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Avis et commentaires pour d'étudiants pour Data Science Math Skills par Université Duke

10,193 évaluations
2,277 avis

À propos du cours

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!...

Meilleurs avis


16 mai 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)


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.\n\nThank you for a great class!!

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2151 - 2175 sur 2,279 Avis pour Data Science Math Skills


14 juil. 2020

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

par Juan C D

10 juin 2020

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

par Joseph L

11 févr. 2022

Solid theory with distracting metaphores and use of non-mainstream symbols.

par Josef B

16 nov. 2020

first half of course explained very well; not so for second half of course.

par G T

1 mars 2017

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


25 sept. 2021

Week 2, Week 3, week 4 topics were not explained with enough examples.

par Gaurab R

6 sept. 2020

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

par abid g

8 sept. 2020

Course lacks many details especially differentiation and integration

par Surya P V

28 janv. 2021

Very basic course. Need some more challenging and advanced theory.

par Moin u

10 mai 2020

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

par Lena S

4 juil. 2021

T​he first two weeks are great, the rest deteriorates in quality.

par Abinaya R

7 mai 2020

probability was not taken properly and many portions are missing

par Federico V

26 janv. 2018

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

par Fatima Z B

29 juil. 2020

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

par Ochilbek R

7 mai 2020

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

par Jeffrey J D A

16 mai 2022

Can be confusing. Totally not for a beginner on my opinion.

par Mark L I

1 juil. 2020

The last section is much harder than the previous sections.

par Sailesh V

17 avr. 2020

it required more content for data science mathematics

par Do B D

30 mai 2017

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

par Rafael B

24 févr. 2018

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

par Nathaniel L

27 déc. 2017

The materials could be more advanced for data science

par Marco A

1 mai 2020

This require more practical refernce to data science

par Muhammad Z I N

5 juin 2020

The probability part explanation is very confusing.

par Ashish p b

30 juin 2020

Instructor was not so good but questions are tough

par Bola T

2 juin 2017

last week is not good at all i didn't get it all