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

4.5
Sterne
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!...

Top-Bewertungen

VS
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!

RS
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!!

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1551 - 1575 von 1,863 Bewertungen für Data Science Math Skills

von Claudia R

17. Apr. 2020

Good course. But course material could be improved

von fabio J

21. Sep. 2019

Great introduction / refresh to math & probability

von Jaime M

16. Mai 2017

Muy buen curso como base para el analisis de datos

von Ali N

13. Apr. 2020

Overall, the course was good, but I expected more

von Gilmar N

28. Mai 2020

It lacks some more problem solving explanations.

von SACHIN N P

19. Mai 2020

this course is useful to get the logic of maths.

von James M

31. März 2018

great introduction and refresher to maths skills

von MYO T H

24. Mai 2020

Probability Course is difficult to understand

von Joshua C

29. Aug. 2017

The first three chapters are relatively easy.

von Anshul v

30. Mai 2020

interesting and learning more inside course.

von Ellen H

26. Apr. 2020

Good examples and illustration. Good tests.

von Belen R R

26. Okt. 2019

A veces las explicaciones no son tan claras

von milly

20. Aug. 2020

Good but need more informative information

von Monish M P

7. Juni 2020

Good it was perfect for beginners like me.

von Faizia M

4. Sep. 2020

This is helpful for gaining a knowledge..

von Pitipol C

12. Aug. 2020

The second part was a bit short and fast.

von SAROJ K S

16. Juni 2020

its nice to understand the logic of math.

von PATHLOTH P K

18. Mai 2020

Teaching and explainations are quite good

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.