Expressway to Data Science: Essential Math

Coursera MOOC / Non-credit USD 49
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Expressway to Data Science: Essential Math

About this course

Data Science is growing rapidly, creating opportunities for careers across a variety of fields. This specialization is designed for learners embarking on careers in Data Science. Learners are provided with a concise overview of the foundational mathematics that are critical in Data Science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. Expressway to Data Science is also an excellent primer for students preparing to complete CU Boulder’s Master of Science in Data Science program. This specialization is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com

What you'll learn

  • understanding of algebra concepts
  • knowledge of calculus principles
  • familiarity with linear algebra
  • insight into basic numerical analysis

Course objectives

  • equip learners with foundational math skills relevant to data science
  • prepare learners for advanced data science coursework

Skills you'll gain

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