Published 08/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 15 lectures (2h 39m) | Size: 2 GB
Introduction to Python & Data Analysis
What you’ll learn
Programming Basics: learn ~any~ language with these basic skills.
Python – a popular, powerful, and easy-to-learn programming language
Numpy – a popular Python library for data analysis
Pandas – a popular Python library for data analysis
Analyze a dataset & graph your results!
Requirements
Access to a computer or laptop
Access to the internet
No coding skills required!
Description
If you have zero coding experience and want to learn the fundamentals, this course is for you. In a few short lectures, you’ll have everything you need to know to start your programming journey. Whether you want to code games on the side or create the next great AI, this course can help you get there. And it teaches you one of the easiest, most versatile, and most in-demand languages ever created: Python.
Learn the basics of Python, a powerful, popular, and easy programming language. By the end of this course, you’ll be able to analyze a dataset nd graph your results with ease. Built out of a Master’s Thesis from the Georgia Institute of Technology, this course teaches you the fundamentals based on methods proven by researchers to be effective in creating long-lasting learning outcomes. Not only will this equip you with the confidence to complete your own projects, you’ll have all the tools you need to learn any programming language you might need in the future.
This course was specifically designed with non-programmers in mind. So even if you don’t want to become a full-time software developer, you’ll still gain valuable knowledge about the most in-demand skill of the 21st century.
Who this course is for
Anyone who wants to learn the basics of programming.
Anyone who wants to analyze a dataset with Python.
Anyone with zero coding expierence.
Anyone who wants a quick Python refresher.
Non-programmers who want to dip their toes in the water.
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