Program profile · official sources
Mathematics for Machine Learning and Data Science Specialization
The Mathematics for Machine Learning and Data Science Specialization by DeepLearning.AI on Coursera is described in the hero as intermediate level but in the description as a beginner-friendly program teaching the fundamental mathematics toolkit of machine learning. Instructed by Luis Serrano, the curriculum covers calculus, linear algebra, statistics, and probability. Students apply math concepts using Python programming in lab exercises, learning to represent data as vectors, perform gradient descent, and quantify uncertainty using common statistical methods. The self-paced online program has an estimate of 12 weeks at 5 hours a week. Earning the shareable career certificate requires paying for the courses and completing the programming assignments. Although described as a 3-course series, the FAQ ambiguously states completion of 4 courses is required for the full specialization certificate.
Facts checked 1 Oct 2026
- Price
- See pricing
The FAQ states a Coursera subscription costs $49 / month. Financial aid is available. No specific total price is stated. No numeric course-completion total or ISO currency is established from the saved page.
- Time
- 12 weeks to complete at 5 hours a week.
- Level
- Intermediate level
- Credential
- Provider-issued course certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Format
- 100% online, self-paced course
- Prerequisites
- The description recommends a high school level of mathematics (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditional statements, debugging). The FAQ states the program assumes prerequisite knowledge of mathematical functions, basic algebra, and basic to intermediate Python programming.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
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What’s covered
- Linear Algebra for Machine Learning and Data Science
- Calculus for Machine Learning and Data Science
- Probability & Statistics for Machine Learning & Data Science
Prerequisites: The description recommends a high school level of mathematics (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditional statements, debugging). The FAQ states the program assumes prerequisite knowledge of mathematical functions, basic algebra, and basic to intermediate Python programming.
What you actually do
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / mathematics-for-machine-learning-and-data-science
- Credential
- Career certificate · www.coursera.org / mathematics-for-machine-learning-and-data-science
- Issuer
- DeepLearning.AI · www.coursera.org / mathematics-for-machine-learning-and-data-science
- Sharing
- Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / mathematics-for-machine-learning-and-data-science
- Exam requirement
- The page describes earning a certificate if you pay for the courses and complete the programming assignments; it does not explicitly establish whether a formal exam is required. Note a contradiction in the source text: while the specialization is prominently described as a 3-course series, the FAQ ambiguously states that completing all 4 courses is required to receive the full specialization certificate. · www.coursera.org / mathematics-for-machine-learning-and-data-science
Who should skip it
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Change log
- : Initial recorded review of official program details. · Source