Python Functions for Data Science
This course was an extremely helpful refresher on various data analysis tools and functions within Python, specifically using Jupyter Notebooks. It essentially served as a crash course of MIS 3505 – Scripting for Data Science, as it went over many of the functions we learned in that class. I was recently tasked with performing a data analysis using Python/Jupyter Notebook for work, so I wanted to jog my memory with this learning. In this course, I was reminded of critical data cleansing, analysis, and visualization functions and libraries, including Matplotlib and Seaborn for visualization, and NumPy for data manipulation. I would definitely recommend this learning for anyone taking MIS 3505 or interested in python for data analysis