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Free Download Project Schedule Management: Tools| Techniques| Practices
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.95 GB | Duration: 8h 39m
Master the art of project scheduling and time management to deliver projects on time, every time!

What you'll learn
Core concepts and processes of project schedule management.
How to define, sequence, and organize project activities.
Techniques for estimating activity resources and durations.
Tools for developing and optimizing project schedules, including the Critical Path and Critical Chain methods.
Methods for compressing schedules and managing project timelines.
Best practices for monitoring, controlling, and updating project schedules.
How to use Gantt charts, bar charts, and schedule diagrams for effective project control.
Requirements
Basic understanding of project management principles. Familiarity with project management tools (e.g., Microsoft Project, Primavera) is helpful but not required. No prior experience in schedule management is necessary.
Description
Managing project schedules effectively is one of the most critical aspects of successful project management. This comprehensive course, Mastering Project Schedule Management, is designed to provide you with a deep understanding of the processes, tools, and techniques essential for planning, developing, and controlling project schedules. Whether you're a project manager, team lead, or aspiring project professional, this course will equip you with the knowledge to optimize your project timelines, enhance resource allocation, and ensure timely project delivery.Section 1: Introduction to Project Schedule ManagementWe begin with an overview of project schedule management, emphasizing the importance of planning and managing schedules effectively. You'll learn about the core concepts and processes involved in schedule management, setting the foundation for the rest of the course. The section also covers the initial steps of planning schedule management, including its outputs and tools, to ensure a structured approach to scheduling.Section 2: Defining and Sequencing ActivitiesThis section focuses on the key steps of defining and sequencing project activities. You'll learn how to break down project work into manageable tasks and organize them in a logical sequence. Topics include activity definition, sequence activities, and the Precedence Diagramming Method (PDM). We'll also explore tools like dependency determination, leads and lags, and the creation of project schedule network diagrams.Section 3: Estimating Resources and Activity DurationEffective time management requires accurate estimation of resources and activity durations. This section covers various estimation techniques, such as Analog Estimating, Three-Point Estimating, and Reserve Analysis. You'll also learn about resource optimization techniques and how to apply them to create realistic schedules that align with project goals.Section 4: Developing the Project ScheduleHere, we dive deep into the development of a detailed project schedule. You'll gain hands-on experience with tools and techniques like the Critical Path Method (CPM) and Critical Chain Method (CCM), which are vital for optimizing project timelines. We'll explore how to determine float, calculate early and late start/finish times, and utilize schedule compression techniques like crashing to meet project deadlines.Section 5: Controlling the Project ScheduleThe final section focuses on monitoring and controlling project schedules to keep your projects on track. You'll learn how to use schedule control tools, including Gantt charts, bar charts, and project schedule network diagrams. This section also covers methods to manage schedule changes, ensuring your projects remain aligned with organizational goals and stakeholder expectations.Conclusion:By the end of this course, you will have gained a comprehensive understanding of project schedule management. You'll be equipped with the skills to plan, develop, and control project schedules effectively, ensuring your projects are completed on time and within scope. This course provides you with practical insights and techniques to enhance your project management capabilities, making you a valuable asset to any organization.
Overview
Section 1: Introduction to Project Schedule Management
Lecture 1 Introduction
Lecture 2 Plan Schedule Management
Lecture 3 Plan Schedule Management - Output
Lecture 4 Plan Schedule Management - Tools and Techniques
Lecture 5 Plan Schedule Management - Output
Section 2: Defining and Sequencing Activities
Lecture 6 Define Activities
Lecture 7 Define Activities - Tools and Techniques
Lecture 8 Project Time Management Part 8
Lecture 9 Define Activities - Outputs
Lecture 10 Sequence Activities
Lecture 11 Sequence Activities - Inputs
Lecture 12 Sequence Activities - Tools and Techniques
Lecture 13 Tools and Techniques - PDM Method
Lecture 14 Tools and Techniques - PDM Method Continues
Lecture 15 Tools and Techniques- Dependency Determination
Lecture 16 Tools and Techniques- Leads and Lags
Lecture 17 Sequence Activities - Outputs - Project Schedule Diagram Networks
Lecture 18 Sequence Activities - Outputs
Section 3: Estimating Resources and Activity Duration
Lecture 19 Estimate Activity Resources
Lecture 20 Estimate Activity Resources - Process Charts
Lecture 21 Estimate Activity Resources - Inputs
Lecture 22 Estimate Activity Resources - Tools and Techniques
Lecture 23 Estimate Activity Resources - Tools and Techniques, Outputs
Lecture 24 Estimate Activity Duration
Lecture 25 Estimate Activity Duration - Process Chart
Lecture 26 Estimate Activity Duration - Inputs
Lecture 27 Estimate Activity Duration - Tools and Techniques
Lecture 28 Tools and Techniques - Analog Estimating
Lecture 29 Tools and Techniques - Three Point Estimating
Lecture 30 Tools and Techniques - Three Point Estimating Continues
Lecture 31 Tools and Techniques - Reserve Analysis, Outputs
Section 4: Developing the Project Schedule
Lecture 32 Develop Schedule
Lecture 33 Develop Schedule - Process Chart
Lecture 34 Develop Schedule - Inputs
Lecture 35 Inputs - Activity Resource Requirements
Lecture 36 Inputs - Project Staff Assignment, RBS
Lecture 37 Develop Schedule - Tools and Techniques
Lecture 38 Tools and Techniques - Critical Path Method
Lecture 39 Critical Path Method Continues
Lecture 40 Critical Path Method - Critical Path Analysis
Lecture 41 Critical Path Method - Float Determination
Lecture 42 Float Determination Continues
Lecture 43 Critical Path Method - Early Start and Early Finish
Lecture 44 Critical Path Method - Late Start and Late Finish
Lecture 45 Late Start and Late Finish Continues
Lecture 46 Late Start Late Finish Calculations
Lecture 47 Critical Path Method - AOA
Lecture 48 Critical Chain Method
Lecture 49 How Critical Chain Method works
Lecture 50 Tools and Techniques - Resource Optimization Techniques
Lecture 51 Leads and Lags, Schedule Compression
Lecture 52 Crashing
Lecture 53 Crashing Example
Lecture 54 Revisiting the Develop Schedule Process Chart
Lecture 55 Develop Schedule - Outputs
Lecture 56 Outputs - Bar Charts, Gantt Charts
Lecture 57 Outputs - Project Schedule Network Diagrams
Section 5: Controlling the Project Schedule
Lecture 58 Control Schedule
Lecture 59 Control Schedule - Inputs, Tools and Techniques
Lecture 60 Control Schedule - Tools and Techniques, Outputs
Project Managers seeking to enhance their scheduling skills and deliver projects on time.,Team Leads and Supervisors looking to improve resource allocation and time management.,Aspiring Project Managers aiming to develop a strong foundation in schedule management.,PMO Professionals interested in mastering the tools and techniques for effective project scheduling.,Anyone involved in project planning, execution, or control who wants to optimize project timelines and ensure successful project outcomes.
Homepage

https://www.udemy.com/course/project-schedule-management-tools-techniques-practices/

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Free Download Project Scheduling - Best Practices And Ms Project Expertise
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 506.12 MB | Duration: 1h 52m
Unlock the secrets to creating efficient and effective project schedules with expert techniques and best practices.

