Study topics within calculus such as derivatives, differentiation, and integrals.

Gain a better understanding of underlying concepts of statistics.

See how calculus applies in situations described by more than one variable

Learn basic data visualization principles and how to apply them using ggplot2.

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Show what you’ve learned from the Professional Certificate Program in Data Science.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.