• Classroom
  • Online, Instructor-Led
  • Online, Self-Paced
Course Description

The purpose of this course is to teach some of the best and most general approaches to get the most out of data through clustering, classification, and regression techniques. Students will gain experience analyzing several kinds of data, including document collections, financial data, scientific data, and natural images.

Learning Objectives

Complete a data science project, from inception to presentation. Apply data analysis techniques to data using Python. Structure and execute hypothesis testing experiments. Train and evaluate supervised models. For more information, review the Creating Meaningful Learning Objectives module.

Framework Connections