We follow a five step framework to prepare you for success as a data scientist. While you can jump to any course, each one builds heavily on the previous material. Each phase bring new concepts and examples as well as plenty of practice problems. Each course culminates in unique, guided projects that you can add to your portfolio as you progress.
Our introductory course establishes the foundational analytical skills required of any data scientist
We then dive into Python to build a critical understanding of data structures and data processing
Next, we help you intuitively grasp machine learning basics and begin leveraging powerful Python libraries
Then we explore how the data scientist approaches model selection, interpretation, and implementation
Finally, our Natural Language Processing course specializes in applying machine learning to text data