understand the theoretical foundations and algorithms of reinforcement learning
To apply reinforcement learning algorithms to environments with complex dynamics
Requirements
Basic python programming but not necessary
Description
This course is the integration of deep learning and reinforcement learning. The course will introduce student with deep neural networks (DNN) starting from simple neural networks (NN) to recurrent neural network and long-term short-term memory networks. NN and DNN are the part of reinforcement learning (RL) agent so the students will be explained how to design custom RL environments and use them with RL agents. After the completion of the course the students will be able:To understand deep learning and reinforcement learning paradigmsTo understand Architectures and optimization methods for deep neural network trainingTo implement deep learning methods within Tensor Flow and apply them to data.To understand the theoretical foundations and algorithms of reinforcement learning.To apply reinforcement learning algorithms to environments with complex dynamics.Course Contents:Introduction to Deep Reinforcement LearningArtificial Neural Network (ANN)ANN to Deep Neural Network (DNN)Deep Learning Hyperparameters: RegularizationDeep Learning Hyperparameters: Activation Functions and OptimizationsConvolutional Neural Network (CNN)CNN ArchitectureRecurrent Neural Network (RNN)RNN for Long SequencesLSTM NetworkOverview of Markov Decision ProcessesBellman Equations and Value FunctionsDeep Reinforcement Learning with Q-LearningModel-Free PredictionDeep Reinforcement Learning with Policy GradientsExploration and Exploitation in Reinforcement Learning
Who this course is for
Data Scientists
Machine Learning Engineers
Robotics Programmer
Homepage
Код:
https://www.udemy.com/course/deep-reinforcement-learning-made-easy/
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По умолчанию Defending Against JavaScript Keylogger Attacks on Payment Card Information


Free Download Defending Against JavaScript Keylogger Attacks on Payment Card Information
Updated: Oct 11, 2024
Duration: 1h 3m | Video: .MP4, 1280x720 25fps | Audio: AAC, 48 kHz, 2ch | Size: 333 MB
Genre: eLearning | Language: English
In this course, you'll learn how about the most common attack now used to steal payment card data and the possible defences.

In this course, Defending Against JavaScript Keylogger Attacks on Payment Card Information, John Elliott and Troy Hunt discuss the most common attack used to steal payment card data and how to defend against it. Learn how security people think about a problem, why criminals attack, how their tools and techniques work, and how you have to adapt as defenders. By the end of this course, you'll have a better understanding of the NIST model, how thinking about detection is equally important, and response/recovery.
Homepage
Код:
https://www.pluralsight.com/courses/defending-javascript-keylogger-attacks-pci
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Rapidgator
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Старый 16.11.2024, 08:32   #821
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По умолчанию Deferred Tax Accounting Comprehensive Guide with Examples


Free Download Deferred Tax Accounting Comprehensive Guide with Examples
Published 10/2024
Created by EDUCBA Bridging the Gap
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 2h 46m ) | Size: 980 MB

Master deferred tax accounting with real-world examples and expert guidance to enhance your financial reporting accuracy
What you'll learn
The differences between GAAP and tax accounting.
How to recognize and calculate deferred tax liabilities and assets.
Practical examples of deferred tax in action, covering both profit and loss scenarios.
The concept of valuation allowances and their application.
The treatment of net operating losses and the reversal of deferred tax assets.
The impact of revalued assets on deferred tax accounting.
Requirements
Basic Understanding of Accounting Principles: Students should have a foundational knowledge of accounting, including concepts like profit, loss, and the matching principle.
Familiarity with Financial Statements: Students should be comfortable reading and interpreting financial statements such as balance sheets, income statements, and cash flow statements.
Interest in Tax Accounting: While prior experience in tax accounting is not mandatory, a basic understanding of tax systems and how taxes affect businesses will be beneficial.
Willingness to Work on Practical Examples: The course involves several hands-on examples, so students should be ready to engage with real-world scenarios involving deferred tax calculations.
