Build your career with AKAOLU - Mathematics for Data Science

Mathematics for Data Science

Master linear algebra, calculus, probability, and statistics for data science applications.

3.3 (3 reviews)

0 students

16 lessons

20h

Intermediate

English

Created by Amina Diallo

Data Scientist Updated Sep 2026

16 Lessons On-demand videos

Intermediate Skill level

Lifetime Access Learn at your pace

English Language

About This Course

Master linear algebra, calculus, probability, and statistics for data science applications.

What You'll Learn

Work with databases and data storage solutionsBuild real-world projects from scratchDocument code and technical processesUnderstand core concepts and best practices

Course Curriculum

16 lessons • 20h

Introduction to Mathematics for Data Science

Self-paced

Numbers, Variables, Functions and Equations

Self-paced

Algebraic Expressions and Mathematical Operations

Self-paced

Exponents, Logarithms and Mathematical Notation

Self-paced

Vectors and Vector Operations

Self-paced

Matrices and Matrix Operations

Self-paced

Systems of Linear Equations

Self-paced

Eigenvalues, Eigenvectors and Applications

Self-paced

Introduction to Limits and Continuity

Self-paced

Derivatives and Rates of Change

Self-paced

Partial Derivatives and Multivariable Functions

Self-paced

Gradients and Optimization

Self-paced

Fundamentals of Probability

Self-paced

Random Variables and Probability Distributions

Self-paced

Descriptive Statistics and Data Summarization

Self-paced

Statistical Inference and Correlation

Self-paced

Course Requirements

Stable internet connection for video contentBasic understanding of programming concepts helpful but not requiredWillingness to learn and practice regularlyA GitHub account for version control exercisesA code editor like VS Code (free)

Who This Course Is For

Beginners

Anyone starting from scratch who wants to build a solid foundation in this subject.

Intermediate Learners

Those with basic knowledge looking to deepen their expertise and tackle advanced concepts.

Career Changers

Professionals transitioning into this field who need structured, practical training.

Professionals

Experienced individuals who want to update their skills and stay current with industry trends.

Meet Your Instructor

Amina Diallo

Data Scientist

PhD in Machine Learning, published researcher, and industry consultant.

Student Reviews

3.3 Course Rating

Charlie Brown

Jun 26, 2026

Great course overall. The content is thorough and well-organized. Would love more advanced topics.

Paul Lee

Oct 22, 2025

Average course. The content is adequate but could benefit from more real-world examples.

Rachel White

Sep 07, 2025

Okay course. The information is accurate but the presentation style needs more energy and enthusiasm.

Frequently Asked Questions

How do I access this course?

After enrolling, you get instant access to all course materials including video lessons, resources, and assignments. You can access them anytime from your dashboard.

Yes, upon successful completion of all lessons, you will receive a certificate of completion that you can share on LinkedIn or your resume.

We offer a 30-day money-back guarantee. If you're not satisfied with the course, contact us within 30 days for a full refund.

Check the requirements section above. Most courses are designed for the stated difficulty level and may require basic knowledge in the field.

Yes, all courses are fully accessible on mobile devices, tablets, and desktop computers. Learn anytime, anywhere.