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Opiniones y comentarios de aprendices correspondientes a Data Science Math Skills por parte de Universidad Duke

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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!...

Principales reseñas


22 de sep. de 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!


11 de ene. de 2019

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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2276 - 2300 de 2,417 revisiones para Data Science Math Skills

por Juan C D

10 de jun. de 2020

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

por Joseph L

11 de feb. de 2022

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

por Josef B

16 de nov. de 2020

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

por G T

1 de mar. de 2017

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


25 de sep. de 2021

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

por Gaurab R

6 de sep. de 2020

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

por abid g

8 de sep. de 2020

Course lacks many details especially differentiation and integration

por Surya P V

28 de ene. de 2021

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

por Moin u

10 de may. de 2020

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

por Lena S

4 de jul. de 2021

The first two weeks are great, the rest deteriorates in quality.

por Abinaya R

7 de may. de 2020

probability was not taken properly and many portions are missing

por Federico V

26 de ene. de 2018

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

por Fatima Z B

29 de jul. de 2020

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

por Ochilbek R

7 de may. de 2020

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

por Jeffrey J D A

16 de may. de 2022

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

por Mark L I

1 de jul. de 2020

The last section is much harder than the previous sections.

por Sailesh V

17 de abr. de 2020

it required more content for data science mathematics

por Do B D

30 de may. de 2017

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

por Casimiro G

21 de ene. de 2023

The week 4 is too weak and needs much better material

por Rafael B

24 de feb. de 2018

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

por Nathaniel L

27 de dic. de 2017

The materials could be more advanced for data science

por Marco A

1 de may. de 2020

This require more practical refernce to data science

por Muhammad Z I N

5 de jun. de 2020

The probability part explanation is very confusing.

por Ashish p b

30 de jun. de 2020

Instructor was not so good but questions are tough

por Bola T

2 de jun. de 2017

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