What you'll learn
Understand the fundamentals of project scheduling and the significance of a well-structured schedule.
Develop a comprehensive schedule using Microsoft Project, applying auto-scheduling features to save time.
Design an effective project coding structure and manage dependencies and relationships between tasks.
Optimize resource management by defining resources, tracking progress, and generating reports.
Implement best practices for maintaining and refining schedules throughout the project lifecycle.
Requirements
Basic Knowledge of Project Management: A foundational understanding of project management concepts such as project phases, tasks, and milestones will be helpful. While not mandatory, familiarity with basic project management terminology will enhance the learning experience.
Familiarity with Microsoft Project: While no advanced proficiency is required, students should have access to and a basic working knowledge of Microsoft Project, as the course heavily relies on this tool for scheduling and resource management tasks. Basic navigation and understanding of project templates in Microsoft Project will be useful.
Description
Project scheduling is the backbone of successful project management. This course provides comprehensive insights into creating, maintaining, and optimizing project schedules. Whether you're an aspiring project manager or a seasoned professional, mastering the art of scheduling with industry-standard tools like Microsoft Project will set you apart. With a blend of theory and practical application, this course will guide you through each step of the scheduling process, from understanding the core concepts to implementing advanced scheduling techniques.Section 1: IntroductionIn this section, you'll be introduced to the core concepts of project scheduling. The first lecture sets the stage by defining the significance of scheduling within project management. Understanding how a well-planned schedule impacts the success of a project is essential, as it helps manage time, resources, and costs effectively. This section provides the foundational knowledge needed to build a robust scheduling framework.Section 2: Overview of Schedule ModelThis section delves deeper into the schedule model and the Work Breakdown Structure (WBS), critical components in creating a project schedule. The second lecture covers the importance of these elements and their role in organizing project tasks. The third lecture emphasizes the significance of activities within the schedule plan and how breaking down tasks to their core elements contributes to a more organized and realistic timeline. Understanding the schedule model's framework is key to creating effective and executable project plans.Section 3: Schedule Development Process OverviewIn this section, we explore the schedule development process. From initiating the schedule to refining it throughout the project's lifecycle, this section equips you with the tools to ensure your project stays on track. The fourth lecture introduces the fundamental processes involved in schedule development, while the fifth lecture builds on these ideas, offering a deeper look at continuous refinement and management. The sixth lecture emphasizes the importance of maintaining the project schedule, ensuring it stays updated with changes in project scope and timelines.Section 4: Schedule Model Good Practices-PartThis section covers best practices for designing and optimizing your project schedule. Lecture 7 offers strategies for designing a schedule module that ensures clarity and efficiency, while Lecture 8 teaches you how to develop a flexible and scalable scheduling framework. Lecture 9 focuses on the crucial aspect of designing an effective coding structure, which is essential for managing complex schedules. In Lecture 10, you will learn how to design logical project flows that consider dependencies, while Lecture 11 teaches you how to analyze and interpret your schedule outputs for optimization and adjustment.Section 5: Best Industry Practices for Schedule CreationIn the final section, you will explore industry-leading practices for creating and managing schedules using Microsoft Project. Lecture 12 guides you through creating a Microsoft Project plan from scratch, followed by Lecture 13, which introduces auto-scheduling to save time and ensure accuracy. Lecture 14 focuses on defining the project resource, a critical step in effective scheduling, and Lecture 15 covers resource definition and report generation, providing you with the tools needed for efficient resource management and scheduling analysis.Conclusion:By the end of this course, you will have acquired the essential skills to design, develop, and maintain a project schedule with confidence. You will learn industry best practices, gain hands-on experience with Microsoft Project, and understand how to manage resources and tasks efficiently to ensure project success. Whether you're handling small-scale projects or large, complex ones, the techniques and insights shared in this course will equip you with the tools to create schedules that drive project success and meet deadlines.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Overview of Schedule Model
Lecture 2 Overview of Schedule Model and WBS
Lecture 3 Importance of Activity in Schedule Plan
Section 3: Schedule Development Process Overview
Lecture 4 Schedule Development Process Overview
Lecture 5 Schedule Development Process continues
Lecture 6 Project Schedule and Maintenance
Section 4: Schedule Model Good Practices-Part
Lecture 7 Designing the schedule module
Lecture 8 Developing the Scheduling framework
Lecture 9 Designing an effective coding structure
Lecture 10 Design the project logic
Lecture 11 Analyzing the schedule output
Section 5: Best Industry Practices for Schedule Creation
Lecture 12 Creating Microsoft project plan
Lecture 13 Auto scheduling
Lecture 14 Defining the project resource
Lecture 15 Resource definition and reports
Project Managers: Individuals who are responsible for planning, scheduling, and managing projects. The course will enhance their ability to create effective project schedules and manage resources using best practices.,Aspiring Project Managers: Anyone looking to develop skills in project scheduling and management. This course provides foundational knowledge that will help aspiring project managers build a career in this field.,Team Leads and Coordinators: Professionals who work closely with project managers and are involved in task management, resource allocation, or project planning will benefit from this course to better understand scheduling processes.,Business Analysts: Analysts involved in project planning, timeline estimation, and resource allocation will gain valuable insights on how to structure and optimize project schedules.,Operations Managers: Operations professionals who need to develop and oversee project schedules and ensure timely delivery of tasks in large-scale projects.
Homepage

https://www.udemy.com/course/project-scheduling-best-practices-and-ms-project-expertise/

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Free Download Project Scope Management From Planning To Control
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.27 GB | Duration: 4h 53m
Unlock the secrets to defining, managing, and controlling your project scope for successful project delivery!

