Data Science Math Skills(으)로 돌아가기

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2,205개의 평가

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491개의 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: SYED M S

•Dec 25, 2017

Nice Course!

교육 기관: Tatini v p

•Dec 31, 2017

VERY USEFUL

교육 기관: Abhijay M

•Jan 27, 2017

Nice course

교육 기관: Qiuhong X

•Jul 28, 2019

Thank you!

교육 기관: LI M

•Nov 09, 2018

good class

교육 기관: Georgia P

•Jun 03, 2018

Thank you!

교육 기관: Mehmet A U

•Jan 06, 2018

Awesome!!!

교육 기관: Akhlaq A

•Apr 06, 2018

Excellent

교육 기관: Umesh S

•Mar 05, 2019

Exellent

교육 기관: Praneet N

•Mar 05, 2018

good one

교육 기관: Sidhardh M

•Jun 23, 2017

good one

교육 기관: Yuliya S

•Apr 07, 2018

L

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t

교육 기관: 孟凡玉

•Oct 10, 2017

课程通俗易通!

교육 기관: Jitesh J T

•Nov 18, 2019

Superb

교육 기관: Mike

•Apr 08, 2019

Great!

교육 기관: ruizhou

•Sep 27, 2017

useful

교육 기관: Andy T J L

•Aug 07, 2019

-NIL-

교육 기관: aiyane m

•Jul 17, 2019

g

r

e

a

t

교육 기관: Gustavo L R

•Jan 28, 2019

Good!

교육 기관: Akhil K

•May 27, 2019

Good

교육 기관: Amit k m

•Mar 11, 2019

good

교육 기관: shri r

•Mar 07, 2019

Good

교육 기관: Sai K G

•Dec 24, 2018

Good

교육 기관: PRATIk S

•Feb 01, 2018

Good

교육 기관: jyxdcr

•Nov 20, 2017

easy

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