Using the IBM HR Analytics Employee Attrition & Performance dataset from Kaggle, I did a check on learning with Hypothesis Testing to retain and practice the concepts. 
Using Python, Numpy, and Pandas, I explored applying this method to the IBM dataset in order to challenge Job Satisfaction vs Longevity. I have always assumed that if an employee is with a company for an extended period of time they are satisfied with the company. Join me as I discuss what I've learned about Hypothesis testing and discover the results!
Link to my GitHub
Link to my Website
Email me tlkdata2me@gmail.com

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A Message to the Unconventional Data Scientist

Talk Data 2 Me is an open space for those who are beginning their Data Science journey. Charity, the founder of TD2M is a digital marketing specialist working towards obtaining a Masters in Data Science and Analytics. Saddle up and come along for the ride of a lifetime as she shares the highs and lows of her real-time experiences in learning and working with components of data science through course work and free online courses in both data science and machine learning.