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 stars63.80%
- 4 stars28.01%
- 3 stars5.77%
- 2 stars1.58%
- 1 star0.81%
TOP REVIEWS FROM DATA SCIENCE MATH SKILLS
This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.
Thank you for a great class!!
Great refresher and primer. The section on Probability and Bayes Theory needs a lot more support material (video and notes) as it can get tricky and abstract, especially when doing the quizzes.
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.
This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.
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