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!...

대학: 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)

대학: 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.

필터링 기준:

399개의 리뷰

대학: Phúc Phan

•May 19, 2019

A very helpful course for starting data science.

대학: Syed Azeem Inam

•May 16, 2019

Excellent courser

대학: Laxman Lamani

•May 14, 2019

well explained

대학: Akhil Eaga

•May 14, 2019

Excellent course to refresh some basic math concepts

대학: Francisco Astorga

•May 10, 2019

Great introduction to the required math skills necessary to apply data science. Very useful

대학: Mohd Fareez Edzuan Bin Abdullah

•May 09, 2019

Though that this course was too simple but actually it is quite an eye opening and refreshing for the last two topics. Well done!

대학: Nagaraj A Mahurkar

•May 09, 2019

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대학: Swaviman Kumar

•May 08, 2019

Very well explained concepts. The probability portion was the best. Baye's theorem & Binomial theorem were very interesting. I had a very nice learning experience.

대학: Trong Tu Luong

•May 03, 2019

Good Refresher course. The material is on the easy side so you can finish the class in 1-2 hours. The last part of the class about probability was very good.

If you don't know anything before hand, this would be a good introduction to math topic that you would need to know, but not enough to stand on its own.

대학: Abdulrazak Ismail

•May 01, 2019

It was a nice course and well documented