Description
Deferred tax accounting can be complex, but it is essential for businesses and financial professionals to understand how taxes affect financial statements. This course provides an in-depth exploration of deferred tax liabilities and assets, guiding you through their calculation, recognition, and application using real-world examples. By focusing on the fundamental concepts and providing practical scenarios, students will gain a clear understanding of the deferred tax framework and its importance in accounting.Section 1: IntroductionThe course begins with a brief Introduction that lays the foundation for deferred tax accounting. In Lecture 1, you will get an overview of how deferred tax fits into financial accounting and reporting, highlighting its role in ensuring accurate profit representation. This sets the stage for understanding how taxes differ between financial accounting and tax reporting.Section 2: Calculation of ProfitIn this section, we dive into the calculation of profit and how deferred taxes come into play. Lecture 2 introduces the Calculation of Profit, emphasizing the concept of tax adjustments. Lecture 3 covers the Matching Concept, which ensures that revenues and expenses are recognized in the same period. Lecture 4 explains the key differences between GAAP vs. Tax Accounting, helping you understand how financial and tax accounting differ. In Lecture 5, we explore What Creates Deferred Tax, followed by a detailed breakdown of Deferred Tax Liability in Lecture 6. To solidify these concepts, Lectures 7 and 8 provide a practical example, showing you step-by-step how deferred tax liabilities arise and are calculated.Section 3: Deferred Tax AssetBuilding on the previous section, this part of the course focuses on Deferred Tax Assets. In Lecture 9, we define and explain how deferred tax assets are recognized. The section features multiple real-world examples, starting from Lecture 10 through Lecture 14, where students work through various scenarios that highlight the importance of timing differences and how deferred tax assets can arise from losses or deductible temporary differences.Section 4: Valuation AllowanceValuation allowances are a critical concept in deferred tax accounting, particularly in determining whether a company can utilize its deferred tax assets. Lecture 15 introduces Valuation Allowance, explaining why and how it is applied. Lecture 16 continues with more in-depth analysis. In Lectures 17 and 18, you will learn about the Sources of Taxable Income and how the reversal of deferred tax assets affects financial reporting. Lectures 19 and 20 discuss Net Operating Losses, while Lectures 21 to 25 provide additional examples to reinforce understanding, showing how valuation allowances and operating losses interplay in tax accounting.Section 5: Revalued Assets and ConclusionThe final section wraps up the course by discussing Revalued Assets in Lecture 26. This lecture highlights the implications of revaluing assets for tax purposes and how deferred taxes are adjusted accordingly. Lecture 27 concludes the course with a summary of key concepts and takeaways, reinforcing the importance of deferred tax accounting in maintaining accurate financial records.Conclusion:By the end of this course, students will have a comprehensive understanding of deferred tax accounting, including the calculation of deferred tax liabilities and assets, the application of valuation allowances, and the impact of revalued assets. Through practical examples, you will gain the confidence to apply these principles in real-world scenarios, ensuring that your financial statements reflect accurate tax positions.
Who this course is for
Accounting Students and Graduates: Those looking to deepen their understanding of deferred tax, asset valuation, and tax accounting principles.
Finance Professionals: Accountants, auditors, and financial analysts who want to improve their knowledge of deferred tax calculations and the impact of tax on financial statements.
Business Owners and Entrepreneurs: Individuals running their own businesses who need to understand how tax liabilities and deferred taxes affect their financial health.
Tax Consultants and Advisors: Professionals providing tax advisory services, especially those looking to specialize in deferred tax assets, liabilities, and valuation allowances.
Anyone Interested in Corporate Taxation: Individuals with a general interest in tax accounting and corporate financial structures, even with minimal prior experience.
Homepage
Код:
https://www.udemy.com/course/deferred-tax-accounting-comprehensive-guide-with-examples/
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Rapidgator
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По умолчанию Delivering and Analyzing a Software Pilot GitHub Copilot


Free Download Delivering and Analyzing a Software Pilot GitHub Copilot
Released 10/2024
With Michael Smith
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 2h 45m 44s | Size: 383 MB

Learn how to plan, execute, and evaluate a successful software pilot, using GitHub Copilot as an example, to build a compelling business case for full deployment.
Course details
Running a successful software pilot is essential for introducing new tools into your organization's workflows. In this course, instructor Mike Smith guides you through the process of planning, executing, and evaluating a software pilot that can lead to informed decision-making and a strong business case for full deployment. While using GitHub Copilot as a practical example, the lessons apply to any software pilot. You'll learn how to define objectives, monitor usage metrics, analyze feedback, and present findings to stakeholders. Ideal for decision-makers and tech leads, this course equips you with the skills required to successfully test, implement, and justify new software across your organization.
