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學生對 杜克大学 提供的 Data Science Math Skills 的評價和反饋

10,206 個評分
2,280 條評論


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!...




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!



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!!


2126 - Data Science Math Skills 的 2150 個評論(共 2,280 個)

創建者 Manish G


The last module could have been done better. More examples to be included for explaining probability problems.

創建者 L J


the first two weeks were brilliant, but I had a really hard time comprehending the 3rd and 4th week material.

創建者 Paola G


Thee explanation of week 4 was not comprehensive and the quizzes were too complicated for what was covered.

創建者 Ammar E M


I notice that the quizzes questions not reflect 100% to what we got already !, However, the course great

創建者 shai z


its ok, i felt the statistical part wasnt explained well, and went from pretty easy to hard too quickly

創建者 Garvit r


i am giving 3 star just because of professor efforts .Difficulty level of this course is not of level

創建者 Ethan R


Goes through the basics, but the last part with the most important information was not very helpful.

創建者 Hariti A


Some points in probability was not clear and doesn't been explicit.

Some quiz answers are wrong.

創建者 kavya


I completed the Course but I didn't receive certificate..

Good to understand it's useful for us

創建者 Zarmeen S


The course should be improved from last topics with simple examples. It was good at the start.

創建者 M


The course might not be entirely introductory. Part of it was breezed through very quickly.

創建者 Wasin W


In first 3 week, i learned berfore, so i can understand.

In last weeks, it is new knowledge.

創建者 Michał F


Basics knowledge, i liked first part about functions, but second was not quite good for me.

創建者 Ismail B


It would be easier to understand if more example problems and solutions would be provided.

創建者 Dhwanil S


There is no practical usage of it. There can be a project which shows its practical usage.

創建者 Ioana D


The Probability section could use more practical examples, I found it difficult to follow.

創建者 Aryan K P


Good for those who have not taken any maths since 10th grade, else it would be too easy.

創建者 Nauan S


The last week (Probability) has terrible lectures. They are anything but comprehensive.

創建者 Rodolfo N R


Last quiz is very hard and course does not provide the knowlege needed to resolve it.

創建者 Alexander K B


The entire course would be much more enjoyable if Paul B. taught all of the modules.

創建者 Devin M


Some topics in week 3 especially 4 need some work. 1 and 2 were very helpful though

創建者 Seyed P R


Quite good but so many errors in the presentation that it was distracting at times.

創建者 Vitaly B


Probability portion of this course was not as clear, felt it was rushed through.

創建者 Maureen v D


Final probability section is very confusing with no support from the instructor.

創建者 Pedro S C


Explicações rápidas e não 100% claras e exatas. Exemplos um tanto quanto toscos