What you'll learn
The fundamentals of project scope management and its role in project success.
How to develop a comprehensive Scope Management Plan.
Techniques for gathering and documenting project requirements.
Steps to define project scope and create a Work Breakdown Structure (WBS).
Methods for validating and controlling project scope to avoid scope creep.
Practical tools like process charts, affinity diagrams, and context diagrams.
Best practices for managing scope changes and ensuring project alignment.
Requirements
Basic knowledge of project management principles. Familiarity with project management methodologies (e.g., PMP, PRINCE2) is helpful but not required. No prior experience in scope management is necessary.
Description
Understanding and managing project scope is critical to ensuring your projects are completed on time, within budget, and meet stakeholder expectations. This course, Mastering Project Scope Management, delves into the essential processes, tools, and techniques required to manage project scope effectively. Designed for project managers, team leads, and project professionals, this course will guide you through every step of scope management, from planning and defining to controlling scope changes.Section 1: Introduction to Project Scope ManagementWe begin with an overview of project scope management and its importance in the project lifecycle. You'll explore the key processes involved, such as scope planning, defining, and control. This section sets the stage by introducing you to the foundational concepts and terminologies in scope management, ensuring a solid start to your learning journey.Section 2: Planning Scope ManagementIn this section, you'll dive into the planning aspect of scope management. You'll learn how to create a comprehensive Scope Management Plan, detailing the inputs, tools, and techniques used in planning. We'll cover key outputs of this process, including the scope statement and project documents, which serve as the baseline for all future scope-related decisions.Section 3: Collecting RequirementsEffective project scope management begins with understanding stakeholder needs. This section focuses on the process of collecting requirements, highlighting various tools and techniques like interviews, focus groups, and group creativity techniques. You'll learn how to transform stakeholder inputs into actionable project requirements using affinity diagrams, context diagrams, and value analysis.Section 4: Defining Scope and Creating the Work Breakdown Structure (WBS)Here, we explore the critical process of defining project scope, turning requirements into a clear project scope statement. You'll learn to develop a detailed Work Breakdown Structure (WBS), breaking down the project into manageable components. We'll discuss process charts, tools, techniques, and outputs that ensure a well-defined scope aligned with project objectives.Section 5: Validating and Controlling ScopeIn the final section, we focus on scope validation and control. You'll learn how to verify project deliverables against the scope to ensure they meet stakeholder expectations. This section also covers tools and techniques for managing scope changes, preventing scope creep, and maintaining project alignment. We'll guide you through process charts and outputs to keep your project on track.Conclusion:By the end of this course, you'll have a comprehensive understanding of project scope management, enabling you to plan, define, validate, and control project scope with confidence. You'll be equipped with practical tools and techniques to minimize scope-related risks and ensure project success. This course empowers you to master scope management, enhancing your project management skills and boosting your career.
Overview
Section 1: Introduction to Project Scope Management
Lecture 1 Introduction
Lecture 2 Project Scope Management Processes
Section 2: Planning Scope Management
Lecture 3 Plan Scope Management - Inputs
Lecture 4 Plan Scope Management - Tools and Techniques
Lecture 5 Plan Scope Management - Outputs
Lecture 6 Plan Scope Management - Outputs Continues
Section 3: Collecting Requirements
Lecture 7 Collect Requirements
Lecture 8 Collect Requirements Continues
Lecture 9 Collect Requirements - Inputs
Lecture 10 Collect Requirements - Inputs Continues
Lecture 11 T&T - Interviews
Lecture 12 T&T - Focus Group
Lecture 13 T&T - Group Creativity Techniques
Lecture 14 T&T - Group Creativity Techniques Continues
Lecture 15 Affinity Diagram
Lecture 16 Collect Requirements - Tools and Techniques
Lecture 17 Value Analysis
Lecture 18 Context Diagram, Document Analysis
Section 4: Defining Scope and Creating the Work Breakdown Structure (WBS)
Lecture 19 Define Scope Part 1
Lecture 20 Define Scope Part 2
Lecture 21 Define Scope - Process Charts
Lecture 22 Define Scope - Inputs
Lecture 23 Define Scope - Tools and Techniques
Lecture 24 Define Scope - Outputs
Lecture 25 Create WBS Part 1
Lecture 26 Create WBS Part 2
Lecture 27 Create WBS - Process Charts
Lecture 28 Create WBS - Tools and Techniques
Section 5: Validating and Controlling Scope
Lecture 29 Validate Scope
Lecture 30 Validate Scope - Process Charts
Lecture 31 Validate Scope - Inputs
Lecture 32 Validate Scope - Outputs
Lecture 33 Control Scope - Process Chart
Lecture 34 Control Scope - T&T, Outputs
Project Managers looking to enhance their scope management skills.,Team Leads and Supervisors responsible for defining and managing project deliverables.,Aspiring Project Managers who want to build a strong foundation in scope management.,Business Analysts involved in gathering and defining project requirements.,PMO Professionals seeking to improve their project governance processes.,Anyone interested in learning how to manage project scope effectively to deliver successful projects.
Homepage

https://www.udemy.com/course/project-scope-management-from-planning-to-control/

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Free Download Prompt Engineering for Beginners - A Step-by-Step Guide!
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 32m | Size: 527 MB
Drive AI Success: Learn Prompt Crafting for Real Results

What you'll learn
Understanding AI Models: Gain a foundational understanding of different types of AI models, including how they process and respond to prompts.
Fundamentals of Prompt Crafting: Learn the basics of creating effective prompts that communicate clearly with AI, ensuring responses are accurate and relevant.
Advanced Prompting Techniques: Master tokenization, parsing, sentiment analysis, and chained prompts.
Enhancing Creativity with AI: Leverage AI to generate and expand creative content.
Boosting Productivity through AI: Use prompt engineering to automate tasks and enhance decision-making.
Ethics and Best Practices in Prompt Engineering: Explore ethical considerations and learn to manage AI biases.
Ongoing Learning and Innovation: Stay informed about the latest AI developments and innovative practices.
Requirements
Basic Understanding of AI and Machine Learning: Familiarity with general concepts in artificial intelligence and machine learning helps, although in-depth technical knowledge isn't required.
Computer Literacy: Comfort with using computers and navigating online platforms, as the course may involve interactive elements and online tools.
Interest in Technology and AI: A keen interest in learning how AI works and how to interact with AI systems is crucial for engagement and success in the course.
English Proficiency: Since the course material and instructions will be provided in English, proficiency in reading and understanding English is necessary.
No specific technical skills in programming or advanced mathematics are required, making this course accessible to individuals who are new to the field of AI and prompt engineering. This setup encourages a broad range of participants, from digital marketers and content creators to educators and enthusiasts, to develop skills that are increasingly important in various professional and creative fields.
Description
Unlock the potential of artificial intelligence in your career with "Prompt Engineering for Beginners: A Step-by-Step Guide." This comprehensive course is designed for individuals eager to master the art of communicating effectively with AI systems, enhancing both personal and professional projects.Whether you're a digital marketer aiming to optimize content creation, a developer seeking to refine AI interactions, or a curious enthusiast looking to harness AI's full potential, this course provides the tools you need. With over 30 minutes of high-definition video content spread across meticulously crafted lectures, you will learn the foundational principles of prompt engineering, essential for directing AI behavior and outputs.From understanding the basics of how AI interprets human input to applying advanced techniques like tokenization and sentiment analysis, each module is packed with practical examples and real-world applications. You'll not only master the art of creating clear, effective prompts but also explore how these skills can automate tasks, boost productivity, and spark creativity.By the end of this course, you will be equipped toevelop clear and effective prompts that guide AI to desired outcomes.Apply advanced prompting techniques in various professional contexts.Troubleshoot and refine AI interactions to enhance their effectiveness.Enroll in "Prompt Engineering for Beginners" today to start your journey toward becoming an adept prompt engineer, capable of leveraging AI to its fullest potential in any field.
Who this course is for
The course "Prompt Engineering for Beginners: A Step-by-Step Guide" is designed for a diverse audience, making it suitable for individuals with various backgrounds and interests related to AI and technology. Here are the key target groups for this course
Beginners in AI and Machine Learning: Individuals new to artificial intelligence who want to understand how to interact effectively with AI systems.
Digital Marketers and Content Creators: Professionals looking to leverage AI for creating more engaging content and personalized marketing strategies.
Product Managers and Entrepreneurs: Those involved in product development or running a business who seek to utilize AI for enhancing product features or improving customer interactions.
Educators and Trainers: Teachers and corporate trainers interested in incorporating AI tools into their teaching methods or training modules.
Tech Enthusiasts and Hobbyists: Individuals fascinated by AI and eager to explore new technologies for personal projects or hobbies.
Developers and Engineers: Technically inclined professionals aiming to enhance their skills in AI interactions without needing deep expertise in machine learning algorithms.
Career Changers: People looking to transition into tech-focused roles and needing foundational knowledge and practical skills in AI and prompt engineering.
This course is ideal for anyone interested in understanding and applying AI through the lens of prompt engineering to improve outputs, automate tasks, enhance creativity, and make data-driven decisions. It's particularly well-suited for those looking to add a practical and in-demand skill set to their professional toolkit in the evolving landscape of technology.
Homepage

