Studyportals
Specialization Online

Expressway to Data Science - Essential Math Coursera

Highlights
Tuition fee
Free
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Throughout this Expressway to Data Science - Essential Math Specialization offered by Coursera in partnership with University of Colorado Boulder you'll learn Mathematical Foundations for Data Science. Review key concepts in algebra, calculus, linear algebra, and numerical analysis that are critical for Data Science

Overview

This Expressway to Data Science - Essential Math Specialization 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. 

Key facts

  • Expressway to Data Science is also an excellent primer for students preparing to complete CU Boulder’s Master of Science in Data Science programme.
  • 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) programme.

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Colorado Boulder

Skills you'll gain

  • Numerical Analysis
  • Calculus
  • Derivatives
  • Linear Algebra
  • Integral Calculus
  • Algebra
  • Graphing

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

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

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 Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This short course is included with Coursera Plus subscription

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.

Other interesting programmes for you

Our partners

Expressway to Data Science - Essential Math
Coursera
Expressway to Data Science - Essential Math
-
Coursera

Wishlist

Go to your profile page to get personalised recommendations!