Data Science Math Skills に戻る

4.5

2,007件の評価

•

450件のレビュー

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!...

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)

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.

フィルター：

by anqi t

•Feb 24, 2018

good courses!

by Zhang Q

•Jan 19, 2017

the course is designed at a good speed and provide necessary information.

by Josué R G S M

•Jan 04, 2018

Los contenidos son en inglés pero los profesores tienen una perfecta dicción y no hablan rápido de tal modo que los puedes entender perfectamente con sólo un poco de inglés. Los contenidos matemáticos están debidamente dosificados y muy interesantes. Recomiendo el curso

by Kehinde O

•Aug 24, 2017

This is a great course for anyone who has little or no experience with elementary algebra and for those who might have forgotten.

by Lesly A F

•Aug 14, 2017

Great course to refresh your Math Basics

by Nitish K

•Jun 13, 2017

Good Content

Thanks

by Tony J A

•Jul 21, 2017

Really good course to get a understanding of the basic concepts required to start with data sciences. Teachers are excellent and the quizs and assignments are challenging.

by Rami A T

•Mar 05, 2017

Very important Review course

by Rajesh S B

•Aug 19, 2017

Very well structured course for beginners. My fav is week 4

by Laurent B

•Jun 19, 2017

While most of material is well known, it is presented in a great way, so it is a clean and smart refresher for Sets, basic Algebra and notations, Cartesian geometry and functions, and derivatives. I knew the material about logarithms, exponentials and probabilities, but I felt that I knew it better in the end of this courses. Material is great, and teachers are very clear. I wish they came with more material about calculus (matrices), vector spaces, Lagrangian, Hessian and so on, which are also really interesting in Data Sciences.

by Konstantin K

•Oct 26, 2017

Compact but clear and informative!

by Zhenqing H

•Dec 17, 2017

This course gives me the basic conceptions about the mathematics, especially parts about calculus and possibilities, however, if would be great if there are samples or basic practices related with the data science.

by Bernd F

•Mar 11, 2018

Very good learning experience. Thanks!

by Georgios P

•May 07, 2017

Good introductory course to build the fundamental knowledge needed to go further.

by Venkata K V M

•Jul 03, 2017

Good for Beginners.

by 黄杜煜

•Feb 11, 2018

A useful course with all basic math knowledge you should have!

by Jackie C

•Apr 07, 2017

First three weeks were mostly review, but the fourth week was incredibly helpful. Would appreciate some more background/derivation of the binomial theorem - it was hard for me to develop an intuition for it in the same way I could for the Bayesian theorem.

by Toan T L

•Jun 26, 2018

Great course. Help me to refresh my knowledge on basic maths which is necessary for my following study plan.

by Nilanjan D

•Jul 09, 2017

A great introduction to the basic Mathematics skill needed to start Data Science Career. A must course for does not have the mathematics background required for Data Science.

by saket

•Apr 27, 2017

Awesome Course!

by Felipe C

•Jun 13, 2017

Cool, objective course!

by liqiang

•Feb 13, 2018

This should be my first most completed course on Coursera, although the last quiz overdue. Probability is hard to me, so I've learned a lot during this course, thanks!

by Murali M A

•Aug 27, 2017

Succinct explanation of the basics. Take more time at the Bayes theorem. It is worth it. Work out all the problems and keep reading the PDF notes accompanied with the videos. All in all, a great experience for those who have missed some basic math in earlier education. I am onward to my next course in machine learning and data science. Cheers

by Akhlaq A

•Apr 06, 2018

Excellent

by Hosameldeen S

•Jun 12, 2017

To the Point!