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

4.5
Sterne
8,013 Bewertungen
1,809 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

RS

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!!

VC

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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1601 - 1625 von 1,798 Bewertungen für Data Science Math Skills

von Seshadri p S p

Apr 22, 2020

Good one

von PREETI

Jun 05, 2020

Amzing

von Ashish K S

Mar 11, 2019

better

von aankitakaur

Aug 29, 2017

Thanks

von Sujan K

Jul 05, 2020

great

von karri D R

Jun 17, 2020

great

von ALOKE R B

May 28, 2020

Great

von Paurush K

May 04, 2020

great

von Prerna S

Jul 10, 2020

good

von NAGRAJ K

Jul 06, 2020

good

von Nishant S

Jul 04, 2020

nice

von Perumali S

Jun 27, 2020

good

von LIJIN W

Jun 16, 2020

Nice

von AVINASH K

Jun 09, 2020

Nice

von Labib U

Jun 07, 2020

good

von AVALA S

Jun 02, 2020

Good

von Sunil R

Jun 01, 2020

Gooo

von Mitesh M

May 13, 2020

good

von TEJASWINI D

May 07, 2020

GOOD

von Prateek

May 04, 2020

good

von SREERAM S

Apr 10, 2020

good

von Jay Y

May 07, 2020

.

von Amin A

Sep 04, 2019

.

von Nagaraj A M

May 09, 2019

.

von Brendan S

May 06, 2017

I definitely learned a lot in this course, and, as someone who has historically avoided mathematics, I think it is a fairly good introduction to these concepts for people at my level. However, I think the course was somewhat inconsistent. The final module could really use some more explanation and examples. Probability is a very abstract field, and it can be difficult to take real world examples and translate them into formulas. I think that the module would benefit greatly from spending some extra time on translating english-language situations into formulas. There were also some non-trivial errors in the videos that need to be corrected. Overall, I'm pretty happy with the course but I think it doesn't yet fill out its potential.