Homepage
Код:
https://www.linkedin.com/learning/delivering-and-analyzing-a-software-pilot-github-copilot
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Rapidgator
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По умолчанию Deploy Django + AI ML Face Recognition Web App in AWS


Free Download Deploy Django + AI ML Face Recognition Web App in AWS
Last updated 1/2024
Created by G Sudheer,datascience Anywhere,Brightshine Learn
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 104 Lectures ( 8h 14m ) | Size: 3.76 GB

Develop & Deploy Face Recognition, Facial Emotion using OpenCV, Machine Learning, Django, Database in Python in AWS
What you'll learn
Deploy Face Recognition Django Web App in AWS and Heroku Cloud
Train your own Machine Learning based Face Recognition Model in Python
Train own Facial Emotion Recognition using Machine Learning in Python
Develop Django Web App using MVT Framework
Design SQLlite Database in Django
Train Support Vector Machines, Random Forest Model for Face Recognition in Python
Debuging error while Deploying in Heroku
Interphase Machine Learning Models with MVT Framework
Build Ensemble (stacking) Machine Learning Model combining SVM and Random Forest Models in Python
Face Detection with Deep Neural Networks
OpenCV Essentials for Face Recognition
Managing Heroku Cloud
Styling Django Web App with Bootstrap
Requirements
Should be at least beginner to Python
Basic knowledge in Machine Learning
Understanding HTML, Bootstrap
Should know how to install Python Libraries using pip
Description
Welcome to the AI and ML Enthusiast Course: Building a Face Recognition Web App with Django, Machine Learning, and Cloud Deployment on AWS!Embark on an exciting journey into Artificial Intelligence as we delve into the realms of Computer Vision and Face Recognition within the expansive field of AI and ML. This course is designed to guide you through the entire development process of an end-to-end project, catering to both machine learning and web development enthusiasts.Course Phases:Phase 1: Machine Learning - Face Identity RecognitionImage processing techniques with OpenCVPrerequisites of the course: Python installation and library setupFace Detection using OpenCV and Deep Neural NetworksFeature extraction using deep neural networksTraining machine learning models: logistic regression, support vector machines, random forestCombining models with a Voting Classifier (stacking method)Model selection and hyperparameter tuning for face recognitionPhase 2: Machine Learning - Facial Emotion RecognitionApplication of machine learning techniques from face identity recognitionIntegration of detection and recognition models into a pipelinePhase 3: Django Web App DevelopmentWeb application development in DjangoRendering HTML, CSS, and Bootstrap for the frontendBackend development in Python using the MVT (Models, Views, and Templates) frameworkDesigning a SQLite database for the Django appInterfacing machine learning pipeline models with the MVT frameworkStyling the app using BootstrapPhase 4: Deployment / Production on AWS CloudDeployment of the Django Web App on AWS Elastic BeanstalkUtilizing the AWS Free Tier for 12 monthsAccessing the app globally through a provided URL/domainTroubleshooting and error resolution during deploymentCourse Highlights:In-depth learning of OpenCV for image processingTraining models for Face Recognition and Facial Emotion RecognitionDjango web app development with MVT frameworkIntegration of machine learning models into the web appDeployment on AWS Elastic Beanstalk with a focus on the AWS Free TierIf you aspire to be an AI developer, this course is your gateway to mastering AI and ML concepts while gaining hands-on experience. Don't miss out - start your journey now!See you inside the course!
Who this course is for
Anyone who want to learn OpenCV project
Python Developers curious about Artificial Intelligence Projects
Homepage
Код:
https://www.udemy.com/course/complete-face-recognition-app-machine-learning-django-heroku/
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Rapidgator
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Старый 16.11.2024, 08:39   #824
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По умолчанию Deploy WordPress HTTP + Nginx + SSL TLS + Cloudflare CDN


Free Download Deploy WordPress >> HTTP + Nginx + SSL/TLS + Cloudflare CDN
Last updated 5/2024
Created by Adrian Fischer
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 13 Lectures ( 1h 39m ) | Size: 627 MB

Master WordPress Deployment: Harness HTTP Protocol Nginx + SSL/TLS Cloudflare CDN - Optimal Server Infrastructure Setup
What you'll learn
Deploy WordPress
HTTP + Nginx
SSL/TLS
Cloudflare CDN
Requirements
No requirements or prerequisites
Eagerness to Learn: A positive attitude and willingness to explore new concepts and technologies in WordPress deployment.
