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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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1751 - 1775 of 2,586 Reviews for Data Science Math Skills

By Brent B

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Nov 26, 2022

Good course. The probability portion is very challenging. Dr. Eggers is a tremendous instructor, but I did not feel adequately prepared for the some of the practical application in the quizzes.

By Allakhverdov R

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Jul 2, 2021

Excellent course. Among the disadvantages, I can note that I did not have enough comments on the solutions to the problems that were proposed at the time of testing. More precisely, feedback.

By Deepa B

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Jun 7, 2020

This course was very easy to understand, though I think week 4's context required more examples. Overall, it was a concise course for brushing up basic math skills required for data science.

By Paul B M

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Sep 16, 2017

Good refresher. Weeks 3 and 4 are much more difficult to follow than one and two. Part of this is due to the subject matter but also a change of teacher / and style makes it more difficult.

By Robert W

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May 28, 2020

There are a lot of different topics in this course and I feel that more experimental examples and longer lectures that are more coordinated within the module. It was a good review, however.

By Maej M

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Aug 3, 2017

Loved it! Started off easy but got a little tricky in the end with Bayes Theorem. Glad I know which data / math areas I need to brush up on for my job. Thanks, Duke University and Coursera!

By Christos G

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Dec 21, 2020

Well explained concepts most of the time but towards the end, things are harder, and explanations not very detailed along with quizzes that the lessons have not prepared you appropriately.

By Katesopon K

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Jul 15, 2019

sometime the lecture is too easy to understand and after some week it goes too hard to understand even it not a hard thing but sometime the lecturer make it so hard so it can make confuse.

By Anna-Kristina P

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Feb 8, 2018

A great review of A level statistics which I had long since forgotten but suddenly found myself needing again. A really good balance of work through the weeks and at just the right level.

By Md. S I P

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Jun 16, 2020

It started with very basic and gradually it lead me to work more hard and think thoroughly. Quizzes was very good and week 4 was kinda tough for me, but I managed it. It was hard but fun.

By navin r

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Jul 5, 2020

It was quite good learning online and it helped a lot to learn Mathematics, I am bit confuse that how would l use this knowledge into data science ? overall reading learning was amazing.

By Choudri V

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May 9, 2020

I like all the video lectures more and gives me more ideas to recollect the ideas.. Week 4 videos little more to be improved with other set of examples to make the concepts more clear

By Stanislav V

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Feb 11, 2018

Course is really good for beginner who wants to start career with data. Especially is possible understand everything by video companion which explain math skills in practice exercises.

By Raheleh Y

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Nov 10, 2021

The topics were selected very useful and compact but the videos especially the colors of pen tools that was used during lesson was not suitable and it was hurting somehow to the eyes.

By Bruno S

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Aug 21, 2020

A dificuldade dos últimos questionários (semana 4) não condiz com o conteúdo ministrado em aula, tirando esse detalhe, o curso ajuda a relembrar conceitos de uma forma bastante clara.

By Thủy

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Jul 15, 2020

I find this course really helpful with explanation of concepts and definitions. I would like the probability module to have more example exercises though. I really need more examples.

By Fakhre A

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May 14, 2020

I love this course. I have gained lot's of knowledge by completing this course. I would recommend who want to develop their career in the field of data science should use this course.

By Prishanga B

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Jun 14, 2018

Could have a little more of theory on how to solve the problems. But otherwise a good understanding of the basics of the statistical and probability maths required for Data Analysis.

By Saule K

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Sep 7, 2020

I did not like the last week, I have tried to help on the forum with answers, but even me with a solid back ground in probability thinking that it must be explained in a better way

By Vaibhav K

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Jul 14, 2020

Quite useful especially the last few probability sections with a focus on Bayes' Theorem. My key takeaway was Bayes' Updation which I had hitherto ignored. Good introductory course.

By Cindy Y

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Jan 29, 2021

Decent. Don't think a lot of this translates directly to data science but it's a good foundational math class. Probability section was the hardest because it wasn't explained well.

By Huzaifa M S

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May 16, 2020

Overall the course is very good. Although there are some errors like a few questions in the quiz are wrong. And in the last week probability is poorly taught. Otherwise, it's good.

By Muhammad E

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May 8, 2020

nice course but very introductory nothing further, a good catch for someone with very little math skills and thinking about getting him/her self ready for a career in data science

By Praveen K

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Sep 8, 2020

The course was very nice, the only complain I have was it was a bit too basic for the first three weeks, it became a lot more interesting and a bit challenging in the 4th week.