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

4.5
stars
11,714 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

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!

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!!

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826 - 850 of 2,596 Reviews for Data Science Math Skills

By Arun J S D

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Jan 17, 2020

This course was good and refreshed the basics

By Archana T R

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Jun 10, 2019

Pretty good revision of basic maths concepts.

By David A S J

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Jun 18, 2017

Very good course to remember thing about math

By Abdullah A

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Dec 30, 2023

Speed was fast when discussing probabilities

By moswazi m

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Nov 24, 2020

Very informative course I really enjoyed it!

By Melissa M

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Sep 15, 2020

Excellent content, very explicit every video

By Mohammed A c v

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Jun 18, 2020

it was quite interesting , thank you so much

By Bao B Q

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Jun 15, 2020

I really love this course! Thanks very much!

By Ravi t N

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May 24, 2020

i've learned a lot .!! it is very beneficial

By Sagor K S

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Feb 3, 2023

Easy way to learn Data Science Math Skills.

By Delight O

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Oct 7, 2022

I WAS A VERY NICE EXPERIENCE, GREAT TUTORS

By Sanket S

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Jun 14, 2022

Functions and Bayes Theorem are taught well

By Edgar C N

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Jan 8, 2022

Awesome. 3 big cheers for Paul and Daniel!

By Chhanda S

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Jul 10, 2021

Excellent but the audio quality is no good.

By Bishal J

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Jun 26, 2021

Very nice course and the tutor were awesome

By Dom M

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Nov 22, 2020

Very challenging and well worth the effort.

By AARTHI V

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Aug 16, 2020

Everything was good and easy to understand.

By Abhay's K

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Jun 11, 2020

amazing course for data science enthusiasts

By Krishna K

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May 27, 2020

Absolute Basic will be explained Diligently

By Rika S

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Apr 27, 2020

Thanks for the course, it's very interested

By BOLLU V S

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Apr 26, 2020

Useful course for the data science students

By Don N P

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Apr 21, 2020

It's one of the best course of data science

By Lam M T

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Apr 21, 2020

It's one of the best courses of statistics.

By padmaraju p

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Apr 17, 2020

I got Very excited and experience with this

By Vijay A

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Apr 15, 2020

Thank You, The Course has been challenging.