Chevron Left
Zurück zu Data Science Math Skills

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

8,318 Bewertungen
1,879 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!...


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!

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:

1501 - 1525 von 1,863 Bewertungen für Data Science Math Skills

von N A S R

16. Juni 2020

this was nicely designed course,and made me re learn many concepts

von Tanmay S

27. Mai 2020

This is a great course to start with for Data Science Mathematics.

von BogdanC

19. Nov. 2019

great course, would be great to have a follow-up with more content

von Kaung M W Y

10. Mai 2020

The quizzes are hard compared to the explanations in the videos.

von fulvio c

24. Okt. 2019

It's a very intersting training in order to refresh your memory.

von Yiwen G

28. Juli 2017

A little bit easy if you have solid high school math background.


22. Mai 2020

Good explanations and brief presentation of Important concepts.

von Navratan S

12. Mai 2020

I have enjoyed this course and learn about data science skills.

von Gina L

17. Dez. 2017

the course overall was good -- the probability section was hard

von Andrea V

11. Dez. 2017

Good introduction to a few concepts that permeate data science.

von Suresh T

21. Apr. 2017

probability theory was a bit fast but otherwise it was awesome!

von Priyanka V K

24. Sep. 2020

Very much understanding !! It's good....guys go and check out

von Rahul P

25. Juli 2020

Great course for basics math and introuduction to probablility

von Patrick C

7. Juni 2020

Insightful course. Would recommend to anyone within the field.

von gouraV S

24. Mai 2020

It's great pleasure to enjoy such course from respected sir's.

von Habibie A

5. Mai 2020

Well informed and structured sample case approach to real life

von Shashank S

17. Juni 2020

Good Course to understand the Maths behind Machine Learning.

von Maria

10. Juni 2020

Great course, but hard to understand without math background

von Parth R

20. Apr. 2020

Last Week was bit confusing and not clear. Rest it was good.

von Animesh S

16. Juni 2017

Good Course. The probability section needs some improvement.

von vaibhav m

3. Nov. 2020

probablity part could be explained more with more examples.

von Selvaganapathy

28. Juni 2020

very steep learning curve, but good info on lot of formulas

von Ahmed O B

7. Feb. 2019

More exerciser required. Specially in probabilities theorem

von Pratima D

4. Feb. 2018

The most fundamental course explained in the most easy way.

von Benitta P

17. Sep. 2017

The Bayes theorem and binomial theorem needs more examples.