A_B_Testing_for_Business_Analysts

An A/B Testing Project for the Udacity course "A/B Testing for Business Analysts".

Matched Pair Design, Picking Control Units

This project is about selecting appropriate control units for a preselected set of treatment units to test the introduction of a new product to stores.

Install

This project requires Python 3.x and the following Python libraries installed:

• sklearn
• NumPy
• Pandas
• matplotlib

You will also need to have software installed to run and execute a iPython Notebook

I recommend installing Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

Code

Template code is provided in the Matched Pair Design/Matched Pair Design, Picking Control Units.ipynb file.

Run

In a terminal or command window, navigate to project directory, then go to the directory Matched Pair Design/ and run one of the following commands:

ipython notebook "Matched Pair Design, Picking Control Units.ipynb"

or

jupyter notebook "Matched Pair Design, Picking Control Units.ipynb"

This will open the iPython Notebook software in your browser.

Data

The datasets used for this project can be found by navigating to project directory, then going to the directory Matched Pair Design/Data/.

Randomized Design Tests

This project is about testing whether the addition of an automated call reception service would result in better customer ratings.

Install

This project requires Python 3.x and the following Python libraries installed:

• sklearn
• NumPy
• Pandas
• matplotlib
• scipy

You will also need to have software installed to run and execute a iPython Notebook

I recommend installing Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

Code

Template code is provided in the Randomized Design Tests/Randomized Design Tests.ipynb file.

Run

In a terminal or command window, navigate to project directory, then go to the directory Randomized Design Tests/ and run one of the following commands:

ipython notebook "Randomized Design Tests.ipynb"

or

jupyter notebook "Randomized Design Tests.ipynb"

This will open the iPython Notebook software in your browser.

Data

The datasets used for this project can be found by navigating to project directory, then going to the directory Randomized Design Tests/Data/.