ZurÃ¼ck zu Data Science Math Skills

Bewertung und Feedback des Lernenden fÃ¼r Data Science Math Skills von Duke University

4.5
Sterne
10,906 Bewertungen

Ãœber den Kurs

Data science courses contain mathâ€”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 Bayesâ€™ 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.

Thank you for a great class!!

Filtern nach:

2251 - 2275 von 2,416 Bewertungen fÃ¼r Data Science Math Skills

von Garvit r

â€¢

25. Juni 2020

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

von Ethan R

â€¢

12. Mai 2021

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

von Hariti A

â€¢

27. Apr. 2020

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

Some quiz answers are wrong.

von kavya

â€¢

23. Sep. 2020

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

Good to understand it's useful for us

von Zarmeen S

â€¢

11. Juli 2020

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

von M

â€¢

5. Nov. 2020

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

von Wasin W

â€¢

7. Juni 2020

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

In last weeks, it is new knowledge.

von MichaÅ‚ F

â€¢

30. Aug. 2017

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

von Ismail B

â€¢

21. Sep. 2021

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

von Dhwanil S

â€¢

3. Okt. 2020

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

von Ioana D

â€¢

10. Feb. 2017

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

von Aryan K P

â€¢

15. Mai 2020

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

von Nauan S

â€¢

7. Okt. 2020

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

von Ahmed E

â€¢

28. Juni 2022

Good concepts but too brief. Not for rusty minds. WD40 refreshers needed now and then.

von Rodolfo N R

â€¢

7. Mai 2018

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

von Alexander K B

â€¢

14. Okt. 2020

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

von Devin M

â€¢

25. Jan. 2021

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

von Seyed P R

â€¢

22. Apr. 2020

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

von Claudia G

â€¢

30. Nov. 2022

The final week is hard, maybe is necessary more examples and exercises explained

von Vitaly B

â€¢

28. MÃ¤rz 2021

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

von Maureen v D

â€¢

12. Jan. 2021

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

von Pedro S C

â€¢

11. Jan. 2021

ExplicaÃ§Ãµes rÃ¡pidas e nÃ£o 100% claras e exatas. Exemplos um tanto quanto toscos

von Abdul R

â€¢

23. Dez. 2020

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

von PAWANESH K

â€¢

14. Juli 2020

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

von Juan C D

â€¢

10. Juni 2020

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