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

4.5
stars
12,066 ratings

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

AS

Jan 11, 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)

VC

May 16, 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)

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2451 - 2475 of 2,666 Reviews for Data Science Math Skills

By Neha B

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Feb 3, 2018

the course was really good. I just hope that we can get more practice questions in between the lectures so that we can understand the concept more precisely and deeply.

By dax e

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Jan 9, 2023

The video were simple and easy to follow for the first lessons. Hower more video about probability will be very useful about bayes theorem, Binomial and Product rule

By B L

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Oct 18, 2020

Good course, but week 4 lecture video quality not as good as the preceding 3 weeks.

In my opinion, probability course in week 4 needs further lectures and examples.

By Naveen K

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May 25, 2020

The course would have been better if little more elaboration would have been done for the final week but nevertheless it was a wonderful course to have completed.

By Madara I

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Apr 6, 2020

In lot of places formulas is not shown in tests. Last section about probability had really hard questions in tests, more examples in lessons would be better.

By Marie r

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Oct 20, 2020

I had a hard time with the quizzes in the fourth week and could not find help in the given information. But i really enjoyed the focus on correct notation

By Thomas R

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Dec 23, 2021

There should be more discussion in the video lectures to how these topics relate to real world data science scenarios to apply the mathematical concepts.

By Deleted A

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Jun 25, 2020

The probability module, i.e. Chapter 4, was explained very obscurely and I needed to spend extra time looking for information to understand the concepts.

By Arvind A P

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Jun 25, 2020

First 3 weeks were quite easy and everyone will get it but for the 4th week concepts are not explained properly and very tough problems added for quiz

By Sujoy D C

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Jan 19, 2019

Overall it's a good one. In Math part I liked it a lot but in Stat I think Prof should explain a bit more in depth and the content is not good enough.

By Brian P

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Jun 22, 2022

I really enjoyed the course, but I really would have appreciated more example problems and their solutions, particularly in the probability section.

By T x

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Jun 12, 2020

I would like to see more useful tools like Excel, real world examples, practice exercise. Weeks 1-3 were great, Week 4 module needs some real work.

By Roger V

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Jun 18, 2020

I expected more from the course, like better presentation (slides or something like that) and the first 3 weeks are much more basic than I expected

By Yonax L

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Jun 2, 2020

Quizzes are way more difficult and different than what was taught in the lecture videos and readings. (This apply the most to the last week module)

By Francisco G

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Sep 28, 2020

Explanations for last two modules are somewhat confusing. I had to consult other materials and read discussion forums in order to understand.

By Robert M

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Aug 17, 2020

This is a review course. If you're learning these concepts for the first time it will be difficult as the pace and depth are not on point.

By Juan T

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Aug 17, 2021

Extremely basic at start and then ramp up too fast. Videos of the 3rd and 4th week were poorly descriptive and add little or no concepts

By Stephanie M

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Jul 5, 2020

Modules 1-3 were great. But the 4th module on probability was not only very difficult but I finished the course still not understanding.

By H2. A

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Feb 7, 2019

The material covered was very useful for a beginner/intermediate course, however, the style of the presenters was not always very clear.

By Nafiseh G

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Aug 8, 2022

The first 2 weeks tought organized and simple but weeks 3 and 4 are getting harder and he passed through complicated concepts so fast.

By Maximilian T

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Dec 16, 2021

pretty ok - don't know if thats the math you need for data science... The last part about probabilities was quite interesting for me.

By Darren K

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Jul 31, 2024

The course was great until logarithms and probability, which were taught quickly and in a confusing manner with poor module notes.

By Cayce H

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May 16, 2023

The first 3 sections were very well done, but the last one felt very disjointed and a lot of things were not explained clearly

By Michael O

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Apr 22, 2021

First two weeks are excellent but the last two are difficult to follow with little assistance to make it easier to understand.

By Leon L

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Dec 12, 2017

it's the foundation for data science, but these contents are too simple. I think it's not enough for a good data analyst.