Data Science Math Skills(으)로 돌아가기

4.5

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2,239개의 평가

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494개의 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: fabio J

•Sep 21, 2019

Great introduction / refresh to math & probability

교육 기관: Jaime M

•May 17, 2017

Muy buen curso como base para el analisis de datos

교육 기관: James M

•Mar 31, 2018

great introduction and refresher to maths skills

교육 기관: Joshua C

•Aug 29, 2017

The first three chapters are relatively easy.

교육 기관: Belen R R

•Oct 26, 2019

A veces las explicaciones no son tan claras

교육 기관: Raghu R P

•Jul 11, 2018

Very good refresher course on Probability

교육 기관: Amir G

•Jul 12, 2019

Nice but It was obvious and easy stuff.

교육 기관: Soumya R R

•Mar 11, 2019

Too good content and practice sessions.

교육 기관: Hein Z

•Nov 06, 2018

Nice start math for Data Science

교육 기관: 郑昕妍

•May 06, 2017

very coherent class! Thank you!

교육 기관: saurabh

•Nov 22, 2019

Please send the certificate

교육 기관: Vincent S

•Sep 24, 2019

No answers for some tests

교육 기관: Xiaoqiao X

•Feb 04, 2020

nice introduction class

교육 기관: Jamal R

•Apr 10, 2018

improve week 4 videos

교육 기관: Hans H

•Aug 21, 2017

Overall good refresh

교육 기관: Шмаков А А

•Aug 18, 2019

Для совсем новичков

교육 기관: Kiran M

•May 05, 2018

A beginner's course

교육 기관: Daniel C

•Sep 11, 2017

Very useful course

교육 기관: Anshul D

•May 05, 2017

Very good course

교육 기관: Satyam G

•Dec 07, 2017

way too simple.

교육 기관: Hector V

•Aug 12, 2017

So far so good.

교육 기관: tubay g e

•Nov 03, 2017

perfect course

교육 기관: Warunee S

•Jan 27, 2019

Great course

교육 기관: Srikanth R

•Jul 10, 2019

It was goos

교육 기관: TIRUMALANADHUNI P K

•May 28, 2018

excellent