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

8,038 Bewertungen
1,816 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!...



Sep 23, 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!


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!!

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1701 - 1725 von 1,799 Bewertungen für Data Science Math Skills

von Dhwanil S

Oct 03, 2020

There is no practical usage of it. There can be a project which shows its practical usage.

von Ioana D

Feb 10, 2017

The Probability section could use more practical examples, I found it difficult to follow.

von Aryan K P

May 15, 2020

Good for those who have not taken any maths since 10th grade, else it would be too easy.

von Nauan S

Oct 07, 2020

The last week (Probability) has terrible lectures. They are anything but comprehensive.

von Rodolfo N R

May 07, 2018

Last quiz is very hard and course does not provide the knowlege needed to resolve it.

von Alexander K B

Oct 14, 2020

The entire course would be much more enjoyable if Paul B. taught all of the modules.

von Seyed P R

Apr 22, 2020

Quite good but so many errors in the presentation that it was distracting at times.


Jul 14, 2020

A good platform for online study material and best experience teaching methods

von Juan C D

Jun 11, 2020

Take this course as a review but not to learn the data science skills needed

von G T

Mar 01, 2017

The material is very useful, however, the second teacher is not the best...

von Gaurab R P

Sep 06, 2020

Week 4 is poorly designed. Concepts are not clear. Please redesign it.

von abid g

Sep 08, 2020

Course lacks many details especially differentiation and integration

von Moin u

May 10, 2020

The course topics were good. But the video lectures were not good.

von abinaya R

May 07, 2020

probability was not taken properly and many portions are missing

von Federico V

Jan 26, 2018

It is more of an "appetizer" than a whole self-contained "meal".


Jul 29, 2020

is a good class but is hard for me I will try again but not now

von Ochilbek R

May 07, 2020

The probability part (Week 4) was disastrous. But rest is okay.

von Mark L I

Jul 01, 2020

The last section is much harder than the previous sections.

von Sailesh V

Apr 17, 2020

it required more content for data science mathematics

von Do B D

May 30, 2017

The contents were ok, but the videos were a bit boring

von Rafael B

Feb 24, 2018

Lost if it is a basic or a intermediate level course.

von Nathaniel L

Dec 28, 2017

The materials could be more advanced for data science

von Marco A

May 01, 2020

This require more practical refernce to data science

von Muhammad Z I N

Jun 05, 2020

The probability part explanation is very confusing.

von Ashish p b

Jun 30, 2020

Instructor was not so good but questions are tough