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

4.5
stars
12,404 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

AP

Apr 17, 2020

Hi it is very helpful to me. Concept is properly explained. I enjoyed learning process. Expect some more courses on data science as well as on python which involves real time application.Thanks a lot.

PS

Jul 23, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

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2726 - 2750 of 2,750 Reviews for Data Science Math Skills

By Jennifer N C

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May 3, 2021

j guess I would be better suited to a course for pre-beginner beginner levels. This has been over my head since the first video.

By Valentyn B

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Oct 31, 2020

First, its too easy, almost intuitional. Then it overwhelms you with a plethora of formulas, no mathematical logic provided.

By Cassidy O

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Jan 18, 2021

very poor instructional videos. videos and examples in videos are extremely hard to follow and not well-organized.

By Vishwang B

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Jul 4, 2020

Found too many errors in both content and quizzes. Good basic course for beginners. But, the errors must be fixed

By Grace B

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Apr 15, 2022

DIdn't get concepts after watching videos, had to do extra research to understand.

By Jared L

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Jul 1, 2020

Numerous errors in the videos, very bad audio quality. Not worth the time.

By ARNAV K

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Aug 26, 2024

My grade was too low even if the marks in the quiz were good

By Daniel C

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Jul 7, 2022

Too basic in first three weeks. Week 4 hard to understand.

By Miguel P M

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Jul 3, 2019

Extremely Basic. Not useful for DataScience in my oppinion.

By A S D

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Jul 1, 2020

I UNDERSTOOD MY DOUET IN THIS COURSE CLEAR IN DATA SCINCE

By Andrés D

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Jul 2, 2024

It appears to be for free , but at the need it is not.

By Ishwariyalakshmi E

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Jul 5, 2020

I don't recieve the certificate the course is good

By Sumit B

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Apr 30, 2020

I want to unenroll from this course

By Pierre L

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Apr 24, 2020

Too many typos in the videos

By HARIHARAN .

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Apr 27, 2023

CHANGING NAME IT ASK MONEY

By Kavin K G

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Aug 5, 2024

Very complex language

By Baxromov J B

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Jan 11, 2025

not give sertificate

By Mohamed A A E S A

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Jul 2, 2022

worst ever

By Youssef A

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Sep 13, 2020

too basic

By Omonova S O q

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Apr 8, 2023

4 yulduz

By Bota D

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Sep 6, 2020

too easy

By doRiMe H

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Oct 31, 2024

VBVVGVV

By Shaxzod H

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Apr 22, 2023

Bruh

By ARPIT S

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Jun 6, 2020

:)