Back to Data Science Math Skills

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9,422 ratings

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2,140 reviews

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!...

AS

Jan 11, 2019

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)

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)

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By fulvio c

•Oct 24, 2019

It's a very intersting training in order to refresh your memory.

By Yiwen G

•Jul 28, 2017

A little bit easy if you have solid high school math background.

By RUTVIK D

•May 22, 2020

Good explanations and brief presentation of Important concepts.

By Navratan S

•May 12, 2020

I have enjoyed this course and learn about data science skills.

By Gina L

•Dec 17, 2017

the course overall was good -- the probability section was hard

By Andrea V

•Dec 11, 2017

Good introduction to a few concepts that permeate data science.

By Suresh T

•Apr 22, 2017

probability theory was a bit fast but otherwise it was awesome!

By sivaharshini

•May 24, 2021

The classes were easy to catch up and knowledgable . THANK YOU

By Adelina A

•Apr 24, 2021

l enjoyed this class, it allowed me to refresh my math skills.

By 路仕丞

•Jan 25, 2021

It's too easy for engineering students. Not bad, but too easy.

By Priyanka V K

•Sep 24, 2020

Very much understanding !! It's good....guys go and check out

By Rahul P

•Jul 26, 2020

Great course for basics math and introuduction to probablility

By Patrick C

•Jun 7, 2020

Insightful course. Would recommend to anyone within the field.

By gouraV S

•May 24, 2020

It's great pleasure to enjoy such course from respected sir's.

By Habibie A

•May 5, 2020

Well informed and structured sample case approach to real life

By Shashank S

•Jun 17, 2020

Good Course to understand the Maths behind Machine Learning.

By Maria

•Jun 10, 2020

Great course, but hard to understand without math background

By Parth R

•Apr 20, 2020

Last Week was bit confusing and not clear. Rest it was good.

By Animesh S

•Jun 16, 2017

Good Course. The probability section needs some improvement.

By Vaibhav m

•Nov 3, 2020

probablity part could be explained more with more examples.

By Selvaganapathy M

•Jun 28, 2020

very steep learning curve, but good info on lot of formulas

By Ahmed B

•Feb 7, 2019

More exerciser required. Specially in probabilities theorem

By Pratima D

•Feb 4, 2018

The most fundamental course explained in the most easy way.

By Benitta P

•Sep 17, 2017

The Bayes theorem and binomial theorem needs more examples.

By Aditya G

•Aug 23, 2017

Would have liked a more advanced discussion on Probability.

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