Optional >> Basic Understanding of WordPress: Familiarity with WordPress CMS and its core functionalities.
Optional >> Fundamental Knowledge of Web Servers: Understanding of web server concepts such as HTTP, HTTPS, and server configurations.
Optional >> Command Line Proficiency: Comfortable using the command line interface (CLI) for executing commands in a Linux environment.
Optional >> Basic Networking Knowledge: Understanding of networking concepts such as IP addresses, DNS, and routing.
Optional >> Familiarity with Docker: Basic knowledge of Docker containers and how they work is beneficial but not mandatory.
Optional >> Access to a Computer: A computer (PC, Mac, or Linux) with internet access is required for accessing course materials and completing hands-on exercises.
Optional >> Virtualization Software: Ability to install and run virtualization software like VirtualBox or VMware Workstation on your computer.
Optional >> Text Editor: Any text editor of your choice (e.g., Visual Studio Code, Sublime Text, Atom) for editing configuration files.
Optional >> Cloudflare Account: Signing up for a Cloudflare account (free or paid) to configure CDN services for your WordPress site.
Description
"Deploy WordPress >> HTTP + Nginx + SSL/TLS + Cloudflare CDN" is an intensive course designed to equip you with the skills needed to master the deployment of high-performance WordPress websites. In this comprehensive program, we delve deep into the intricacies of setting up WordPress on Nginx, utilizing SSL/TLS encryption for enhanced security, and leveraging Cloudflare CDN for optimized content delivery.Throughout the course, you'll embark on a hands-on journey, learning how to deploy WordPress efficiently on Docker within a virtual machine environment. We'll explore the benefits of using Docker containers for WordPress deployment, including scalability, portability, and resource efficiency. You'll gain practical experience in configuring Nginx, Redis, and MySQL within Docker containers to ensure seamless performance and reliability.One of the core focuses of this course is security. You'll learn best practices for securing your WordPress installation using SSL/TLS encryption protocols. We'll guide you through the process of obtaining and installing SSL certificates to enable HTTPS encryption for your WordPress site, enhancing user privacy and trust.Additionally, we'll demonstrate how to configure Cloudflare CDN to optimize the delivery of your WordPress site's static and dynamic content. By strategically caching content at Cloudflare's global edge network, you'll dramatically improve page load times and overall website performance, regardless of user location.But our exploration doesn't stop there. We'll also delve into the nuances of server infrastructure deployment, ensuring that your WordPress site is hosted on a robust and scalable environment. You'll learn how to provision and configure virtual machines to meet the performance demands of your WordPress workload, all while maintaining cost efficiency and scalability.By the end of this course, you'll have the knowledge and expertise to confidently deploy high-performance WordPress websites on virtual machine environments using Docker, Nginx, SSL/TLS encryption, and Cloudflare CDN. Whether you're a seasoned developer looking to optimize your WordPress deployment workflow or a newcomer seeking to learn the fundamentals of WordPress deployment, this course will empower you to take your WordPress projects to new heights of performance, security, and scalability. Join us on this transformative journey and unlock the full potential of WordPress deployment."
Who this course is for
Web Developers: Those who build and maintain WordPress websites professionally.
System Administrators: Professionals responsible for managing server infrastructure.
DevOps Engineers: Individuals involved in the deployment and automation of software systems.
IT Professionals: Those seeking to expand their knowledge of web server technologies and security practices.
WordPress Enthusiasts: Hobbyists or individuals looking to deepen their understanding of WordPress deployment.
Freelancers: Independent contractors aiming to offer comprehensive WordPress deployment services to clients.
Small Business Owners: Entrepreneurs who manage their WordPress websites and wish to optimize performance and security.
Students: Those studying web development, server administration, or related fields who want practical experience with WordPress deployment.
Digital Marketers: Professionals looking to improve website performance and security for better user experience and SEO rankings.
