Chevron Left
返回到 Data Science Math Skills

学生对 Duke University 提供的 Data Science Math Skills 的评价和反馈

4.5
星
12,984 个评分

课程概述

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!...

热门审阅

SP

May 29, 2020

Great refresher and primer. The section on Probability and Bayes Theory needs a lot more support material (video and notes) as it can get tricky and abstract, especially when doing the quizzes.

RS

May 5, 2020

This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.Thank you for a great class!!

筛选依据：

2476 - Data Science Math Skills 的 2500 个评论（共 2,903 个）

创建者 Prayag S C

•

Jul 23, 2020

Very interested course.

Nice

创建者 Umashankar

•

May 23, 2020

Nice course for a beginner.

创建者 Anuj S

•

May 12, 2020

fully satisfied with course

创建者 Chhitij V

•

Apr 30, 2020

Probability course was good

创建者 Anushka T

•

Apr 24, 2020

good course for a kickstart

创建者 saurabh

•

Nov 22, 2019

Please send the certificate

创建者 Lamia K R

•

Jun 9, 2025

the last module felt hard

创建者 David W

•

May 8, 2022

Excellent. Thanks Daniel.

创建者 SHUBHANKAR K

•

Aug 19, 2020

Fantastic and elaborative

创建者 Asmita G

•

Jul 2, 2020

i want a certificate.....

创建者 Deepak R

•

Jun 19, 2020

this is just basic course

创建者 Rituja C

•

Apr 26, 2020

Course is very helpful 😊

创建者 vincent s

•

Sep 24, 2019

No answers for some tests

创建者 81_Siddhant K

•

Oct 8, 2024

Good and helpful course

创建者 opeyemi o

•

Oct 22, 2021

Down to earth approach.

创建者 Dr. M S

•

Oct 23, 2020

Good preliminary course

创建者 Vinothini S

•

Jun 21, 2020

Yeah it's good to learn

创建者 aswin j

•

Jun 7, 2020

i learned data analysis

创建者 Asif S

•

Apr 28, 2020

Good refresher of maths

创建者 Xiaoqiao X

•

Feb 4, 2020

nice introduction class

创建者 Ivan W H

•

May 30, 2020

good for entry learner

创建者 Piyush B

•

May 15, 2020

This was A nice course

创建者 Sandeep K Y

•

May 14, 2020

Good contents to study

创建者 Harshit C

•

Apr 25, 2020

expanation is soo good

创建者 Er.Misbah S

•

Apr 7, 2020

Excellent Syllabus....