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
12,977 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

BB

Nov 25, 2022

Good course. The probability portion is very challenging. Dr. Eggers is a tremendous instructor, but I did not feel adequately prepared for the some of the practical application in the quizzes.

PM

Sep 16, 2017

Good refresher. Weeks 3 and 4 are much more difficult to follow than one and two. Part of this is due to the subject matter but also a change of teacher / and style makes it more difficult.

筛选依据：

2426 - Data Science Math Skills 的 2450 个评论（共 2,902 个）

创建者 Raghuram P

•

Jul 11, 2018

Very good refresher course on Probability

创建者 Shreyas M S

•

Jul 11, 2020

Week 4 content is not explained properly

创建者 Taisa V

•

Jun 6, 2020

It was great introduction to math world.

创建者 Akash S

•

Jun 5, 2020

all is good but improve probability part

创建者 Saira M

•

Apr 4, 2020

This is really very beneficial for me...

创建者 SAIDUR A S

•

Nov 9, 2024

try to give more example on probability

创建者 ALI E A T

•

Dec 9, 2021

The last section needs more processing.

创建者 Kleider S V G

•

Aug 7, 2021

It is a good course to review concepts.

创建者 Suyogya M B

•

Apr 17, 2020

excellent course for beginners like me.

创建者 Amir G

•

Jul 11, 2019

Nice but It was obvious and easy stuff.

创建者 Soumya R R

•

Mar 11, 2019

Too good content and practice sessions.

创建者 Dini L M S

•

May 29, 2020

I'm so happy can follow this course :)

创建者 Bekzhan K

•

Sep 25, 2022

lack of exaples on learning process

创建者 kranti k

•

Dec 1, 2021

Understand Good basics in Probability

创建者 Surote W

•

Jun 20, 2021

week 4 need more detailed and example

创建者 Ruchika S

•

May 1, 2021

E

x

c

e

l

l

e

n

t

c

o

u

r

s

e

t

o

b

u

I

l

d

d

a

t

a

s

k

I

l

l

s

创建者 An H T

•

Dec 10, 2020

I expected more from Duke University.

创建者 Roy M K

•

Dec 15, 2020

It's an awesome learning experience.

创建者 Rajamanikam A

•

Jun 30, 2020

Course Tutors are teaching nicely :)

创建者 Barsha K

•

May 4, 2020

Overall good, little tough on week 4

创建者 Pheello M

•

Apr 29, 2020

Good course and supporting materials

创建者 Liming H

•

Feb 3, 2021

Very useful course for it's purpose

创建者 Đăng T

•

Jul 13, 2020

very useful for building foundation

创建者 Gua b

•

Jun 9, 2020

the last unit is a bit confusing...

创建者 Praveen S K (

•

May 15, 2020

Some concepts not explain properly.