What you'll learn:

In Data Analytics Methods, learn all about predictive modeling for a business setting. The types of algorithms covered are used for uncovering more complex business insights than possible using descriptive statistics (of the type covered in Courses 1 and 2). By learning how to build a predictive model in Python, learners will gain the capability to better describe the relationships between multiple variables in a dataset. While typically this content depends on an advanced understanding of statistics, this course teaches how to build and interpret models without needing a statistics prerequisite by focusing on the most essential aspects of predictive modeling.

What you'll do:

This course features interactive videos to help learners understand both the analytical concepts and the software. This course contains a capstone project, in which learners will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.

What you'll receive:

A certificate of completion and digital badge