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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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2576 - 2600 of 2,708 Reviews for Data Science Math Skills

By Ashish B

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Jun 30, 2020

Instructor was not so good but questions are tough

By Bola T

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Jun 2, 2017

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

By Piyush G

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Sep 13, 2018

Probability concepts could be more descriptive.

By Abhijay R

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Oct 23, 2021

The last topic was explained for shorter time

By Pavel S

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Mar 31, 2020

I think some basic statistics should be added

By Asma S

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Sep 8, 2021

Week 3 and Week 4 needs to be more in depth

By SHOURYA Y

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Mar 9, 2021

The videos were a bit tough to understand.

By LATIFF E

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Jan 23, 2021

The teaching does not feel very intuitive.

By Ruben L

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Jun 19, 2020

La parte de probabilidad no esta muy clara

By Shekh R

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Sep 18, 2020

Give right information about the subject

By Dixit K

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Apr 29, 2020

It is good for refreshing your concepts

By Colin X

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Jul 14, 2020

Last part, part 4 needs improvement.

By ahmed s

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Nov 29, 2019

the lectures of last week r very bad

By Cristian V

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Aug 29, 2022

strong beginning, weak ending.

By THOTAKURA B

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Aug 25, 2020

It is not that much effective.

By Binoy K

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Jul 6, 2020

T%his course is purely basic.

By Sai

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Jun 19, 2020

good course but expected more

By Aydar A

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Aug 28, 2017

too superficial to be usefull

By Prasad K

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Jan 11, 2019

1st 2 weeks were very basic.

By Vijay G

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Jul 12, 2020

Great mathematical analysis

By Snigdha G

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Oct 13, 2020

Can I get a Certificate?

By Hugh J

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Sep 27, 2020

Needs more statistics

By Elvin G

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Oct 19, 2018

It is too low level

By Korkrid A

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Apr 27, 2018

Good for beginners.

By Vikas G

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Jun 17, 2020

Fantastic teaching