# Mathematics for Computation and Data Science

Learn topics in discrete mathematics, real analysis, linear algebra, and integral calculus – chosen for their relevancy to computer science.

Learn topics in discrete mathematics, real analysis, linear algebra, and integral calculus – chosen for their relevancy to computer science.

Image

Pace

Instructor-led

Subject

Course Language

English

English

Intermediate

Credit

Degree Credit

Platform

Extension School, Harvard Division of Continuing Education

Topics in discrete mathematics, real analysis, linear algebra, and integral calculus, chosen for their relevance to computer science, probability, statistics, and data science. Foundations of probability, logic, vector spaces, infinite series, and integration. Application to statistical problems. Includes an introduction to statistical and graphical tools in the R programming language.

Online

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

Price

Free^{*}

Registration Deadline

Available now

Online

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

Price

Free^{*}

Duration

10 weeks long

Registration Deadline

Available now

Online

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

Price

Free^{*}

Duration

9 weeks long

Registration Deadline

Available now