https://www.udemy.com/course/prompt-engineering-for-beginners-a-step-by-step-guide/

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Free Download Publish Your Research In Academic Journals And Conferences
Last updated 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 57m | Size: 7.98 GB
Learn the tips and techniques to get published, gain credibility from your academic study and make a contribution

What you'll learn
How to convert your existing work into a paper that is suitable for a journal
The process of submitting your article to a journal website and what you can expect
Learn the changes tracker technique for getting the structure you need for a successful resubmission
How to select a journal that you want to submit your work for publication
Why you should aim for a highly rated or accredited journal in your field
How to start thinking about putting an article together using work you have already done
The difference between a conference proceedings journal and a peer reviewed journal
How Google Scholar can help you get published and keep track of your citations on your profile and with alerts
How the Researchgate platform works and why its useful for academic collaboration
Why you shouldn't submit the same paper to multiple journals at the same time
How predatory journals trick researchers into getting published and why that might be bad for your career
Why you need to have lots of patience to get your work eventually published
Different approaches you can take to getting published and which works best for you
Different types of journals and how these offer you options for getting published
How your journal article should differ from your final report and how it could be similar
How it works to be a co-author and why this is beneficial for your academic career
Other requirements that journals might have during the submission process
Things to avoid doing in your journey to getting published in an academic journal
The difference between open-access journals and traditional ✅Publishers
Requirements
There are no course requirements
Description
"It's a great course, I didn't know that google scholar could be used for other things besides searching for journal articles and books. Such an eye opener to the publication world, especially for a newbie." - Sindi A."A very useful practical approach to help anyone address reviewers' comments. The course helped me to get back on track with the submission of my Final Master's Report." - Sammy D."Very much helpful for someone like me just embarking on a PhD project" - Paliani"What an amazing course! I have learnt how I should first organise myself properly before start with preparing on article writing. This course really helped me to understand and distinguish between the research work and preparation of article (different tone for the article). I feel so relieved and ready to start with articles preparation. This has been the scariest thing to do, but after finishing this course, I have confidence. Thank so much Dr Peter Alkema." - Flora"It gives a lot of guidance and tactics on how to publish your research, absolutely valuable." - JosephineIn this course I teach you exactly what I did to get my academic work published in peer reviewed journals and conference proceedings. You will complete an assignment that will get you thinking about your next article by developing a title, abstract and three options for journals that you want to get published in. I have been rejected many times from academic journals well but I have figured out why that happened and in this course I teach you how you can improve your chances of getting published. Learn how academic publishing works and how you can become part of it so that you earn the credibility you need as a researcher. Make sure your years of hard work at a post graduate level have the maximum impact by seeing your work in a recognised journal. You will have a better chance of achieving this goal by learning about the following;The changes tracker technique and a demonstration of examples from my own academic submissionsDifferent types of journals; predatory, open-access, traditional, peer reviewed and conference proceedingsHow to research suitable journals and gain a better understanding of how you should position your workWhy you shouldn't submit the same paper to multiple journals at the same timeHow to save time in future submissions and how to plan for a re-submissionBeing a co-author and dealing with co-authors and how to manage a resubmission with themA systematic process for making changes to your article based on multiple sets of feedbackOther aspects of submitting a paper to a journal and additional requirements you may need to meetWhy writing for an examiner is different from writing for a journal and how to make this distinctionA systematic literature review and how you would approach this as an option for publishingHow to approach your own work in the best possible way to get part of it publishedThe points system for published academics and how this works for different journalsLearn from my own experience of getting rejected many times and ultimately getting published. I've combined all these insights and skills into a series of lessons that will teach you how to achieve the objective of getting your work published in an academic journal.
Who this course is for
Anyone who wants to get published in an academic journal
Homepage

https://www.udemy.com/course/get-published/

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Free Download Pymuco - Python For Music Theory, Audio, And Midi Programming
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 170.34 MB | Duration: 1h 7m
Pymuco: A Python Music Computation Library for Musicians and Developers

What you'll learn
Get hands-on with the music computation library to bring musical ideas to life.
Create and play audio and MIDI files with Python
Apply music theory concepts using Python
Manipulate and analyze music data
Requirements
Python Version: 3.7 or higher
PyMuCo Library: Version 1.1.0 or higher
Code Editor: Any standard code editor
Operating System: Compatible with Windows, macOS, or Linux
Audio Output: Speakers or headphones (for playback of generated audio files)
Description
Course Overview: Welcome to the Pymuco course, your comprehensive guide to integrating music theory with Python programming for unique digital music applications. This course is crafted for developers, musicians, and tech enthusiasts who want to delve into the intersection of music and technology. By building music tools from the ground up-without the need for third-party libraries-you'll gain hands-on experience transforming musical notation, MIDI, and audio files directly in Python. From foundational music theory to creating, analyzing, and playing music files programmatically, this course provides a complete toolkit for digital music computation.What You'll Learn:How to apply core music theory concepts directly in Python codeTechniques to convert written musical notation into digital audio and MIDI formatsBuild tools for manipulating, analyzing, and synthesizing musical dataGenerate and play audio files and MIDI files dynamically using PythonExplore programmatic approaches for accurate audio playback and file creationWho Should Enroll: This course is ideal for anyone passionate about combining music and technology. Whether you're a developer eager to expand into audio applications, a musician with a knack for programming, or simply a curious beginner, you'll walk away with practical skills to apply music computation in innovative and real-world projects. Join us to unlock the potential of Python in the world of digital music!
Overview
Section 1: Introduction
Lecture 1 Welcome
Lecture 2 What is Pymuco
Section 2: Course Content
Lecture 3 Scientific Pitch Notation (SPN)
Lecture 4 Music Data
Lecture 5 Note Mapping
Lecture 6 Enharmonics
Lecture 7 Enharmonic Mapping
Lecture 8 Note Frequency Converter
Lecture 9 Interval
Lecture 10 Note Duration
Lecture 11 Music Computation Notation
Lecture 12 Chord
Lecture 13 Scale
Lecture 14 Circle Of Fifths
Lecture 15 Tonality
Lecture 16 Key Signature
Lecture 17 MIDI Utils
Lecture 18 Midi Generator
Lecture 19 Audio Converter
Lecture 20 Player
Programmers and Developers: Interested in applying Python in a musical context, especially those looking to expand their technical skills into music theory and digital audio manipulation.
Homepage

