Skip to content

Latest commit

 

History

History
20 lines (15 loc) · 1.48 KB

README.md

File metadata and controls

20 lines (15 loc) · 1.48 KB
Raw

Udacity Data Analyst Nanodegree Project 03 : Analyze A/B Test Results

Summary

This project is one of the required projects in the Udacity Data Analyst Degree. The goals of this project is to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. My goal is to work through the jupyter Notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.

Introduction

The following tools were used in this project :

  • Jupyter Notebook
  • Python
  • Python Libraries : NumPy, pandas, and Matplotlib.
  • Statistic Knowledge: Probability, A/B Testing, Regression.

Files Description:

  • CSV files/ab_data.csv : The Dataset that is used in this project.
  • CSV files/countries.csv : The Dataset that is used in this project.
  • Analyze_ab_test_results_notebook.ipynb : Jupyter Notebook, includes all the code for the probability, A/B Testing, and Regression section. And in the end the end my recommendation.
  • Analyze_ab_test_results_notebook.html: An HTML version of the notebook, for an easy way to observe the Jupyter Notebook.
  • Analyze_ab_test_results_notebook.pdf: A PDF version of the notebook, for an easy way to observe the Jupyter Notebook.