This program teaches the foundational concepts, theory, and techniques you need to know to become an effective data analyst. Participants will analyze various datasets, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results. Along the way, participants learn the best practices and computational techniques used by professional data scientists.

From there, the data wrangling topics and lab exercises provide an understanding of the processes used along with the knowledge of the most popular tools and techniques in the domain. The Python content here further demonstrates how to use the Python back-end and extract/transform data from an array of sources including the Internet.