https://www.udemy.com/course/pymuco-python-music/

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Free Download Python Code Optimization - Pro Techniques to Boost Code Speed
Published 11/2024
Created by Pythonic Education
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 58m ) | Size: 1.1 GB

Speed Up Python: Hands-On Case Studies for Faster Code Using Profiling, Data Structures, and Parallel Processing
What you'll learn
Optimize code performance with advanced techniques, creating faster and more efficient solutions in Python
Apply advanced optimization techniques in real-world scenarios through hands-on case studies, strengthening practical problem-solving skills in Python
Identify and analyze Python performance bottlenecks using profiling tools, gaining insights into code execution efficiency
Choose and implement optimal data structures to improve code speed and memory usage
Create parallel processing workflows in Python to maximize code efficiency and reduce execution time in data-intensive applications
Requirements
A working Python environment
Good grasp of basic Python coding
Description
Unlock Lightning-Fast Python Performance and Transform Your Code Today!Are you ready to enhance your Python applications and achieve exceptional performance? "Python Code Optimization: Pro Techniques to Boost Code Speed" is the definitive Udemy course crafted to elevate your Python coding skills. Whether you're a junior developer or an experienced programmer, this course will empower you with advanced techniques to optimize your Python code, ensuring maximum efficiency and speed.Why Enroll in This Course?Master Performance Bottlenecks: Gain a deep understanding of Python's performance limitations and learn how to identify and eliminate bottlenecks that slow down your applications.Advanced Profiling Techniques: Learn to measure and profile your code effectively. Apply these skills to real-world scenarios with detailed case studies.Optimized Data Structures: Discover the power of optimized data structures and learn how to leverage them to handle large datasets efficiently.Parallel Processing: Unlock the potential of concurrency and parallelism in Python. Master multiprocessing and futures to build scalable and high-performance applications.What You'll LearnIntroduction to Code Optimization: Establish a solid foundation in Python code optimization techniques.Understanding Python Performance: Identify and analyze performance bottlenecks in your Python code.Measuring and Profiling: Learn to measure code execution and profile your applications using cProfile and dis.Optimizing Data Structures: Optimize lists, tuples, NumPy arrays, and Pandas DataFrames for faster data processing.Time Complexity: Grasp the principles of time complexity to write more efficient code.Parallel and Concurrent Processing: Implement multiprocessing and futures to enhance your code's performance.General Optimization Tips: Utilize comprehensions, generators, and optimize module imports to streamline your code.Real-World Case Studies: Apply your knowledge through multiple case studies that demonstrate effective code optimization strategies.Who Should Take This Course?Python Developers looking to enhance their code's performance and efficiency.Software Engineers aiming to optimize applications for better speed and scalability.Data Scientists who need to process large datasets efficiently.Anyone Interested in writing high-performance Python code and understanding deep optimization strategies.Enroll Now and Start Optimizing Your Python Code for Maximum Performance!Don't let inefficient code limit your potential. Enroll now and take your Python skills to the next level. Unlock the secrets to writing faster, more efficient code and distinguish yourself as a Python expert!
Who this course is for
Junior-level to advanced Python Developers who want to improve the performance and efficiency of their code in real-world applications
Data Analysts and Scientists experienced in Python, aiming to optimize data-heavy processes and reduce computation time in their workflows
Software Engineers Transitioning to High-Performance Code who already know Python and want to deepen their understanding of performance tuning and optimization strategies
Homepage

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Free Download Python Fundamentals - A Comprehensive Beginner's Guide
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 9m | Size: 1.26 GB
"Mastering Python Basics: From Syntax to Script Execution"

What you'll learn
Understand Basic Syntax and Data Types: Learners will be able to write and execute basic. Python scripts using fundamental syntax
Control Flow and Functions: Participants will gain proficiency in using control flow statements (if, for, while) and will be able to define and call functions.
Working with Libraries and Modules: Students will learn how to import and utilize Python libraries and modules.
Work with Data Structures: Participants will gain proficiency in using built-in data structures such as lists, dictionaries, sets, and tuples.
Requirements
A strong willingness to learn Python.
No programming experince needed.
Access to a laptop or a PC with good Internet access.
Description
Are you ready to begin coding with one of the most influential and versatile programming languages? Welcome to Python Fundamentals - A Comprehensive Beginner's Guide, your gateway to mastering Python from scratch!This course is designed for absolute beginners with no prior programming experience. Whether you're looking to start a career in software development, enhance your problem-solving skills, or explore coding as a new hobby, this course will equip you with the essential knowledge and skills to get started.Throughout the course, you'll learn Python step by step, covering key concepts such as data types, variables, operators, control flow, functions, and data structures like lists and dictionaries. You'll understand how to write Python scripts and gain insights into how programming logic works, which is crucial for building more complex applications in the future. Each line of Python code shown in the course is explained.We'll explore various practical examples, work on mini-projects, and give you hands-on experience through interactive coding exercises. By the end of the course, you'll be able to confidently write and run Python scripts, understand fundamental programming concepts, and be ready to take on more advanced Python topics or dive into specific areas like web development, automation, or data analysis.Enroll now and start your Python journey today!
Who this course is for
Cyber security (non-coders) who desire to learn the Python scripting language.
Those already in cyber security roles who want to further their education of Python automated scripting.
Those wanting to successfully advance in cyber security and penetration testing.
Homepage

https://www.udemy.com/course/python-fundamentals-a-comprehensive-beginners-guide/

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Free Download Python Fundamentals for Network Automation Engineers
Published 11/2024
Created by Hadi Baz Shamas
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 38 Lectures ( 1h 36m ) | Size: 512 MB

