/Analyze-AB-Test-Results

A data analytics project that utilizes PANDAS, Numpy, Matplotlib and statsmodel to analyze the results of hypothesis testing and regression modeling in determining whether a website update should be launched.

Primary LanguageJupyter NotebookCreative Commons Attribution 4.0 InternationalCC-BY-4.0

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.