Program profile · official sources
Mathematics for Machine Learning Specialization
The 'Mathematics for Machine Learning Specialization' by Imperial College London on Coursera is a beginner-level, three-course program bridging the gap between underlying mathematics and their application in data science. Instructed by David Dye and others, the curriculum covers linear algebra, multivariate calculus, and dimensionality reduction with Principal Component Analysis (PCA). Students learn to relate vectors, matrices, and gradients to machine learning, implementing concepts in Python using interactive Jupyter notebooks. The self-paced program features mini-projects like calculating page rank and training a neural network. Earning the shareable career certificate requires completing all courses. Overview: 4 weeks at 10 hours a week. FAQ: 3/4 hours a week for 3 to 4 months. These are separate provider estimates.
Facts checked 29 Sep 2026
- Price
- See pricing
As shown in the United States on 29 September 2026: No specific total price is stated. Subscription is required for full access. Financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
- Time
- Overview: 4 weeks at 10 hours a week. FAQ: 3/4 hours a week for 3 to 4 months. These are separate provider estimates; no combined completion promise is inferred.
- Level
- Beginner level
- Credential
- Provider-issued certification
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
- High school maths knowledge is required. Basic knowledge of Python can come in handy, but it is not necessary for courses 1 and 2. For course 3 (intermediate difficulty) you will need basic Python and numpy knowledge to get through the assignments.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
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No accepted numeric price in this registry. See the sourced pricing details below.
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What’s covered
- Mathematics for Machine Learning: Linear Algebra
- Mathematics for Machine Learning: Multivariate Calculus
- Mathematics for Machine Learning: PCA
Prerequisites: High school maths knowledge is required. Basic knowledge of Python can come in handy, but it is not necessary for courses 1 and 2. For course 3 (intermediate difficulty) you will need basic Python and numpy knowledge to get through the assignments.
What you actually do
What the credential is
- Credential type
- Provider-issued certification · www.coursera.org / mathematics-machine-learning
- Credential
- Career certificate · www.coursera.org / mathematics-machine-learning
- Issuer
- Imperial College London · www.coursera.org / mathematics-machine-learning
- 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-machine-learning
- Exam requirement
- The page describes course completion and applied learning assignments/projects; it does not explicitly establish whether an exam is required. · www.coursera.org / mathematics-machine-learning
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Change log
- : Initial recorded review of official program details. · Source