Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.
Data Science Math SkillsDuke University
About this Course
Skills you will gain
- Bayes' Theorem
- Bayesian Probability
- Probability Theory
Syllabus - What you will learn from this course
Welcome to Data Science Math Skills
Building Blocks for Problem Solving
Functions and Graphs
Measuring Rates of Change
Introduction to Probability Theory
- 5 stars63.81%
- 4 stars28%
- 3 stars5.77%
- 2 stars1.58%
- 1 star0.81%
TOP REVIEWS FROM DATA SCIENCE MATH SKILLS
Please include integration, algorithm analysis (big O, theta, omega), recursion and induction. Your course is helpful, thank you. If you add those things I've mentioned it would be absolute gold.
Weeks 1-3 were quality. Week 4 was a little sloppy in the instructional videos and less clear than in Weeks 1-3. Overall, concise refresher of various mathematical subjects useful to data science.
The content of the course as a whole is interesting as a good synthesis of basic skills, even though the content of the weeks 3 and 4 lacks of clarity compared to the content of the weeks 1 and 2.
It was a very good opportunity to go through the course, and the content was good. I can say I definitely learnt a lot in this course. Thanks team and kudos to great work you guys are doing.
Frequently Asked Questions
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