Python in Data Science is huge right now. This course covers the basics to get started looking at and manipulating data in Python. We will use the popular Jupyter and Pandas tools to ingest, tweak, visualize, and pivot data. There are ample labs for you to try out the tools on your own.
Topics covered include using notebooks, data structures in pandas, loading data, summary statistics, visualization, pivoting and more. Taking this course will teach you how to leverage the pandas library. You will be much more efficient and productive following this course.
* This course can run two or three days (extra day for visualization with Matplotlib and Seaborn).