Anyone Interested in WordPress: Individuals curious about WordPress deployment and eager to enhance their skills in this area.
Homepage
Код:
https://www.udemy.com/course/deploy-wordpress-http-nginx-ssltls-cloudflare-cdn/
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По умолчанию Design Thinking For Technology


Free Download Design Thinking For Technology
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.74 GB | Duration: 21h 19m
Master Design Thinking: Boost Creativity, Drive Innovation, and Solve Business Challenges with User-Centered Solutions

What you'll learn
Apply design thinking techniques to solve real-world business challenges
Differentiate between innovation, invention, and creativity
Develop and prototype solutions using user-centered design methods
Utilize critical thinking to improve product development processes
Requirements
There are no specific prerequisites for taking this course. It is designed for beginners and professionals alike. An open mind and a willingness to engage in creative problem-solving are all you need!
Description
Imagine you're in a meeting, and your team is struggling to come up with a solution for a persistent problem. The ideas floating around feel uninspired, and time is running out. You start feeling the pressure to innovate, but every direction seems like a dead end.Now, imagine that you have a secret weapon-a mindset that allows you to approach the problem from a fresh, creative angle. Instead of feeling stuck, you have a framework that not only helps you generate new ideas but also helps you test, refine, and implement those ideas effectively. You confidently guide your team through the process, turning that tricky problem into an opportunity for innovation. The solution you propose not only impresses your colleagues but also improves user experience and drives results for the business.This transformation is possible when you master Design Thinking.In this course, Design Thinking for Creativity and Innovation, you will become that person who leads with confidence, creativity, and empathy. Whether you're a manager seeking to solve complex business problems, an entrepreneur looking to innovate, or simply someone eager to boost your creative thinking skills, this course will provide you with a practical toolkit that you can apply immediately to real-world situations.What You'll Learn:This course offers a deep dive into the design thinking process, which focuses on putting the user at the center of every decision. You will learn how to use design thinking techniques to unlock creative potential, solve challenging problems, and develop innovative solutions that deliver value to both users and organizations. By the end of the course, you'll be able to:Understand the Fundamentals of Design Thinking: We'll start by covering the basics of design thinking, exploring the key principles, frameworks, and mindsets that make this approach so powerful. You'll learn why design thinking is essential for innovation and how it can be applied across industries and sectors.Master the Five Phases of Design Thinking:Empathize: Learn how to deeply understand the needs and pain points of your users by building empathy. You'll explore techniques such as empathy interviews, journey mapping, and observation.Define: Learn how to synthesize your findings and define the core problem you need to solve.Ideate: Unlock your creative potential and generate a range of ideas using brainstorming, mind mapping, and other ideation techniques.Prototype: Discover how to bring your ideas to life by building prototypes that users can interact with.Test: Learn how to test and refine your solutions based on real user feedback.Apply Design Thinking to Real-World Challenges: Throughout the course, you will work through interactive case studies and activities that help you apply what you've learned to real-world problems. You'll gain practical experience designing solutions that are not only innovative but also feasible and user-centered.Leverage Innovation and Creativity: You'll explore the connection between design thinking and innovation, learning how this approach can be used to drive creativity in your organization. From incremental innovations to radical disruptions, you'll discover how to use design thinking to push the boundaries of what's possible.Integrate Design Thinking with Other Key Approaches: In addition to design thinking, this course covers related methodologies like Lean Thinking, Agile, and Human-Centered Innovation. You'll learn how these approaches complement design thinking and how you can integrate them into your own workflows to maximize results.Build Practical Tools for Success: You won't just learn theory in this course-you'll leave with actionable tools and frameworks you can use immediately. From empathy maps and user personas to journey maps and prototypes, you'll develop a toolkit that will help you navigate complex challenges and build solutions that work.Who This Course is For:This course is designed for anyone who wants to drive innovation and solve problems creatively. Whether you're a business leader, product manager, entrepreneur, designer, or simply someone interested in enhancing your creative thinking skills, this course will empower you to create impactful solutions. No prior experience with design thinking is required-just a willingness to learn and a desire to think outside the box.Why Take This Course?In today's rapidly evolving world, the ability to think creatively and innovate is crucial for staying ahead. Companies are increasingly relying on design thinking to solve problems and enhance user experience. By mastering these skills, you will not only boost your career prospects but also become a more valuable contributor to your team or organization. Whether you're tackling product development, improving business processes, or solving customer experience challenges, design thinking can help you deliver more effective, user-centered solutions.This is your opportunity to become a hero in your organization-a leader who drives innovation, solves complex challenges, and inspires others to think creatively. Take the first step in mastering design thinking and unlock your potential for creativity and innovation!
