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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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1726 - 1750 von 1,798 Bewertungen für Data Science Math Skills

von Piyush G

Sep 13, 2018

Probability concepts could be more descriptive.

von Pavel S

Mar 31, 2020

I think some basic statistics should be added

von Ruben L

Jun 20, 2020

La parte de probabilidad no esta muy clara

von Shekh R

Sep 19, 2020

Give right information about the subject

von Dixit K

Apr 29, 2020

It is good for refreshing your concepts

von Colin X

Jul 14, 2020

Last part, part 4 needs improvement.

von Ahmed S H H

Nov 29, 2019

the lectures of last week r very bad

von THOTAKURA B

Aug 25, 2020

It is not that much effective.

von Binoy K P

Jul 06, 2020

T%his course is purely basic.

von adapa m

Jun 19, 2020

good course but expected more

von Aydar A

Aug 28, 2017

too superficial to be usefull

von Prasad K

Jan 11, 2019

1st 2 weeks were very basic.

von Vijay G

Jul 12, 2020

Great mathematical analysis

von Snigdha G

Oct 13, 2020

Can I get a Certificate?

von Hugh J

Sep 28, 2020

Needs more statistics

von Elvin G

Oct 19, 2018

It is too low level

von Korkrid A

Apr 28, 2018

Good for beginners.

von Vikas G

Jun 17, 2020

Fantastic teaching

von PARDESHI R H

May 17, 2020

Very useful course

von Shanmuga P

Feb 23, 2018

Good!!

von MUTHU A P S

Jun 07, 2020

good

von Carolin K S

Jul 21, 2020

This class fails to give a single explanation as to how the math skills will apply to data science. The first three weeks are a nice basic explanation of some of the math that will be needed. If you haven't done coding before or have some background in coding, you will have no idea where this class is going to be applied. The fourth week is the worst explanation of probability you can imagine -- opaque derivations and almost no explanations. I do not recommend this class as it fails to address the "why" of the title -- how does math apply to data science.

von Borja C

Sep 10, 2020

The first 3 weeks are quite good... but then it makes a gigantic leap on the 4th week. Please update the explanations on Bayes and the examples... they are not optimal. Judging from the comments I have seen, I am not the only one.

Thinking about it, I think maybe it would be worth to spend more time with probability and a bit less with the other stuff or even add another week... definitely probability in one week is a far shot... and it is key to understand data science correctly

von Helene H

Sep 25, 2020

A pretty good course even if week 3 and 4 are very difficult for beginners.

A few improvements are urgently needed:

-There are mistakes in the quizzes, which mistakes have been pointed out by generations of students for months/years in the forums, but have never been corrected. Such a disgrace and waste of student time!

-Also using Chrome makes you unable to read the formulas, which should be said in the course outset.