
Overview
This Mathematics for Machine Learning and Data Science course is offered by Coursera in partnership with Deeplearning.
What you'll learn
- A deep understanding of the math that makes machine learning algorithms work.
- Statistical techniques that empower you to get more out of your data analysis.
Skills you'll gain
- Bayesian Statistics
- Mathematics
- Linear Regression
- Calculus
- Machine Learning
- Probability
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Linear Algebra for Machine Learning and Data Science
- Calculus for Machine Learning and Data Science
- Probability and Statistics for Machine Learning and Data Science
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
- 5 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Mathematics Data Science & Big Data Machine Learning View 52 other Short Courses in Mathematics in United StatesExplore more key information
Visit programme websiteWhat students do after studying
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
- Beginner level
- Recommended experience
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus and have unlimited access
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.