Data Analysis Students: Data Cleanup and Regression Analysis      

a. Combine the files, clean, and manipulate them.      

b. Formulate at least 5 different questions and provide answers to them with at least 5 informative visualizations with your explanations and comments.      

c. The work should be submitted in a .py/.ipynb/.r script.    

Advance programming skills and refine ability to work with messy, complex datasets. manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, use data skills to tell a story with data. combine files, cleanup, and manipulate them, formulate different questions and provide answers with informative visualizations, explanations and comments. using Python, MySQL, Power BI and Excel spread sheets with advanced formulas.