Overview
Section 1: Introduction to Design Thinking Foundations
Lecture 1 Regenesys Integrated Leadership and Management Model
Lecture 2 Regenesys Graduate Attributes
Lecture 3 Get Know Your Facilitator and Course Outline
Section 2: Creative Thinking
Lecture 4 Adding Sticky Notes to a Google Jamboard
Lecture 5 Identifying Alternative Uses of A Coffee Mug By Creative Thinking
Lecture 6 Components of Creativity: Fluency
Lecture 7 Components of Creativity: Flexibility
Lecture 8 Components of Creative Thinking: Elaborate and Uniqueness
Section 3: Creative Thinking vs Critical Thinking
Lecture 9 Difference Between Creative Thinking and Critical Thinking
Lecture 10 Why is Critical and Creative Thinking Important
Lecture 11 How Design Thinking is Used to Solve Problems
Section 4: Human Needs: Gen Z
Lecture 12 Key Considerations for Designing a Pen and Crafting an Effective Sales Pitch
Lecture 13 Understanding Maslow's Hierarchy of Needs
Section 5: Understanding Design Thinking with Examples
Lecture 14 Understanding Design Thinking with Designing A Better MRI Machine
Lecture 15 GE MRI Machine Experience Enriched by Design Thinking
Lecture 16 Design Thinking Features
Lecture 17 What is Design Thinking?
Lecture 18 Why Do We Need Design Thinking?
Section 6: Introduction to Innovation and Design Thinking
Lecture 19 Course Learning Outcomes
Lecture 20 What is Innovation?
Lecture 21 Difference Between Innovation and Invention
Lecture 22 Examples of Innovation
Lecture 23 Differences Between Idea, Invention and Innovation
Section 7: Innovation Framework
Lecture 24 What is Innovation Framework and Why Your Organization Needs It
Lecture 25 Types Of Innovation Framework: Configuration
Lecture 26 Types Of Innovation Framework: Offering and Experience
Lecture 27 How to Apply Types of Innovation Framework
Section 8: Models of Innovation
Lecture 28 What is An Innovation Model?
Lecture 29 Inventor Model, Problem Solver Model and Refiner Model Explained
Lecture 30 Conqueror Model, Protector Model and Trend Follower Model Explained
Lecture 31 Queries Regarding Models of Innovation
Section 9: Innovation Process
Lecture 32 Steps of An Innovation Process
Lecture 33 Diffusion of Innovation Theory
Lecture 34 The 5 Stages of Technology Adoption
Lecture 35 Example of Diffusion of Innovation Theory
Section 10: Defining Design Thinking
Lecture 36 Defining Innovation in The Context of Design Thinking
Lecture 37 Understanding The Relationship Between Design Thinking and Innovation
Lecture 38 Leveraging Design Thinking to Drive Innovation In Organisations
Lecture 39 Activity on Design Thinking
Section 11: Types of Innovation
Lecture 40 Quick Overview On Types of Innovation
Lecture 41 Incremental Innovation and Design Thinking Explained
Lecture 42 Benefits of Incremental Design Thinking
Lecture 43 Known Examples of Incremental Innovation
Lecture 44 Radical Innovation and Design Thinking Explained
Lecture 45 Why Radical Innovation is Always Backwards
Lecture 46 Known Examples of Radical Innovation
Lecture 47 Disruptive Innovation and Design Thinking Explained
Lecture 48 Can Design Thinking Lead to Disruptive Innovations?
Lecture 49 Sustaining Innovation and Design Thinking Explained
Lecture 50 Using Design Thinking to Solve Business Challenges
Lecture 51 Open Innovation and Design Thinking Explained
Lecture 52 Human-Centered Innovation Explained
Lecture 53 The Power of Combining Research and Design
Lecture 54 Activity - Match the Following
Lecture 55 Understanding Design Thinking By Animation
Section 12: Design Thinking Mindset
Lecture 56 Design Thinking Mindset Explained
Lecture 57 Focusing on Human Values
Lecture 58 What is Radical Collaboration?
