• 6 hours
  • Medium

Free online content available in this course.



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Last updated on 8/25/22

Course introduction

Python has gained a lot of traction over the years in the field of Data Analytics. It's easy-to-learn, free to install, and has many libraries designed for quick and easy data manipulation.

In this course, we will learn Python best practices for data analysis. We will first explore the basic functionality of Jupyter Notebook, and then dig into some of the most useful Python libraries for data analysis such as Pandas, Matplotlib, and NumPy

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Table of contents

Example of certificate of achievement
Example of certificate of achievement