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Learner Reviews & Feedback for Data Science Math Skills by Duke University

4.5
stars
12,242 ratings

About the Course

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 reviews

RS

May 5, 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.

Thank you for a great class!!

VS

Sep 22, 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!

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2551 - 2575 of 2,708 Reviews for Data Science Math Skills

By PAWANESH K

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Jul 14, 2020

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

By Juan C D

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Jun 10, 2020

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

By Joseph L

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Feb 11, 2022

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

By Josef B

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Nov 16, 2020

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

By G T

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Mar 1, 2017

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

By ABDULLAH I

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Sep 25, 2021

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

By Gaurab R

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Sep 6, 2020

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

By abid g

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Sep 8, 2020

Course lacks many details especially differentiation and integration

By Surya P V

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Jan 28, 2021

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

By Moin u

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May 10, 2020

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

By Lena S

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Jul 4, 2021

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

By Zdeněk Š

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Aug 4, 2024

Half vids great, half poorly explained with squabbled equations.

By Abinaya R

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May 7, 2020

probability was not taken properly and many portions are missing

By Federico V

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Jan 26, 2018

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

By Fatima Z B

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Jul 29, 2020

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

By Ochilbek R

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May 7, 2020

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

By Jeffrey J D A

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May 16, 2022

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

By Mark L I

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Jul 1, 2020

The last section is much harder than the previous sections.

By Sailesh V

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Apr 17, 2020

it required more content for data science mathematics

By Do B D

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May 30, 2017

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

By Casimiro G

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Jan 21, 2023

The week 4 is too weak and needs much better material

By Rafael B

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Feb 24, 2018

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

By Nathaniel L

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Dec 27, 2017

The materials could be more advanced for data science

By Marco A

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May 1, 2020

This require more practical refernce to data science

By Muhammad Z I N

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Jun 5, 2020

The probability part explanation is very confusing.