Chevron Left
Zurück zu Data Science Math Skills

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

8,374 Bewertungen
1,889 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)

5. Mai 2020

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!!

Filtern nach:

1576 - 1600 von 1,870 Bewertungen für Data Science Math Skills

von Raghu R P

11. Juli 2018

Very good refresher course on Probability

von Shreyas M S

11. Juli 2020

Week 4 content is not explained properly

von Taisa V

6. Juni 2020

It was great introduction to math world.

von Akashdeep S

5. Juni 2020

all is good but improve probability part

von Saira M

4. Apr. 2020

This is really very beneficial for me...

von Suyogya M B

17. Apr. 2020

excellent course for beginners like me.

von Amir G

11. Juli 2019

Nice but It was obvious and easy stuff.

von Soumya R R

11. März 2019

Too good content and practice sessions.

von Dini L M S

29. Mai 2020

I'm so happy can follow this course :)

von Rajamanikam

30. Juni 2020

Course Tutors are teaching nicely :)

von Barsha K

5. Mai 2020

Overall good, little tough on week 4

von Pheello M

29. Apr. 2020

Good course and supporting materials

von Thai H D

14. Juli 2020

very useful for building foundation

von Ziyu

9. Juni 2020

the last unit is a bit confusing...

von Praveen S K

15. Mai 2020

Some concepts not explain properly.

von Sidharth S

20. Apr. 2020

Thanks for this awesome course sir.


5. Mai 2020

A good course for math begianers

von hafsa s

13. Apr. 2020

Great for a review of the basics

von Hein Z

6. Nov. 2018

Nice start math for Data Science

von pj v

18. Nov. 2020

good to improve the math skills

von Nsenga S

29. Juni 2020

This course is very interesting

von Ahmar H K

23. Apr. 2020

Probability part was difficult.

von 郑昕妍

6. Mai 2017

very coherent class! Thank you!

von Parimal M

1. Mai 2020

Content was really helpful !!

von Mahmoud H

12. Juli 2020

Great content, Well done !!!