MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner + Intermediate | Genre: eLearning | Language: English +srt | Duration: 3h 48m | Size: 639.7 MB
Learn everything you need to know about Windows 11, the newest desktop operating system from Microsoft. Whether you're new to Windows or upgrading from Windows 10, this comprehensive course will help you work effectively with this powerful OS. LinkedIn Learning instructor Nick Brazzi begins with operating system basics, such as managing files and folders. Next, Nick shows how to find and use apps, browse the web, and work with email, calendar, and contacts. He shows how to use the Microsoft Teams chat integration to quickly send and receive chat messages without launching Teams. Nick also shows how to customize Windows by adjusting your display preferences and account settings. To end the course, he explains how to use Cortana, the digital assistant; share data between Windows devices; and back up Windows.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 46m | Size: 867.1 MB
As technology and market demands evolve, so do project delivery methods. With a variety of methodologies on the market, knowing how to apply them for the best outcome will set you aside from the competition. In this course, project management practitioner Natasha Kasimtseva steps through practical ways to tailor your project delivery leveraging tools from both predictive and agile frameworks. Natasha explains the importance of tailoring your project delivery approaches and the factors that may influence tailoring. She covers several methodologies, including predictive, agile and hybrid project delivery. Natasha goes over real life project situations and tailoring solutions that can be applied right away on your project. She explains and showcases how to apply the suitability model to gage the best project approach, then she concludes with several practical recommendations to help you start tailoring your implementation approach successfully.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 34m | Size: 262.6 MB
React styles and CSS styles haven't always agreed in the use of inline styling. As React development has grown, developers have figured out more and more ways of smoothly integrating and maintaining a style with their code. But with so many options, it may be confusing on where to get started, especially if you've worked with CSS on non-React-based projects. In this course, Emmanuel Henri brings some clarity to your options and introduces the concepts and syntax for CSS modules with React. Whether you need to style a React-based user interface or want to create dramatic animation, this course gives you the keys you need to build an attractive and maintainable style using React and CSS modules.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 39m | Size: 484.8 MB
Python and R are common programming languages used when working with data. Each language is powerful in its own way; however, it's important that you select the language that will best help you achieve your end result. In this course, data scientist and coding instructor Lavanya Vijayan helps you make this choice, sharing important considerations for using each language in various circumstances. Lavanya starts by going over the background of both languages, as well as the strengths and disadvantages of each in different scenarios. She then walks through the process of working on a data science project and how you'd handle the data at various stages using Python and R. Lavanya then covers how to analyze data using both languages. She rounds out the course by discussing the use cases that play to each language's strengths. By the end of this training, you'll have the essential information you need to determine whether Python or R is right for you.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 33m | Size: 409.4 MB
Python and jаvascript are two of the most popular programming languages used by developers, analysts, and data scientists alike. But how do you know which language to use for specific projects or tasks? In this course, longtime instructor and software engineer Julie Nisbet answers this question and provides you with the tools you need to decide between these languages when approaching different projects. Julie starts by exploring the history of each language and how they operate. She then discusses key considerations when picking between each language for a project or task. Julie continues by reviewing key differences between the two programming languages, and closes by exploring various use cases for Python and jаvascript. Upon completing this course, you'll feel prepared to determine whether Python or jаvascript is best for you based on the project at hand.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 29m | Size: 350.3 MB
As Python has risen in popularity, there are many tools and repositories that have also become increasingly important. Of the many that are available, Jupyter and PyCharm have emerged as leading tools. In this course, software engineer and instructor Sam Pettus provides you with the baseline knowledge you need to work effectively with both Jupyter and PyCharm, as well as determine which option works best for you. Sam begins by detailing the difference between integrated development environments (IDEs) and open-source web applications, as well as how each of these tools function. Sam then walks through the key differences between each tool when working on a data science project, including topics such as debugging and integrating data. He then goes over the user profiles that most commonly leverage each program, giving you the ability to make a decision between the two depending on the project or task at hand. After watching this course, you'll be familiar with the pros, cons, and use cases for each programming tool.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 51m | Size: 209.6 MB
Learn new techniques to improve speed and efficiency while editing and performing everyday actions in Adobe Premiere Pro application panels. Instructor Christine Steele covers topics like Source, Program and Timeline panel editing techniques, streamlined effects and finishing skills, and alternative workflows and shortcuts that reduce repetitive actions. Christine shows you how to improve fluidity when performing tasks with standard tools, as well as learning to use less-well-known menu items. The course is set up for quickly learning new techniques, gaining speed while editing, and enhancing recall of the available tools and shortcuts. With Christine's tips, you can improve your performance and agility in Premiere Pro, so you can stay focused on creative efforts and avoid more cumbersome steps to achieve a desired result.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 54m | Size: 412.7 MB
Are you a data science practitioner, looking to develop or enhance your skills in predictive analysis and data mining? This course provides several "big picture" insights, via instructor Keith McCormick, a veteran practitioner who has completed dozens of real-world projects. Keith begins by introducing you to key definitions and processes that you will need to complete the course successfully. He steps you through defining the problem you need your predictive analysis to address, then focuses on how to make sure you meet the data requirements and how good data preparation improves your data mining projects. Keith dives into the skill sets and resources that you need and the problems you will face. Then he goes over the steps to find the solution and put it to work with probabilities, propensities, missing data, meta modeling, and much more. Keith finishes up with detailed explanations of CRISP-DM and Tom Khabaza's nine laws of data mining, plus Tom's new 10th law.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 34m | Size: 227.7 MB
The cloud provides a lot of great benefits for running your applications, but understanding and avoiding pitfalls will make the journey a lot more predictable and be more likely to provide the return on investment of time and energy put into the migration. In this course, Mike Benkovich takes you through the cloud journey, starting with how to build cloud-aware apps, to adding practices and processes to ensure you're working in a way that can support the lifespan of your applications. Mike also shows how to use continuous delivery with GitHub Actions and DevOps pipelines, how to get started with Infrastructure as code, and discusses governance and policy. If you're looking to move your applications to the cloud, join Mike in this course as he provides you with guardrails to make the journey successfully.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 52m | Size: 211.5 MB
Industrial control systems cannot-unlike humans-see, hear, and monitor processes by themselves. Instead, they use industrial sensors to convert mechanical, magnetic, thermal, optical, and chemical variations into electric voltages and currents. In this course, Zahraa Khalil covers the most common types of industrial sensors used within the field of industrial automation. She looks at proximity, temperature, pressure, and level sensors, and explores the operating principles and common applications of each. If you've got the basics of programmable logic controllers (PLCs) programming down and want to see what you can do with industrial sensors, join Zahraa in this course.