Linear Algebra for Data Science in R, Short Course | Part time online | Data Camp | United States
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Short Online

Linear Algebra for Data Science in R

1 days
Duration
Free
Free
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Tuition fee
Anytime
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Apply date
Anytime
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About

In this Linear Algebra for Data Science in R course at Data Camp, you’ll learn how to work with vectors and matrices, solve matrix-vector equations, perform eigenvalue/eigenvector analyses and use principal component analysis to do dimension reduction on real-world datasets.

Overview

Context of the Linear Algebra for Data Science in R course at Data Camp

Linear algebra is one of the most important set of tools in applied mathematics and data science.

All analyses will be performed in R, one of the world’s most-popular programming languages.

Programme Structure

Chapters

  • Linear Algebra
  • Matrix-Vector Equations
  • Eigenvalues and Eigenvectors
  • Principal Component Analysis

Key information

Duration

  • Part-time
    • 1 days

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

PREREQUISITES

  • Introduction to R

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 days.
  • National

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

Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing

Funding

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