Lecture 59 How Radical Collaboration is Used in Big Institutions
Section 13: Bias for Action - How to Master this Leadership Principle
Lecture 60 What Is Bias for Action?
Lecture 61 Fall Often and Early (Experiment and Prototype)
Lecture 62 Which Bottle Fills Up First? - Activity
Section 14: Building Prototypes
Lecture 63 Building Prototypes That Can Be Experienced
Lecture 64 Arguing About What vs Figuring Out How
Lecture 65 Craft Clarity and Mindfulness of The Process
Lecture 66 How to Apply Design Thinking Mindsets
Lecture 67 Real World Examples and Conclusion of Design Thinking Mindsets
Section 15: Lean Thinking
Lecture 68 What You Will Learn
Lecture 69 Understanding Lean Thinking
Lecture 70 8 Types of Waste in Lean
Lecture 71 Lean Thinking Case Study
Lecture 72 Principles of Lean Thinking
Section 16: Value Stream
Lecture 73 What is A Value Stream Map?
Lecture 74 Amazon's Value Proposition
Lecture 75 The Value Proposition Canvas Explained
Section 17: Agile Thinking
Lecture 76 Designing Lean Agile
Lecture 77 What is Agile Thinking
Lecture 78 Agile Values and Principles
Lecture 79 Links Between All
Section 18: Stakeholder Management
Lecture 80 Stakeholder Management Explained
Lecture 81 Creating a Stakeholder Map
Section 19: Design Thinking for Creative Problem Solving
Lecture 82 Know Your Facilitator and What You Will Learn
Lecture 83 Activity- Designing a Desirable Coffee Mug For Yourself or Someone You Care For
Lecture 84 How to Use Design Thinking for Creative Problem Solving
Lecture 85 What is User Experience in Design Thinking
Section 20: Design Challenges
Lecture 86 Design Challenges That Needs to Be Solved
Lecture 87 Solving Design Challenges in Jamboard
Section 21: Design Thinking Processes
Lecture 88 Things to Be Considered Before Diving Into Design Thinking Process
Lecture 89 Design Thinking Framework
Lecture 90 Design Thinking Process, Methods and Tools
Section 22: Empathize
Lecture 91 What is Empathy?
Lecture 92 Why Empathize With User?
Lecture 93 How to Organize To-Do List in Whatsapp
Section 23: How to Empathize
Lecture 94 Overview on How to Empathize
Lecture 95 Empathy Building: Observe - Shadowing
Lecture 96 How to Conduct Empathy Interviews
Lecture 97 Empathy Immersion Technique Explained
Section 24: Define-State Users' Needs and Problems
Lecture 98 Recap on Empathize
Lecture 99 How Define Stage Works in Design Thinking
Lecture 100 Creating A User Persona
Lecture 101 Empathy Map - Why and How to Use It
Lecture 102 User Journey Maps
Lecture 103 Customer Journey Maps: Everything You Need To Know
Section 25: Activity on Making Work Mornings More Convenient For Working Professionals
Lecture 104 How to Complete the Activity
Lecture 105 Queries Regarding Doing The Activity
Lecture 106 Doing the Activity Through Journey Mapping
Lecture 107 Using Empathy Mapping and User Persona to Do the Activity
Lecture 108 Using Jamboard to Do The Activity
Lecture 109 Recording All The Pain Points Using Jamboard
Lecture 110 Breaking Down Pain Points: Root Cause Analysis
Section 26: Ideation
Lecture 111 Stanford Design School Design Thinking Process
Lecture 112 What You Have Learnt
Lecture 113 What Is The Ideation Process?
Lecture 114 Why is Ideation Important?
Lecture 115 Tools and Techniques for Ideation
Section 27: Idea Challenge
Lecture 116 What is Idea Challenge?
