CODuke University · on Coursera
Data Science Math Skills
Beginner 20 hours English University Certificate
Our recommendation
Duke University's short course covering the essential maths for data science — set theory, functions, probability and basic calculus concepts. It is a gentle refresher aimed at filling gaps before a data-science course, not a full maths programme.
Skills you'll gain
MathematicsProbability basicsSet theoryFunctionsData-science foundations
Is this course right for you?
A good fit if you…
You want a maths refresher for data science
You have gaps to fill
You are new to data
Consider something else if you…
You already have strong maths
You want rigorous depth
You want applied coding
About this course
Data Science Math Skills is Duke's accessible introduction to the mathematical concepts data science builds on — set theory, real line and interval notation, counting and combinatorics, probability rules, Bayes' theorem, and random variables. It's designed for learners who want to start a data science learning path but feel uncertain about their mathematical foundation.
What you'll learn
Apply set theory and interval notation used in data science
Calculate permutations and combinations for probability problems
Apply the rules of probability including conditional probability
Understand and apply Bayes' theorem
Work with random variables and basic probability distributions
This course includes
20h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
Free to audit on Coursera; the certificate needs a subscription (about $49 a month), with financial aid available.
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Is the certificate recognised?
Issued through Coursera with Duke University. The understanding is the value.
Instructor
DE
Daniel Egger / Paul Bendich
Coursera instructor
580K+ learners3 courses4.5 instructor rating
Taught by Daniel Egger and Paul Bendich, Duke University mathematics faculty, designed specifically for learners approaching data science from non-mathematical backgrounds.
About this provider
CO
Coursera
University-backed online learning platform. 142M learners, 7,000+ courses from 325+ institutions.
Frequently asked questions
Yes as a gentle refresher of the maths behind data science, especially if you have gaps to fill first.
The essentials — set theory, functions, probability and basic calculus concepts — rather than a full maths course.
You can audit it free on Coursera; the certificate needs a subscription, with financial aid available.
Yes, if the maths in ML courses worries you. It is a light preparation rather than a deep one.
About 20 hours over two to three weeks.