Data Science Math Skills(으)로 돌아가기

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2,198개의 평가

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490개의 리뷰

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!...

Jan 12, 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)

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.

필터링 기준:

교육 기관: David A S J

•Jun 18, 2017

Very good course to remember thing about math

교육 기관: Ramneek k

•Dec 23, 2018

Great Course, really refresh my math skills

교육 기관: Pooja A

•Oct 12, 2018

Very well explained with real time examples

교육 기관: Jhon A A C

•May 03, 2017

Excelente curso para reforzar conocimientos

교육 기관: Ainura

•Nov 02, 2017

Thank you, this was a very helpful course.

교육 기관: vimard v

•Aug 16, 2017

Great course, many examples, good teachers

교육 기관: Peng L

•Dec 04, 2019

Simple and elegant, great for beginners.

교육 기관: Kasidis S

•Jan 04, 2019

Learned a lot from this course, thanks :)

교육 기관: Amanda

•Jun 11, 2017

the first three part is a little too easy

교육 기관: Sandeep M

•Dec 15, 2019

They are good for revisiting the basics.

교육 기관: Abdulrazak I

•May 01, 2019

It was a nice course and well documented

교육 기관: Lesly A F

•Aug 14, 2017

Great course to refresh your Math Basics

교육 기관: samarveer k

•Dec 26, 2019

GOOD INTRODUCTION IN DATA SCIENCE MATHS

교육 기관: robin

•Feb 19, 2019

The probability part is worth learning。

교육 기관: Andrew F

•Nov 14, 2019

Great course! I really learned a lot.

교육 기관: Bernd F

•Mar 11, 2018

Very good learning experience. Thanks!

교육 기관: Emin B

•Aug 17, 2017

thank you that was awesome experiences

교육 기관: Vi

•Sep 11, 2018

The course is perfect for beginners.

교육 기관: Imran W

•Nov 09, 2017

Very Informative and Well Structured

교육 기관: Abhishek S

•Jun 28, 2017

Good to revise mathematical concepts

교육 기관: Prince B

•Apr 01, 2018

Amazing Course and amazing Teachers

교육 기관: Deepti K

•Dec 12, 2017

Great course and highly recommended

교육 기관: Glenn L

•May 23, 2017

Great Primer for Data Science Math!

교육 기관: Sreedeep M

•Nov 23, 2017

Thanks for boosting my confidence.

교육 기관: Konstantin K

•Oct 26, 2017

Compact but clear and informative!