This project was completed as part of the course requirements of Udacity's Data Analyst Nanodegree certification.

The project conducted A/B testing of user conversions on an old and new wepage.

Steps included handling mismatched condition and page assignment, removing duplicate ids, hypothesis testing via bootstrapping and standard statistical tests, and multiple regression modelling.

• Bootstrapping sampling distributions and p-value calculations
• Z-core tests
• Logistic regression
• Multiple linear regression modelling to assess for interactions of independent variables

• Python, Numpy, Pandas, Matplotlib, StatsModels, Scipy
• LaTex
• Jupyter Notebook

• The conversion rate for the new page was not superior to that for the old page
• The country of the user did not impact the rate of conversion between the new and old page