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: Alok K G

•Aug 16, 2019

Good basic knowledge.

교육 기관: Vivien P

•Nov 28, 2018

Great course to be back on tracks with mathematics and probability.

교육 기관: Luan d S

•Dec 30, 2018

It's a excellent course with all of the basic concepts to start in the Data Science World.

Great regards and thank you for the course.

교육 기관: Augustine Y

•Dec 30, 2018

Introduction to the basic knowledge preparation of college level math.

교육 기관: Carlos V

•Feb 18, 2019

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in the past and also asses some voids in our knowledge of calculus and probability. Thanks!!!!

교육 기관: Ahmed O B

•Feb 07, 2019

More exerciser required. Specially in probabilities theorem

교육 기관: Aman G

•Mar 20, 2019

The course is well structured and good for the newbies and the ones who are not from mathematics background.

교육 기관: Eugenio E C S

•Mar 19, 2019

The first half it was great. After that I felt really confused with the probability examples and the exercises was really tricky. Besides of that, it's a good course.

교육 기관: Warunee S

•Jan 27, 2019

Great course

교육 기관: 宋雅风

•Jan 08, 2019

A very basic introduction of math. You can use this course to recap the relative knowledges

교육 기관: Marc P

•Mar 09, 2019

Good intro or refresher, but needs more concrete examples in the probability theory section.

교육 기관: Soumya R R

•Mar 11, 2019

Too good content and practice sessions.

교육 기관: Ashish K S

•Mar 11, 2019

better

교육 기관: Raghu R P

•Jul 11, 2018

Very good refresher course on Probability

교육 기관: Sandy H S H

•Sep 25, 2018

Great course for beginner. But this course need some improvement at week 4 material!

교육 기관: Claudio C

•Oct 19, 2018

Very useful to review some math basics that everybody forgets after school. Interesting the part on baesyan probability which I only knew on a game theory point of view

교육 기관: Hein Z

•Nov 06, 2018

Nice start math for Data Science

교육 기관: GJ

•Nov 10, 2018

I leaned a lot especially in probability. But I had to search around various other resources before I got the hang of Bayes theorem. Also a tree diagram approach to both conditional and Bayes theorem will help get to the understanding faster.

교육 기관: Benitta P

•Sep 17, 2017

The Bayes theorem and binomial theorem needs more examples.

교육 기관: Jaison A

•Mar 21, 2017

Material was well presented. Exercises could have been more involved; likely would have enhanced the learning.

교육 기관: Duc T

•May 31, 2017

Good materials. But examples from learning sections are a lot easier than problems in quizzes. More difficult examples would be great.

교육 기관: Ashray M

•Mar 30, 2017

Refreshing your Basics

The whole course is a just brushing up your basic math. The videos are brief and to the point, and problems make you use your brains and they are not right out of the video or any other reading material. I feel only Bayes and binomial theorem videos are not comprehensive and the problems a quite challenging.

교육 기관: Satya N

•Sep 25, 2017

Please make probability sessions more interactive so that it will be useful to understand basic concepts.

교육 기관: Sasha L

•Sep 21, 2017

still difficult to apply the theory to real life examples

교육 기관: Gina L

•Dec 17, 2017

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