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The aim of this project is to understand the results of an A/B test run by an e-commerce website.

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anniemburu/Analyze_ab_test_results

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Analyze_ab_test_results

Overview

This project is a requiremetn project for Udacity's Data Analyst Nanodegree Program.

A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these tasks. For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

Prerequisites

To run the following project, you would require the following installed;

  • Anaconda
  • Python 3
  • Pandas
  • Numpy
  • Matplotlib
  • You will also be required to have some basic knowledge in;

  • Regression
  • Basic Statistics
  • Investigated Dataset

    For this project, the dataset which are used are found in the Data folder which are

  • ab_data.csv
  • countries.csv
  • Referrence Material

    Pandas Documentation

    Numpy Documentation

    Matplotlib Documentation

    Seaborn Documentation

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    The aim of this project is to understand the results of an A/B test run by an e-commerce website.

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