Lecture 117 Parameters For Idea Challenge
Lecture 118 Direct Brainstorming Explained
Lecture 119 How to Brainstorm with Mind Maps
Lecture 120 Other Types of Brainstorming
Lecture 121 SCAMPER Model for Creative Ideation
Section 28: Evaluation and Selection
Lecture 122 Idea Generation and Idea Evaluation
Lecture 123 Impact-Effort Matrix for Idea Evaluation
Lecture 124 Stage Gate Process: How to Prevent Project Risk
Lecture 125 Discovery and Delivery vs. Stage Gates
Lecture 126 How to Refine and Develop Ideas
Lecture 127 Key Challenges for Ideation
Section 29: Understanding Prototype and Test
Lecture 128 Idea to Prototype Journey Cycle
Lecture 129 Creating an Affinity Map
Lecture 130 Design Thinking Creative Problem Solving
Section 30: Prototyping
Lecture 131 What is Prototyping?
Lecture 132 Why We Need Prototype
Lecture 133 How to Create a Prototype
Lecture 134 Types of Prototyping
Lecture 135 Types of Low-Fidelity and High-Fidelity Prototypes Explained
Lecture 136 How to Prototype a Product
Section 31: Stages in Design Thinking
Lecture 137 Benefits of Prototype
Lecture 138 Stages in Prototype
Lecture 139 Testing Phase of Design Thinking Explained
Lecture 140 Benefits of Testing
Lecture 141 Prototype Testing Summary Explained
Lecture 142 Prototyping & Testing Physical Products
Section 32: Establishing Design Thinking in Organisations
Lecture 143 Concept about Ideas and Implementation
Lecture 144 Desirability, Feasibility and Viability Considerations
Section 33: Osterwalder's Business Model Canvas
Lecture 145 Customer Segments Explained
Lecture 146 Customer Relationships in the Business Model Canvas
Lecture 147 Key Partners, Activities and Resources of The Business Model Canvas
Lecture 148 Cost Structure and Revenue Streams in The Business Model Canvas
Lecture 149 Google Business Model Canvas Explained
Section 34: Activity on Creating Business Model
Lecture 150 Instructions on How to Do The Activity
Lecture 151 Creating Business Model For Flexible Ruler/Sleepy Heads Day Care
Lecture 152 Creating Business Model For Day Care
Section 35: Implementation Planning
Lecture 153 What is Implementation Planning?
Lecture 154 Resource Assessment
Lecture 155 Establishing Design Thinking
Lecture 156 Organizational Structure Explained
Lecture 157 Scaling Through Design Thinking
Section 36: Design Thinking as a Strategy for Digital Transformation
Lecture 158 How Design Thinking Can Boost Digital Transformation
Lecture 159 How to Utilize Design Thinking Process for Our Benefits
Lecture 160 What is Digital Transformation?
Lecture 161 The 5 Phases of Digital Transformation
Section 37: Shifts in Strategic Assumptions
Lecture 162 Customers: Harness Customer Networks
Lecture 163 Competition and Data Explained
Lecture 164 Innovation and Value Explained
Lecture 165 Why Kodak Willingly Ignored the Future of Photography
Section 38: Design Thinking Drives Digital Transformation
Lecture 166 Why Design Thinking Drives Digital Transformation
Lecture 167 Logic Behind Design Thinking and Digital Transformation
Section 39: Design Thinking in Digital Transformation
Lecture 168 How Design Thinking and Digital Transformation Complement Each Other
Lecture 169 Digital Transformation Processes Explained
Lecture 170 How A Song Could Impact into A Business
Lecture 171 Design Thinking in Action for Digital Transformation
Section 40: Digital Transformation Strategy
Lecture 172 Digital Transformation Capability Assessment Matrix
Lecture 173 Activity on Gathering Ideas That We Can Apply To Make Sleepyhead Daycare
Lecture 174 Plan of Building an App for Sleepyhead
This course is ideal for aspiring innovators, business leaders, managers, product designers, and anyone interested in learning how to use design thinking to drive creative solutions. Whether you're a beginner seeking to understand design thinking or a professional looking to enhance your innovation skills, this course will equip you with practical tools to solve complex problems and create user-centered products. It's also perfect for entrepreneurs, product managers, and digital transformation leaders aiming to stay competitive in today's fast-changing environment.
Screenshot
Homepage
Код:
https://www.udemy.com/course/design-thinking-for-technology/



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