Students will learn essential skills including describing data, understanding probability theory, designing experiments, interpreting statistical results and applying statistical models with Python. After successfully completing this Nanodegree, graduates will be armed with a robust foundation in statistical analysis that can be applied to Data Analyst, Business Analyst, and Data Scientist roles.
This capstone project gives you hands-on experience with A/B testing, a key practical application of statistical analysis. Students will produce a detailed technical analysis in a Jupyter Notebook, along with a non-technical slide deck presentation designed to effectively communicate their findings and recommendations to business stakeholders.