Expressway to Data Science - Essential Math, Short Course | Part time online | Coursera | United States
1 months
Duration
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Anytime
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About

Learn Mathematical Foundations for Data Science. Review key concepts in algebra, calculus, linear algebra, and numerical analysis that are critical for Data Science with this Expressway to Data Science: Essential Math course offered by Coursera in partnership with University of Colorado Boulder.

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Overview

Data Science is growing rapidly, creating opportunities for careers across a variety of fields. This Expressway to Data Science: Essential Math course offered by Coursera in partnership with University of Colorado Boulder 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.

Applied Learning Project

Learners will complete quizzes in each of the courses in order to test their understanding of the content as they progress. This specialization does not include any projects or final exams as it is meant to be a fast-paced content review to prepare learners for the higher-level maths required in Data Science.

What You Will Learn:

  • Compute simple derivatives.
  • Factor a simple matrix using  Singular Value Decomposition (SVD).
  • Convert between linear systems and matrix notation and use matrix algebra to solve linear systems.

Skills You Will Gain:

  • Integrals
  • Matrix Algebra
  • Diagonalization
  • Numerical Analysis
  • Derrivatives

Programme Structure

Courses include:

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

Key information

Duration

  • Part-time
    • 1 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate level

  • Beginning algebra and basic function graphing.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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