ZurÃ¼ck zu Data Science Math Skills

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

4.5
Sterne
10,907 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!!

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## 2301 - 2325 von 2,418 Bewertungen fÃ¼r Data Science Math Skills

von Bola T

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2. Juni 2017

last week is not good at all i didn't get it all

von Piyush G

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13. Sep. 2018

Probability concepts could be more descriptive.

von Abhijay R

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23. Okt. 2021

The last topic was explained for shorter time

von Pavel S

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31. MÃ¤rz 2020

I think some basic statistics should be added

von Asma S

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8. Sep. 2021

Week 3 and Week 4 needs to be more in depth

von SHOURYA Y

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9. MÃ¤rz 2021

The videos were a bit tough to understand.

von LATIFF E

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23. Jan. 2021

The teaching does not feel very intuitive.

von Ruben L

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19. Juni 2020

La parte de probabilidad no esta muy clara

von Shekh R

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18. Sep. 2020

Give right information about the subject

von Dixit K

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29. Apr. 2020

It is good for refreshing your concepts

von Colin X

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14. Juli 2020

Last part, part 4 needs improvement.

von ahmed s

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29. Nov. 2019

the lectures of last week r very bad

von Cristian V

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29. Aug. 2022

strong beginning, weak ending.

von THOTAKURA B

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25. Aug. 2020

It is not that much effective.

von Binoy K P

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6. Juli 2020

T%his course is purely basic.

von Sai

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19. Juni 2020

good course but expected more

von Aydar A

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28. Aug. 2017

too superficial to be usefull

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11. Jan. 2019

1st 2 weeks were very basic.

von Vijay G

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12. Juli 2020

Great mathematical analysis

von Snigdha G

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13. Okt. 2020

Can I get a Certificate?

von Hugh J

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27. Sep. 2020

Needs more statistics

von Elvin G

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19. Okt. 2018

It is too low level

von Korkrid A

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27. Apr. 2018

Good for beginners.

von Vikas G

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17. Juni 2020

Fantastic teaching

von PARDESHI R H

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17. Mai 2020

Very useful course