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.

필터링 기준:

교육 기관: Praneet N

•Mar 05, 2018

good one

교육 기관: Mykyta P

•Sep 16, 2017

Great course! Thanks a lot!

교육 기관: Faraaz H

•Feb 25, 2018

Nice course which could help one revise all studied at junior level.

교육 기관: jerry

•Feb 27, 2017

Am glad and happy

교육 기관: Kent D J

•Aug 09, 2017

This class was great. I really recommend it, especially if you are new to mathematical concepts.

교육 기관: Damian S

•Sep 07, 2017

A very concise and well planned course. The notes were particularly helpful.

교육 기관: jyxdcr

•Nov 20, 2017

easy

교육 기관: Daryna S

•Aug 14, 2017

This is a real good and inspirational start in data science education, especially for people, who have some fear of math (like me:)). This course is enough complicate to learn something new, but simultaneously not too hard, so you dont loose motivation for studying.

교육 기관: Frank G

•May 29, 2017

very nice course, and a good starting point to catch up data science and computer science math-skills. Helps to bring some of those rusty concepts back into memory, and from there you can expand further ...

교육 기관: Benjamin L

•Apr 26, 2017

A tremendously useful primer on the fundamentals of data science math. This course is a particularly good option for individuals who have seen some amount of calculus and algebra but haven't used those methods in a long while and need to review. Thorough, easy-to-understand material.

I would suggest to the course facilitators that they develop the provided lecture notes -- already a useful tool -- into a full-fledged text. I'm not suggesting something much longer than what they already have, but simply taking that document and adding a bit more rich content. While the notes are useful for more carefully studying the math being done in the lectures, even a bit of effort putting some pedagogy into the notes and combining them into a single document (which I did for the sake of printing) would create a hugely valuable resource.

교육 기관: Yudong

•May 07, 2017

An enlightening course!

교육 기관: vimard v

•Aug 16, 2017

Great course, many examples, good teachers

교육 기관: A

•Nov 12, 2017

good

교육 기관: Gregor M

•Jul 26, 2017

Thank you for this teaching experience. It was very useful for my life and career

교육 기관: Mukhammad K

•Feb 10, 2017

good materials and questions

교육 기관: Shashank K

•Oct 05, 2017

The Basics were covered pretty nicely. The instructors had given it their all to explain the concepts. The tests did test you pretty well on the concepts you learnt from the videos

교육 기관: Mehmet A U

•Jan 06, 2018

Awesome!!!

교육 기관: Toniya

•Sep 07, 2017

It really was helpful

교육 기관: Zito R

•Jan 27, 2017

Great refresher course on the math used in data science!

교육 기관: Deleted A

•Jan 22, 2017

I loved this class, the only one of it's kind and much needed, unless you particularly want to re-do your long forgotten high school and college math. It was nice seeing a Venn diagram again. I did have to supplement some of the material that was covered quickly with google searches, but filling in the blanks was quick and easy.

교육 기관: yjm

•Jun 14, 2017

a good refresh course

교육 기관: Audi L

•Feb 28, 2017

A fantastic course for anyone

교육 기관: little7dragon

•Apr 18, 2017

Great Course!!!!!

교육 기관: Peng C

•Jun 26, 2017

very good course. clearly explained and good examples!

교육 기관: Kangmin L

•Apr 17, 2018

The first three weeks are pretty easy high school math. The last week is very informative and helpful.