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.
Offered By
Data Science Math Skills
Duke UniversityAbout this Course
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- Bayes' Theorem
- Bayesian Probability
- Probability
- Probability Theory
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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
Reviews
- 5 stars63.81%
- 4 stars28.01%
- 3 stars5.76%
- 2 stars1.59%
- 1 star0.81%
TOP REVIEWS FROM DATA SCIENCE MATH SKILLS
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.
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.
Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)
Very good instructors, good technical quality the presentation. The refresh of basic math concepts is helpful und the brief introduction to Bayesian statistics is one if the better that I've seen.
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