Analyze Results of AB Testing

This is a data analytics project utilizing Python v.3 libraries Numpy, PANDAS, Matplotlib & Statsmodel through Jupyter Notebook in order to analyze the A/B test results and assist an e-commerce company in deciding whether to implement a new page or keep an old page.

Required Software:

Jupyter Notebook

Numpy

PANDAS

Matplotlib

Statsmodel

Analysis Outline:

Wrangle with data to ensure data quality by programmatically cleaning and assessing.

Utilize descriptive statistics to obtain preliminary analysis of data.

Visualize data for further analysis and document observations.

Utilize concepts of hypothesis testing as well as regression modeling in order to accurately choose the correct.

Document predictions formed from the use of inferential statistics.