Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and...

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results,...

Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.

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

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.

Develop a data mindset and the analytical skills to interpret and communicate data while applying concepts to real business...

To see how calculus applies in situations described by more than one variable, we study vectors, lines, planes, and...

Mathematical models are ubiquitous, providing a quantitative framework for understanding, prediction, and decision making in...

This course is a fast-paced review of the mathematics segments of the business school and graduate school aptitude tests,...

In this course, we explore some classical extremal (and fun) problems including the ones mentioned above. The methods we develop...

In this course, a systematic study of the standard families of functions is combined with some basics of discrete mathematics and...

Ever wonder where a mathematical fact comes from or why you should believe it? What does it mean to prove a theorem, and how do...