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Learner Reviews & Feedback for Data Science Math Skills by Duke University

4.5
stars
8,054 ratings
1,819 reviews

About the Course

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!...

Top reviews

VC

May 17, 2020

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)

RS

May 06, 2020

This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.\n\nThank you for a great class!!

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1451 - 1475 of 1,805 Reviews for Data Science Math Skills

By Deep R S

May 29, 2019

Course contained simple maths, algebra, summation, mean and variance

By Ravindra G

Jun 09, 2020

Very well designed with plenty of examples for better understanding

By Vivien P

Nov 28, 2018

Great course to be back on tracks with mathematics and probability.

By Alman G

Aug 19, 2020

Really is through a provoking course, as how many ways to estimate

By Saurabh S

Jul 15, 2020

Overall, a good course. Could do with some more detailing, though.

By N A S R

Jun 16, 2020

this was nicely designed course,and made me re learn many concepts

By Tanmay S

May 28, 2020

This is a great course to start with for Data Science Mathematics.

By BogdanC

Nov 19, 2019

great course, would be great to have a follow-up with more content

By Kaung M W Y

May 11, 2020

The quizzes are hard compared to the explanations in the videos.

By fulvio c

Oct 24, 2019

It's a very intersting training in order to refresh your memory.

By Yiwen G

Jul 28, 2017

A little bit easy if you have solid high school math background.

By DANGARWALA R K

May 22, 2020

Good explanations and brief presentation of Important concepts.

By Navratan S

May 12, 2020

I have enjoyed this course and learn about data science skills.

By Gina L

Dec 17, 2017

the course overall was good -- the probability section was hard

By Andrea V

Dec 11, 2017

Good introduction to a few concepts that permeate data science.

By Suresh T

Apr 22, 2017

probability theory was a bit fast but otherwise it was awesome!

By Priyanka V K

Sep 24, 2020

Very much understanding !! It's good....guys go and check out

By Rahul P

Jul 26, 2020

Great course for basics math and introuduction to probablility

By Patrick C

Jun 07, 2020

Insightful course. Would recommend to anyone within the field.

By gouraV S

May 25, 2020

It's great pleasure to enjoy such course from respected sir's.

By Habibie A

May 05, 2020

Well informed and structured sample case approach to real life

By Shashank S

Jun 17, 2020

Good Course to understand the Maths behind Machine Learning.

By Maria

Jun 10, 2020

Great course, but hard to understand without math background

By Parth R

Apr 20, 2020

Last Week was bit confusing and not clear. Rest it was good.

By Animesh S

Jun 16, 2017

Good Course. The probability section needs some improvement.