This is an anaylsis that I am doing for the IBM Machine Learning Professional Certification course. It's the capstone project for the introductory course on data anaylsis!

Once you have selected a data set, you will produce the deliverables listed below and submit them to one of your peers for review.Treat this exercise as an opportunity to produce analysis that are ready to highlight your analytical skills for a senior audience, for example, the Chief Data Officer, or the Head of Analytics at your company.

Sections required in your report:

Brief description of the data set and a summary of its attributes

Initial plan for data exploration

Actions taken for data cleaning and feature engineering

Key Findings and Insights, which synthesizes the results of Exploratory Data Analysis in an insightful and actionable manner

Formulating at least 3 hypothesis about this data

Conducting a formal significance test for one of the hypotheses and discuss the results

Suggestions for next steps in analyzing this data

A paragraph that summarizes the quality of this data set and a request for additional data if needed