beginnerCertificate$49/mo
Mathematics for Machine Learning and Data Science Specialization
by Luis Serrano · Coursera
4.6(9,500 reviews)
200K+ enrolled3 monthsUpdated 2024-10
What You'll Learn
Understand the fundamentals and key concepts of linear algebra
Apply linear algebra techniques to solve real-world problems
Understand the fundamentals and key concepts of calculus
Apply calculus techniques to solve real-world problems
Understand the fundamentals and key concepts of statistics
Apply statistics techniques to solve real-world problems
About This Course
Three-course specialization covering linear algebra, calculus, and probability & statistics as foundations for machine learning.
Curriculum
Module 1: Linear algebra & Calculus6 lessons
- Introduction to linear algebra
- Linear algebra in Practice
- Hands-on Exercise: Linear algebra
- Introduction to calculus
- Calculus in Practice
- Hands-on Exercise: Calculus
Module 2: Statistics & Probability6 lessons
- Introduction to statistics
- Statistics in Practice
- Hands-on Exercise: Statistics
- Introduction to probability
- Probability in Practice
- Hands-on Exercise: Probability
Module 3: Machine learning3 lessons
- Introduction to machine learning
- Machine learning in Practice
- Hands-on Exercise: Machine learning
Instructor
Luis Serrano
Instructor at Coursera
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Luis Serrano
- Well-structured curriculum
Cons
- Requires paid subscription
- May be too basic for experienced practitioners
- Self-paced requires discipline
$49/mo
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