Chevron Left
Zurück zu Data Science Math Skills

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

4.5
Sterne
10,546 Bewertungen

Ãœber 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.

Thank you for a great class!!

Filtern nach:

251 - 275 von 2,366 Bewertungen für Data Science Math Skills

von Monish K

•

16. Juli 2020

von Syeda I F

•

24. Apr. 2020

von Vikas K M

•

24. Juni 2021

von Bahareh A

•

9. Nov. 2020

von Pranav T V

•

13. Sep. 2017

von Rahmita D K

•

13. Aug. 2021

von Peter A

•

4. Juni 2021

von Michaela B

•

11. Mai 2021

von ushan m

•

1. Feb. 2021

von Yahya M

•

12. Okt. 2020

von Viktoriia A

•

21. Juli 2022

von Carlos E C

•

12. Juni 2021

von Julie K

•

3. Juni 2020

von Nisha P

•

22. Mai 2020

von Pablo A U A

•

6. Jan. 2021

von Juan V

•

17. Juli 2020

von Aftab A

•

20. März 2019

von Sanket G

•

29. Apr. 2020

von Bhuman S

•

2. Aug. 2022

von Abraham E C

•

4. Mai 2020

von Abhisek s

•

1. Mai 2020

von Enes S

•

3. Sep. 2020

von Megala j

•

5. Juni 2020

von vivek m

•

5. Feb. 2017

von Kasuntha M

•

30. Jan. 2021

Coursera Footer

Starten oder fördern Sie Ihre Karriere

Beliebte Themen durchsuchen

Beliebte Kurse und Artikel

Abschluss oder Zertifikat online erwerben

Coursera

Community

Mehr

Ãœberall lernen
Placeholder
Placeholder
Placeholder