Master Python Basics for Network Automation
What you'll learn
Write basic to intermediate Python programs confidently
Learn Python fundamentals in a clear and practical way
Understand Python libraries and functions for real-world applications
Understand Python in context of network automation
Requirements
No prior programming experience is needed; all concepts will be covered from scratch
A computer with Thonny installed for hands-on practice
An eagerness to learn and apply Python skills in practical scenarios
Description
In this course, I will teach you Python fundamentals through practical exercises and hands-on applications, specifically focused on network automation. You'll gain a solid foundation in Python programming, covering everything from basic syntax to intermediate concepts relevant to automating tasks in network engineering and enhancing efficiency.Our journey begins with an Introduction to Python, where you'll learn essential language basics. We'll then dive into Flow Control, mastering logical structures for decision-making in code. You'll work with essential data structures like Lists, Tuples, Sets, and Dictionaries to efficiently store and manipulate information. You'll also explore how to interact with REST APIs and JSON data-key for network automation. Lastly, we'll cover Input/Output and File Handling to handle data and streamline tasks. In addition to the theoretical part, we will have hands-on exercises and practical examples for each section of the course, ensuring you can understand, retain, and apply each concept easily.Whether you're a beginner or looking to deepen your understanding of Python, this course offers a structured, professional, and practical approach. Let's unlock your potential in Python together and advance your automation skills! By the end of this course, you will be well-equipped to tackle real-world network automation challenges with confidence and expertise.
Who this course is for
Students needing Python for academic projects or assignments
Professionals looking to leverage Python for automation in their roles
Beginners curious about programming and coding fundamentals
Homepage

https://www.udemy.com/course/python-fundamentals-for-network-automation-engineers/

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Free Download Python Keras Programming with Coding Exercises
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 31m | Size: 321 MB
Unlock the Power of Deep Learning with Hands-On Keras Coding Challenges

What you'll learn
How to build and train deep learning models using Keras.
Techniques for evaluating, tuning, and optimizing neural networks.
Practical experience with various types of models, including convolutional and recurrent networks.
Advanced topics such as transfer learning and custom layer implementation.
Requirements
Basic knowledge of Python programming.
Fundamental understanding of machine learning concepts is helpful but not required.
Description
Welcome to Python Keras Programming with Coding Exercises, your ultimate guide to mastering deep learning using the Keras library. Keras is a high-level API that simplifies the process of building and training deep learning models, making it a popular choice for both beginners and experienced practitioners in the field of machine learning.In today's rapidly evolving technological landscape, deep learning has become a crucial component of data science and artificial intelligence. The ability to design, train, and optimize neural networks is essential for tackling complex problems in image recognition, natural language processing, and more. This course is designed to help you harness the power of Keras to build advanced deep learning models with ease.Throughout this course, you will gain practical experience with Keras through hands-on coding exercises that cover the following topics:Introduction to deep learning and the role of Keras in simplifying neural network development.Fundamentals of neural networks, including layers, activation functions, and optimization techniques.Building and training various types of models such as feedforward, convolutional, and recurrent neural networks.Techniques for model evaluation, tuning, and optimization to achieve high performance.Practical exercises on real-world datasets to apply your knowledge and solve complex problems.Advanced topics including transfer learning, fine-tuning pre-trained models, and implementing custom layers.Each exercise is designed to reinforce your understanding of Keras and deep learning principles, ensuring that you are well-equipped to apply these skills in your own projects.Instructor Introduction: Your instructor, Faisal Zamir, brings over 7 years of experience in teaching Python and deep learning. As an accomplished Python developer and educator, Faisal's expertise and engaging teaching style will guide you through the complexities of Keras and deep learning, making your learning experience both effective and enjoyable.Certificate at the End of Course: Upon completing the course, you will receive a certificate that acknowledges your proficiency in Keras programming and deep learning, enhancing your professional credentials.
Who this course is for
Data scientists and machine learning practitioners looking to enhance their deep learning skills.
Python developers interested in learning how to implement neural networks using Keras.
Individuals aiming to build and deploy deep learning models for real-world applications.
Homepage

https://www.udemy.com/course/python-keras-programming-with-coding-exercises/

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Free Download Python Masterclass 2025 - Zero To Job Ready With 15 Projects
Last updated 11/2024
Created by Shubham Sarda
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 244 Lectures ( 24h 47m ) | Size: 8.65 GB

Master Python: Go Basics To Advance With Projects (Web, GUI, Automation, Scraping, Data Analysis, OpenAI ChatGPT & More)
What you'll learn
Learn to write clean Python code keeping project building approach in mind
Integrating ChatGPT to our regular day learning to understand things 2x faster
Understand fundamental, intermediate and advanced concepts with detailed explanations and examples!
Work on 13 different projects and 2 assignments with modules: OpenCV, Pandas, Tkinter, Tweepy, Pillow, BeautifulSoup, OpenAI, Flask & More!
Learn about 4 Pillars of Object Oriented Programming
Build problem solving skill with practical examples and project implementations
Use ChatGPT to build project from scratch, build, explain and modify anything!
Explore new features included in Python latest versions including Python 3.12
Explore different niches through projects: Web & Desktop Application, Data Analysis, Work with API, Web Scraping, Automation & More!
Explore OpenAI API for custom projects: AI Chatbot, Podcast Script Writer, Image Generation with DALL-E & More!
Requirements
Windows or Mac Operating System with Internet Connection.
Description
Welcome to Python Programming A-Z. One course to start your Python Journey as a beginner step-by-step. The course touches on every important concept of Python with explanations, examples & implementation. The entire course is designed for beginners with one goal in mind, to learn concepts and build Python projects.Throughout the course, we will explore the most important Python topics step-by-step:Fundamental Concepts:Basics of Python Programming - Expressions, Variables, and Printing OutputPython Operators - Python Assignment Operators, Relational and Logical Operators, Short Circuit OperatorsPython Conditionals and If StatementMethods - Parameters, Arguments, and Return ValuesComplete Object Oriented Programming - Class, ObjectsOOPS - Encapsulation, Inheritance, and Abstract Class.Python Data Structures In-depth - List, Set, Dictionary, and TuplesConditionals - If Else Statement, Nested If ElseLoops - For Loop, While Loop in Python, Break and ContinueMutability - Immutability of Python Basic Types.Builtin And User-Defined ModulesErrors And Exception Handling - try, except, else, and finally. Custom Exception - Raising Exception, Creating, and Raising a Custom Exception.Advanced Concepts:RecursionMap, Filter and ReduceList ComprehensionRegular ExpressionsDecoratorsLoggingDate and TimeWalrus Operator, Positional-Only Argument & f-StringUnion Operator, Type Hinting & Native Time SupportStructural Pattern MatchingException Notes, Better Error Message & Speed ImprovementProjects:Face Detection with OpenCVPassword Generator with Random ModuleData Analysis with PandasAccessing Data through CoinMarketCap APIBuilding Desktop Applications with Tkinter and Integrating SQLite3 Database.Automated Twitter Bot with TweepyAutomated Web Scraper and mailing with BeautifulSoupAutomated Social Media Image Generation using Pillow library and OpenWeatherMap APIPodcast Script Writer with OpenAIConversational Chatbot with OpenAIImage Generator with DALL-EVideo Summarizer with ChatGPTPortfolio Web Application with Flask FrameworkOverall we work on 13 different projects and 2 assignments With OpenCV, Pandas, Tkinter, Tweepy, Pillow, BeautifulSoup, OpenAI, Flask & more. Some projects cover only basics whereas others are in-depth. The main goal of this course is to learn programming by building projects.Why this course?Complete course is focused on the project-building approach, you learn every concept through a logical approach. Learn all important concepts in the simplest possible way with many examples and projects. No previous programming or coding experience is required, we will cover everything step-by-step from basics.After completing this course you will be ready to work as an Intern, fresher, or freelancer and you will also be able to implement everything yourself! Most importantly you will be ready to divide deep with other niche dependent scopes with Python. Enroll now, I will make sure you learn the best about Python.
Who this course is for
Anyone who wants to learn Python
Anyone who wants to learn programming (No previous knowledge required)
Homepage

