Back to Data Science Math Skills

4.5

1,725 ratings

•

397 reviews

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.
Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material.
Topics include:
~Set theory, including Venn diagrams
~Properties of the real number line
~Interval notation and algebra with inequalities
~Uses for summation and Sigma notation
~Math on the Cartesian (x,y) plane, slope and distance formulas
~Graphing and describing functions and their inverses on the x-y plane,
~The concept of instantaneous rate of change and tangent lines to a curve
~Exponents, logarithms, and the natural log function.
~Probability theory, including Bayes’ theorem.
While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, "Mastering Data Analysis in Excel," which is part of the Excel to MySQL Data Science Specialization. Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in "Mastering Data Analysis in Excel."
Good luck and we hope you enjoy the course!...

By AS

•Jan 12, 2019

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)

By PS

•Jul 23, 2017

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.

Filter by:

388 Reviews

By Mike

•Apr 08, 2019

Great!

By Shreyas

•Mar 28, 2019

A Basic Introduction to Function Graphs and Probability. To ace data science interview (Math part), I feel the content is not enough.

By Silas Mokone

•Mar 25, 2019

great course and good basics for anyone starting in Data science highly recommended

By Jonathan Raboin

•Mar 25, 2019

Very helpful

By Aftab Ahmad

•Mar 20, 2019

This course is really helpful to data science student.I was very weak in probability and statistics but this course really polish my skills.

By Aman Garg

•Mar 20, 2019

The course is well structured and good for the newbies and the ones who are not from mathematics background.

By Eugenio Enrique Contreras Sanchez

•Mar 19, 2019

The first half it was great. After that I felt really confused with the probability examples and the exercises was really tricky. Besides of that, it's a good course.

By rinki bansal

•Mar 12, 2019

Very good course

By Ashish Krishan Sharma

•Mar 11, 2019

better

By Amit kumar meena

•Mar 11, 2019

good

Coursera provides universal access to the world’s best education,
partnering with top universities and organizations to offer courses online.