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Kursteilnehmer-Bewertung und -Feedback für Data Science Math Skills von Duke University

9,661 Bewertungen
2,188 Bewertungen

Über den Kurs

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!...


16. Mai 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)

22. Sep. 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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2051 - 2075 von 2,182 Bewertungen für Data Science Math Skills

von Ioana D

10. Feb. 2017

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

von Aryan K P

15. Mai 2020

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

von Nauan S

7. Okt. 2020

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

von Rodolfo N R

7. Mai 2018

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

von Alexander K B

14. Okt. 2020

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

von Devin M

25. Jan. 2021

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

von Seyed P R

22. Apr. 2020

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

von Vitaly B

28. März 2021

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

von Maureen v D

12. Jan. 2021

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

von Pedro S C

11. Jan. 2021

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

von A R

23. Dez. 2020

The course is not explained as I was expecting. Graded question is very tough.


14. Juli 2020

A good platform for online study material and best experience teaching methods

von Juan C D

10. Juni 2020

Take this course as a review but not to learn the data science skills needed

von Josef B

16. Nov. 2020

first half of course explained very well; not so for second half of course.

von G T

1. März 2017

The material is very useful, however, the second teacher is not the best...

von Abdullah I R

25. Sep. 2021

Week 2, Week 3, week 4 topics were not explained with enough examples.

von Gaurab R

6. Sep. 2020

Week 4 is poorly designed. Concepts are not clear. Please redesign it.

von abid g

8. Sep. 2020

Course lacks many details especially differentiation and integration

von BT20MEC113_Surya P

28. Jan. 2021

Very basic course. Need some more challenging and advanced theory.

von Moin u

10. Mai 2020

The course topics were good. But the video lectures were not good.

von Lena S

4. Juli 2021

T​he first two weeks are great, the rest deteriorates in quality.

von abinaya R

7. Mai 2020

probability was not taken properly and many portions are missing

von Federico V

26. Jan. 2018

It is more of an "appetizer" than a whole self-contained "meal".

von Fatima Z B

29. Juli 2020

is a good class but is hard for me I will try again but not now

von Ochilbek R

7. Mai 2020

The probability part (Week 4) was disastrous. But rest is okay.