Duration: 3h 24m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | Size: 1.12 GB
Genre: eLearning | Language: English
About This Class

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 81 Lessons (20h 23m) | Size: 8 GB
Level up your SwiftUI skills

Med's Map
Duration: 39h 30m | MP4 | Video: 2560x1440, 48kHz | 7.43 GB
Genre: eLearning | Language: English | Skill Level: Beginner

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lessons (1h 15m) | Size: 3.37 GB
From litigator to ultramarathoner to bestselling author to head instructor and VP at Peloton, Robin Arzón keeps proving it's never too late to level up in your life. Now, she's ready to teach you how building your mental strength can help you see what's possible for yourself-and see it through. Learn how to identify your dreams and apply the principles of endurance, power, and strength to help you reach your goals.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 47 Lessons (13h 16m) | Size: 2.73 GB
Full-Stack Web Development with Angular

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner + Intermediate | Genre: eLearning | Language: English + srt | Duration: 4h 14m | Size: 776.2 MB
Garrick Chow shows Apple fans everything they need to know about iOS 15 and iPadOS, the latest operating systems for iPhone and iPad. The course provides in-depth guidance on all aspects of working with iOS devices. Garrick covers everything from the basics you need to navigate your device efficiently to important settings like airplane mode and privacy settings. Plus he shows you features to protect yourself and your device, ways to set up and make use of Siri, and troubleshooting techniques to keep your device running smoothly.

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: 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: 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: 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.