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

7,841 Bewertungen
1,770 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!...



May 06, 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!!


May 17, 2020

Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)

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1451 - 1475 von 1,755 Bewertungen für Data Science Math Skills

von Sasha L

Sep 21, 2017

still difficult to apply the theory to real life examples

von Terri B

Jun 01, 2018

More practice problems would have made the course easier

von Jennifer M

Mar 09, 2018

A great fast introduction into Data Science Math Skills.

von Mohamed M A M

Apr 18, 2017

Great course except for the instructor videos for week 4

von Lisda L

Jun 02, 2020

I hope detail reading can have example at video, thanks

von M M

Sep 10, 2019

Explanations need to be at the same level as assessment

von kaviarasu R

Dec 16, 2017

EveryThing is okey but probability session is not good.

von Kushal K R k

May 21, 2020

Very useful and uses this knowledge to improves better

von Sheikh U U

Apr 15, 2020

Perfect foundation course for maths skills enhancement

von Mohit K

Jun 02, 2020

This course helps in probability, Binomial, Sets etc.

von Ayush Y

Apr 12, 2020

It provides very good knowledge and in very easy way

von Santiago G B

Jul 02, 2020

Grat lessons but lack of examples during de videos.

von Gloria P

Jul 29, 2020

Very engaging instruction and interesting content.

von Kaue C C

May 10, 2020

Great introductory course for people outside STEM.

von Mohammed M

May 05, 2020

thx you i have learned alote from this Coutsera...

von Claudia R

Apr 18, 2020

Good course. But course material could be improved

von fabio J

Sep 21, 2019

Great introduction / refresh to math & probability

von Jaime M

May 17, 2017

Muy buen curso como base para el analisis de datos

von Ali N

Apr 13, 2020

Overall, the course was good, but I expected more

von Gilmar N

May 28, 2020

It lacks some more problem solving explanations.


May 19, 2020

this course is useful to get the logic of maths.

von James M

Mar 31, 2018

great introduction and refresher to maths skills

von MYO T H

May 24, 2020

Probability Course is difficult to understand

von Joshua C

Aug 29, 2017

The first three chapters are relatively easy.

von Anshul v

May 30, 2020

interesting and learning more inside course.