https://www.udemy.com/course/python-training/

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Free Download Python Matplotlib Programming With Coding Exercises
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 144.88 MB | Duration: 1h 12m
Master Data Visualization in Python with Hands-On Matplotlib Challenges

What you'll learn
How to create and customize various types of plots using Matplotlib.
Techniques for enhancing the clarity and aesthetic appeal of your data visualizations.
The ability to work with subplots and complex visualizations in Matplotlib.
Practical experience in applying Matplotlib to real-world data visualization projects.
Requirements
Basic knowledge of Python programming.
Description
Welcome to Python Matplotlib Programming with Coding Exercises, your comprehensive guide to mastering data visualization using the powerful Matplotlib library. Matplotlib is a cornerstone of Python's data visualization tools, allowing you to create stunning and informative graphs, plots, and charts that make data analysis more accessible and understandable.In today's data-driven world, the ability to effectively visualize data is essential for professionals across various fields. Whether you're a data scientist, analyst, or a Python enthusiast, learning how to use Matplotlib to its fullest potential will significantly enhance your data storytelling skills. This course is designed to address the growing need for clear, impactful data visualizations that drive decision-making and insights.Throughout this course, you will delve into the essential and advanced features of Matplotlib, gaining hands-on experience with coding exercises that reinforce your learning. Here's what you'll cover:Introduction to Matplotlib and its importance in data visualization.Understanding the anatomy of Matplotlib plots and customizing them for clarity and aesthetic appeal.Creating various types of plots including line, bar, scatter, histogram, and pie charts.Working with subplots to create complex, multi-layered visualizations.Adding labels, titles, legends, and annotations to enhance the interpretability of your plots.Styling plots with colors, markers, and line styles to match your data's narrative.Saving and exporting your visualizations for presentations and reports.Each coding exercise is crafted to help you build a solid foundation in Matplotlib, ensuring that you can confidently visualize data in your projects and presentations.Instructor Introduction: Your instructor, Faisal Zamir, has over 7 years of experience in teaching Python and data visualization. As a seasoned Python developer and educator, Faisal has a deep understanding of how to convey complex programming concepts in an easy-to-understand manner, making this course perfect for learners at all levels.Certificate at the End of Course: Upon completing the course, you will receive a certificate of completion, showcasing your proficiency in Matplotlib and your ability to create professional-grade data visualizations.
Overview
Section 1: Introduction to Matplotlib
Lecture 1 Introduction to Matplotlib
Lecture 2 Lesson 01
Lecture 3 Coding Exercises
Section 2: Basic Plotting Techniques
Lecture 4 Basic Plotting Techniques
Lecture 5 Lesson 02
Lecture 6 Coding Exercises
Section 3: Working with Scatter Plots and Histograms
Lecture 7 Working with Scatter Plots and Histograms
Lecture 8 Lesson 03
Lecture 9 Coding Exercises
Section 4: Plot Customization and Aesthetics
Lecture 10 Plot Customization and Aesthetics
Lecture 11 Lesson 04
Lecture 12 Coding Exercises
Section 5: Advanced Plot Types
Lecture 13 Advanced Plot Types
Lecture 14 Lesson 05
Lecture 15 Coding Exercises
Section 6: Working with Time Series Data
Lecture 16 Working with Time Series Data
Lecture 17 Lesson 06
Lecture 18 Coding Exercises
Section 7: Advanced Customization and Styles
Lecture 19 Advanced Customization and Styles
Lecture 20 Lesson 07
Lecture 21 Coding Exercises
Section 8: Data Visualization with Seaborn Integration
Lecture 22 Data Visualization with Seaborn Integration
Lecture 23 Lesson 08
Lecture 24 Coding Exercises
Section 9: Advanced Plotting Techniques
Lecture 25 Advanced Plotting Techniques
Lecture 26 Lesson 09
Lecture 27 Coding Exercises
Section 10: Performance Optimization and Best Practices
Lecture 28 Performance Optimization and Best Practices
Lecture 29 Lesson 10
Lecture 30 Coding Exercises
Data scientists and analysts looking to improve their data visualization skills.,Python developers interested in learning how to effectively visualize data.,Anyone who wants to enhance their ability to communicate insights through data visualizations.
Homepage

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Free Download Python Programming Mastery - Unlock the Power of Coding
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 38m | Size: 1.42 GB
Python programming from scratch to advanced concepts & unlock the full potential of coding in this comprehensive course.

What you'll learn
Introduction to Python
Installing Python and Setting up the Environment
Basic Data Types (Numbers, Strings, Lists, Tuples, Dictionaries, Sets)
Control Flow (If-Else statements, Loop For, While Loop)
Classes and Objects
Operators and Expressions
Functions and Modules
Encapsulation and Abstraction
Regular Expressions
Modules and Packages
NumPy and Pandas for Data Manipulation and Analysis
Matplotlib for Data Visualization
Django for Web Development
Flask for Lightweight Web Development
Code Optimization and Performance Tuning
Requirements
No Prior Experience Required
Description
Unlock the full potential of coding with "Python Programming Mastery: Unlock the Power of Coding"-a comprehensive course designed for beginners and those looking to deepen their Python programming skills. This course will guide you step-by-step from basic concepts to advanced techniques, making you a confident Python programmer ready to tackle real-world projects.You'll begin by mastering the fundamentals of Python, including variables, data types, control structures, and functions. As you progress, you'll explore more advanced topics such as object-oriented programming (OOP), file handling, data manipulation, and popular Python libraries like NumPy and Pandas.Course Outline:Python FundamentalsIntroduction to PythonInstalling Python and Setting up the EnvironmentBasic Data Types (Numbers, Strings, Lists, Tuples, Dictionaries, Sets)Operators and ExpressionsControl Flow (If-Else statements, Loop For, While Loop)Functions and ModulesObject-Oriented Programming (OOP) in PythonClasses and ObjectsInheritance and PolymorphismEncapsulation and Abstraction Exception HandlingAdvanced Python ConceptsRegular ExpressionsFile I/OModules and PackagesDecorators and GeneratorsFunctional Programming in PythonMetaclassesPython Libraries and FrameworksNumPy and Pandas for Data Manipulation and AnalysisMatplotlib for Data VisualizationScikit-learn for Machine LearningDjango for Web DevelopmentFlask for Lightweight Web DevelopmentPython Project DevelopmentTesting and DebuggingCode Optimization and Performance TuningDeployment and MaintenanceThrough engaging lessons, hands-on projects, and coding challenges, you'll develop problem-solving skills and build a portfolio of Python projects. By the end of the course, you'll be equipped to apply Python in diverse fields like web development, automation, data analysis, and even artificial intelligence.This course is your pathway to mastering Python and unlocking endless possibilities in the world of coding. Whether you're aiming for a career in tech or just want to enhance your programming skills, this is the course for you!
Who this course is for
Anyone interested in becoming a proficient Python Programming.
Homepage

