This online data science specialization is ideal for learners interested in embarking on a career within the field of data science. You will review the foundational mathematics that are critical in data science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. This specialization is also an excellent primer for learners preparing to complete CU Boulder’s Master of Science in Data Science program.

By completing this specialization, you will be able to:

  • Compute simple derivatives
  • Convert between linear systems and matrix notation and use matrix algebra to solve linear systems
  • Factor a simple matrix using Singular Value Decomposition (SVD)
  • Practice working with logarithm properties and how logarithm functions behave graphically


  • Algebra and Differential Calculus for Data Science
  • Essential Linear Algebra for Data Science
  • Integral Calculus and Numerical Analysis for Data Science

This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program.

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