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

4.5
stars
11,647 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)

VS

Sep 22, 2020

This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!

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1701 - 1725 of 2,586 Reviews for Data Science Math Skills

By Jonathan D E G

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Apr 19, 2020

It was a great course, I really believe that I learned a lot. However, I have to say that the last part about probability I did not find it very easy to understand as the other 3 so, I had to search for more information outside the course, that is why I give 4 starts.

By Zekeriya Y

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May 9, 2021

All in all, I Iiked of the explaining style of the first instructor but It is not covered deeply the topic especially probability. The explaining of the probability was not sufficient to grasp the fundamental of the subject. Irrespective, it is a fine course to take.

By Mandeep S K

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Apr 4, 2020

An all in all easy course to follow for the first three weeks, however the last week could have been more elaborated since that touches upon the most important concepts of probability. Rest it is a good course for anyone to brush up his or her mathematics skills.

By C E

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Feb 4, 2018

Is a great course for the most part. However, as it gets toward the more complicated concepts there are expanding holes in the explanations and the homework. Students enrolling in this course need to be ready to teach themselves more as the material progresses.

By Joyce C

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May 14, 2023

This was an interesting course. The first few modules were good for reviewing some skills and thinking about them in a new way. I was glad the course also included an introduction to Bayes' theorem, I've always been curious about what it was and how it was used.

By Bianca B

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May 4, 2021

Great content except for Week 4. Wish the whole course were taught by Professor Bendich, he does a great job of explaining the concepts and adding a touch of humor. Overall, satisfied with what I learned yet extremely frustrated with Probability and Statistics.

By Bradley V

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May 16, 2020

Good course and well explained material with thoughtful questions that test your knowledge. Lost a star due to some of the tests having poorly formatted questions with regards to rending some of the mathematical functions which makes the experience frustrating.

By Harish S R

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Jun 17, 2021

Course syllabus is great. Week 1 to 3 was great with interesting material of the set theory, real numbers, basic statistics and so on are quite well explained but Unfortunately Week 4 probability is shallow and quite confusing. It lacks some real-life examples

By Jagadeesh D

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Sep 8, 2020

The course is so good, I just realized how easy the basic Math is (functions, permutations and combinations, and probability). Explained so nicely and clearly. I would've given 5-star if the Bayes' theorem and Binal theorem section provides a bit more clarity.

By Shelley O

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May 25, 2020

Enjoyed the course, found week 4 to be highly difficult compared to weeks 1 to 3. Some of the notation in the quizzes are not in the proper format, making it difficult to read formulas. Otherwise, it was great. Thanks to the professors for putting it together.

By Nirmalya S R

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May 18, 2020

I have learnt a lot from this course. Your contents are more important than the certificate but i am also felt so validated for providing the certificate. Thank you so much Coursera community as well as Duke university for the online course & i really mean it

By Marco R

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Nov 28, 2020

The first week had a lot of corrections, despite that, the information was very good and the support material too. The last week module is by far the hardest, yet I feel that the test was completely fair, and it was up to me to correctly apply what I learned

By Fernando B

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Aug 7, 2020

I learned something new, actually a lot however it was a challenge to keep up with the scribbling. Some of the writing got confusing especially when they tried using the symbols. I may need to take it all over again to gain the confidence I need. Thanks

By shaleen s

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May 2, 2020

A well-designed refresher course. I learned the significance of different mathematical quantities, and how to realize theorems in day to day life. Also, quizzes contained questions of various types which helped to build a better approach to any question.

By Lisa Z

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Jan 25, 2021

Week 4 was fairly difficult and could have been explained a bit better with more examples. Additionally, the second test from week 4 did not provide any feedback, which is essential to understand ones mistakes. Please rectify that for future students.

By Carla M

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Apr 16, 2020

The first half is excellent. The second half, with the second teacher, is hard to follow, given that the explanations are much more theoretical, and the quizzes are harder than the videos exercises. But it helped me with basic concepts, I enjoyed it.

By Michael N

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May 21, 2017

Although I previously studied these things I have long forgotten them or they WAY I was taught them previously was incompatible with Data Science in general. Do this course first if you want to start data science and your maths needs some work.

By Mohit S

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Mar 21, 2020

I have been struggling with probability till now but now my understanding of probability especially conditional probability and Bayes Theorem has improved significantly. Also, I never knew what e actually meant, which I learned in this course.

By Suyog B

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Oct 16, 2017

Course is simple yet difficult. It explains most of the concepts in simple way but the assignments are pretty hard to solve :) overall makes perfect foundation and provide necessary skills for data Science. More focus on derivatives will help.

By David

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Aug 1, 2020

The last week is very abstract and not very well explain but the rest of the class if pretty good but i feel like i've learned superficialy math skill for ML because i didn't see the intergral, funtional analysis, linear algebra in depth etc.

By Samuel S

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Mar 25, 2020

Quite interesting. Some of the quizzes have questions with "tricks". Questions should be straightforward, IMO, so that it's the content of the course, not intepretation skills, that are subject to evaluation. All in all, extremely worthwhile.

By Ganesh J

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Nov 10, 2018

I leaned a lot especially in probability. But I had to search around various other resources before I got the hang of Bayes theorem. Also a tree diagram approach to both conditional and Bayes theorem will help get to the understanding faster.

By Ervandio I A

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Sep 17, 2020

Some section are easy to understand, but some others not. Especially in the probability & bayes theorem section. This section is like compressing hours of lecture into 30 mins video. For advice, maybe it is necessary to add more example.

By Carlos L

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May 26, 2020

The learning curve was a little bit unbalanced. I think would be better to spend more time with probabiliy instead simple cartesian concepts. Besides I miss for sure linear algebra since the course its called Data Science Math Skills.

By Giannina Z

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Jun 19, 2020

I enjoyed this course and would have given it 5 stars if it were not because of the material in Week 4 and how poorly it was explained. Apart from that, great class to take if you have not reviewed relevant math concepts in a while.