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Free Download Python Programming for Cybersecurity From Zero to Defender
Published 11/2024
Created by Alexander Oni
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 73 Lectures ( 7h 44m ) | Size: 1.88 GB

Learn how to code with the Python programming language in a way that is relevant to cyber security
What you'll learn
Understand the basics of programming
Understand Fundamental Python Syntax and Structure
Apply Control Structures to Build Decision-Making Programs
Handle and Process Data using Python Data Structures
Utilize File Handling for Security Applications
Use Modules and Libraries to Enhance Functionality
Implement Object-Oriented Programming Concepts
Understand Basic Security Practices in Python Programming
Requirements
Basic cyber security knowledge
Description
Python Basics for Cybersecurity Professionals is designed to equip you with foundational Python programming skills essential for today's security landscape. Tailored specifically for cybersecurity enthusiasts and professionals, this course will take you from Python basics to building scripts that automate security tasks, handle sensitive data securely, and interact with system resources efficiently.Who Is This Course For?Aspiring cybersecurity professionals looking to build Python skills for entry-level roles.Current security analysts who want to enhance their toolkits with Python for automating tasks.IT and security enthusiasts with little or no programming background who want to start using Python in a security context.No previous programming experience is required-just a willingness to learn and explore!What You'll LearnThrough hands-on exercises, real-world examples, and project-based learning, you'll gain:Python Fundamentals: Start from scratch with Python syntax, variables, data types, control structures, and functions.Data Handling for Security: Manage and process data with Python's lists, dictionaries, and file handling capabilities, essential for working with logs, IP addresses, and credentials.File Management and Automation: Open, read, and write files to automate repetitive tasks and streamline data processing.Secure Programming Practices: Learn to safely handle passwords, hash data, and manage sensitive information following best security practices.Intro to Object-Oriented Programming: Discover how classes and objects can help you build modular, reusable code for security applications.Practical Cybersecurity Applications: Build scripts to solve security-related tasks, such as checking login attempts, filtering suspicious IPs, and working with basic encryption.Course HighlightsCybersecurity-Focused Projects: Apply what you learn in projects that simulate real-world security scenarios.Step-by-Step Guidance: Each module builds on the previous one, making it easy to follow along, even if you're new to programming.Hands-On Learning: Gain practical experience with labs, exercises, and quizzes to reinforce each skill.Code Along with Examples: Follow cybersecurity-themed examples to apply Python in ways that make sense for security tasks.Why Python for Cybersecurity?Python is one of the most versatile languages in cybersecurity, offering flexibility, simplicity, and an extensive library ecosystem perfect for data analysis, automation, and threat detection. Whether you're scanning logs, analyzing network traffic, or creating custom tools, Python can empower you to work more effectively and make an impact in your security role.Join the Course Today!Take your first step into Python programming and start building skills that will support your cybersecurity career. By the end of this course, you'll be able to confidently use Python to automate tasks, analyze data, and create security-focused scripts.Enroll now and get ready to harness the power of Python for cybersecurity!
Who this course is for
Cyber security professionals who want to learn the basics of Python
Students who want to learn how to program with Python
Homepage

https://www.udemy.com/course/python-programming-for-cybersecurity-from-zero-to-defender/

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Free Download Python Projects with Python Programming
Published 11/2024
Created by Anshu Goyal
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 28m ) | Size: 891 MB

Transforming Concepts into Real-World Applications
What you'll learn
Practical Project Development
Familiarity with Python Libraries
Problem-Solving Skills
Confidence in Python Programming
Requirements
Basic Understanding of Programming Concepts: Learners should have a foundational knowledge of programming concepts such as variables, control structures (if statements, loops), and functions. Familiarity with any programming language will be beneficial.
Python Installation: Students must have Python installed on their computers. Instructions for installation and setting up a coding environment will be provided during the course.
Text Editor or IDE: Participants should have access to a text editor (like Visual Studio Code, Atom, or Sublime Text) or an Integrated Development Environment (IDE) such as PyCharm. These tools will be used for coding exercises and project development.
Willingness to Learn: A positive attitude and eagerness to explore Python programming and project development are essential. This course is designed for both beginners and those with some experience, so a curiosity to learn will be the key to success.
Description
Unlock the practical side of Python with our hands-on course, Applied Python: Building Projects with Python Programming! This course is designed to take you from Python basics to real-world project-building, making Python your go-to tool for problem-solving and innovation. Perfect for beginners and intermediate Python enthusiasts alike, this course introduces key programming concepts and applies them in practical projects across data analysis, web development, automation, and more.You'll learn how to:Build projects that solve real-world problems and gain hands-on experience.Implement Python in web scraping, data visualization, and automation.Design functional applications with a clear step-by-step approach.Explore powerful libraries such as Pandas, Flask, and BeautifulSoup.By the end of this course, you'll have the skills and confidence to take on your own Python projects and tackle new challenges independently. Whether you're preparing for a career in tech, aiming to upskill, or simply exploring Python's potential, this course will help you reach your goals.Who is this course for?Aspiring Python developers wanting to enhance their skills through real projects.Students, data enthusiasts, and professionals looking to broaden their programming toolkit.Anyone with a basic understanding of Python aiming to transition from theory to hands-on applications.Enroll today and embark on a journey that transforms your Python skills into real-world applications!
Who this course is for
Aspiring Python Developers: Individuals looking to kickstart their careers in tech will find this course invaluable as it provides essential project-building experience and a solid foundation in Python.
Students and Educators: High school or college students studying computer science or related fields can use this course to supplement their knowledge and gain hands-on experience that will enhance their academic performance.
Data Enthusiasts: Professionals or hobbyists interested in data analysis, data science, or data visualization will benefit from learning how to manipulate and visualize data effectively using Python.
Tech Professionals Looking to Upskill: Individuals currently working in technology or adjacent fields who want to broaden their skill set and learn how to leverage Python for automation, web development, or data processing.
Beginners in Programming: Those with no prior programming experience but a strong desire to learn will find a welcoming introduction to Python, focusing on hands-on projects that build confidence and competence.
Homepage

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