Chevron Left
Back to Data Science Math Skills

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

4.5
stars
12,090 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

VC

May 16, 2020

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)

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!

Filter by:

301 - 325 of 2,668 Reviews for Data Science Math Skills

By Juan V

•

Jul 17, 2020

Good course. I wish there cover calculus topics like integrals but otherwise covers most of the topics that you need to know to data science.

By Christina U

•

Mar 23, 2023

The course was really helpful. Highly recommended for those who graduated from school years back and left the world of maths and statistics.

By Aftab A

•

Mar 20, 2019

This course is really helpful to data science student.I was very weak in probability and statistics but this course really polish my skills.

By sanket g

•

Apr 29, 2020

Its nice and quite harder than I thought..........

but I really enjoyed this course and their contents thanks for teaching

wish you Good Day

By Bhuman S

•

Aug 2, 2022

Was a great course to brush up my existing math skills while also honing up probability skills. Learnt mainly new concepts in probability.

By Abraham E C

•

May 4, 2020

I enjoyed the videos the most. The examples were quite simple and well structured, easy to manage and understand without additional notes.

By Abhisek s

•

May 1, 2020

Course was designed in very lucid and effective manner. My only suggestion is to explain probability part in little slow and detail manner

By Enes S

•

Sep 3, 2020

At first, I thought there is no need for me to take this course but at the end it was very useful for me. Especially the statistics part.

By Megala j

•

Jun 5, 2020

Classes were beautifully structured. Only the final Bayes' theorem could have been more elaborate with more live examples. Need solutions

By vivek m

•

Feb 5, 2017

Basic math course help to get revise all the high school concept. Even those who haven't any background on mathematics can get it easily.

By Kasuntha M

•

Jan 30, 2021

Great course to learn about Data Science Math Skills. I highly recommend this course. Thank you for offering this valuable course to me.

By Uzziel A P G

•

Jul 22, 2020

The lectures are well presented and the practice problems and graded quiz helped learners used the new knowledge learned in the lecture.

By Kaveri S S

•

Jun 10, 2020

Very easy to learn.This course with good instructors ,increases my knowledge and at the same time it increases my data science interest.

By Marlena A P

•

Jan 12, 2020

Very well structured and really helpfull examples. The videos are really easy to see and not boring at all. I really enjoyed the course.

By Shigeki H

•

Dec 15, 2019

This course contains what you need to do your job more logically and would make your argument or opinion much reasonable and persuasive.

By Yojana S

•

Jan 31, 2019

I have got various knowledge from it. We have learn various lesson s of math. I am thankful for the professor who teaches us this things

By Akash H

•

Nov 16, 2022

This course is very helpful for people who are on a basic level. This course help me for clear my basic concepts regarding probability.

By Aïnhoa L

•

Aug 15, 2022

Overall very eqsy to understand, good examples and relations to the data science context. Medium difficulty and well designed quizzes.

By Kyle Y

•

May 1, 2017

I really enjoyed the course, and found it really useful- it has inspired me to continue on and study applied mathematics at university!

By Mehdi B

•

Jan 18, 2022

Highlighting the differences between independent and dependent variables with real-life use cases at each step can improve this course

By Anirban C

•

May 17, 2021

probability should also be taught by paul benedich sir. i like his teaching, very easy and understandable to solve practical problems.

By Vivek P K

•

Jun 2, 2020

Great course which covers every statics topic necessary for Data Science. It helps me to recall what I have learned during my masters.

By Jeffrey G

•

Apr 10, 2020

Very challenging test at the last few chapters and it makes me think and think again which reinforces my understanding of each theory.

By Shreyas S

•

Mar 28, 2019

A Basic Introduction to Function Graphs and Probability. To ace data science interview (Math part), I feel the content is not enough.

By Iqbal A E

•

Dec 7, 2020

This is nice basic math for IT based. I learn just a little bit from my college, but in this course , i learn more advance about it.