課程信息

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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!

學生職業成果

30%

完成這些課程後已開始新的職業生涯

26%

通過此課程獲得實實在在的工作福利

可分享的證書

完成後獲得證書

100% 在線

立即開始，按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為13 小時

英語（English）

字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 中文（簡體）, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 土耳其語（Turkish）, 英語（English）, 西班牙語（Spanish）

您將獲得的技能

Bayes' TheoremBayesian ProbabilityProbabilityProbability Theory

學生職業成果

30%

完成這些課程後已開始新的職業生涯

26%

通過此課程獲得實實在在的工作福利

可分享的證書

完成後獲得證書

100% 在線

立即開始，按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為13 小時

英語（English）

字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 中文（簡體）, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 土耳其語（Turkish）, 英語（English）, 西班牙語（Spanish）

講師

授課教師評分

4.48/5 （2,086 個評分）

Daniel Egger

Executive in Residence and Director, Center for Quantitative Modeling

Pratt School of Engineering, Duke University

816,583 個學生

8 門課程

Paul Bendich

Assistant research professor of Mathematics; Associate Director for Curricular Engagement at the Information Initiative at Duke

Mathematics

240,670 個學生

2 門課程

教學大綱 - 您將從這門課程中學到什麼

內容評分96%（35,357 個評分）

週

1

週 1

完成時間為 18 分鐘

Welcome to Data Science Math Skills

This short module includes an overview of the course's structure, working process, and information about course certificates, quizzes, video lectures, and other important course details. Make sure to read it right away and refer back to it whenever needed

完成時間為 18 分鐘

1 個視頻（總計 3 分鐘）, 2 個閱讀材料

1 個視頻

Welcome to Data Science Math Skills2分鐘

2 個閱讀材料

Course Information5分鐘

Weekly feedback surveys10分鐘

完成時間為 4 小時

Building Blocks for Problem Solving

This module contains three lessons that are build to basic math vocabulary. The first lesson, "Sets and What They’re Good For," walks you through the basic notions of set theory, including unions, intersections, and cardinality. It also gives a real-world application to medical testing. The second lesson, "The Infinite World of Real Numbers," explains notation we use to discuss intervals on the real number line. The module concludes with the third lesson, "That Jagged S Symbol," where you will learn how to compactly express a long series of additions and use this skill to define statistical quantities like mean and variance.

完成時間為 4 小時

10 個視頻（總計 93 分鐘）, 4 個閱讀材料, 4 個測驗

10 個視頻

Sets - Basics and Vocabulary9分鐘

Sets - Medical Testing Example11分鐘

Sets - Venn Diagrams7分鐘

Numbers - The Real Number Line9分鐘

Numbers - Less-than and Greater-than6分鐘

Numbers - Algebra With Inequalities10分鐘

Numbers - Intervals and Interval Notation7分鐘

Sigma Notation - Introduction to Summation9分鐘

Sigma Notation - Simplification Rules7分鐘

Sigma Notation - Mean and Variance12分鐘

4 個閱讀材料

A note about the video lectures in this lesson3分鐘

A note about the video lectures in this lesson10分鐘

Feedback10分鐘

4 個練習

Practice quiz on Sets15分鐘

Practice quiz on the Number Line, including Inequalities25分鐘

Practice quiz on Simplification Rules and Sigma Notation20分鐘

Graded quiz on Sets, Number Line, Inequalities, Simplification, and Sigma Notation35分鐘

週

2

週 2

完成時間為 3 小時

Functions and Graphs

This module builds vocabulary for graphing functions in the plane. In the first lesson, "Descartes Was Really Smart," you will get to know the Cartesian Plane, measure distance in it, and find the equations of lines. The second lesson introduces the idea of a function as an input-output machine, shows you how to graph functions in the Cartesian Plane, and goes over important vocabulary.

完成時間為 3 小時

8 個視頻（總計 72 分鐘）, 3 個閱讀材料, 3 個測驗

8 個視頻

Cartesian Plane - Plotting Points7分鐘

Cartesian Plane - Distance Formula10分鐘

Cartesian Plane - Point-Slope Formula for Lines8分鐘

Cartesian Plane: Slope-Intercept Formula for Lines7分鐘

Functions - Mapping from Sets to Sets7分鐘

Functions - Graphing in the Cartesian Plane11分鐘

Functions - Increasing and Decreasing Functions10分鐘

Functions - Composition and Inverse10分鐘

3 個閱讀材料

A note about the video lectures in this lesson3分鐘

Feedback10分鐘

3 個練習

Practice quiz on the Cartesian Plane15分鐘

Practice quiz on Types of Functions20分鐘

Graded quiz on Cartesian Plane and Types of Function40分鐘

週

3

週 3

完成時間為 3 小時

Measuring Rates of Change

This module begins a very gentle introduction to the calculus concept of the derivative. The first lesson, "This is About the Derivative Stuff," will give basic definitions, work a few examples, and show you how to apply these concepts to the real-world problem of optimization. We then turn to exponents and logarithms, and explain the rules and notation for these math tools. Finally we learn about the rate of change of continuous growth, and the special constant known as “e” that captures this concept in a single number—near 2.718.

完成時間為 3 小時

7 個視頻（總計 66 分鐘）, 3 個閱讀材料, 3 個測驗

7 個視頻

Tangent Lines - Slope of a Graph at a Point10分鐘

Tangent Lines - The Derivative Function9分鐘

Using Integer Exponents7分鐘

Simplification Rules for Algebra using Exponents11分鐘

How Logarithms and Exponents are Related12分鐘

The Change of Base Formula4分鐘

The Rate of Growth of Continuous Processes11分鐘

3 個閱讀材料

A note about the video lectures in this lesson10分鐘

A note about the video lectures in this lesson3分鐘

Feedback10分鐘

3 個練習

Practice quiz onTangent Lines to Functions10分鐘

Practice quiz on Exponents and Logarithms40分鐘

Graded quiz on Tangent Lines to Functions, Exponents and Logarithms45分鐘

週

4

週 4

完成時間為 3 小時

Introduction to Probability Theory

This module introduces the vocabulary and notation of probability theory – mathematics for the study of outcomes that are uncertain but have predictable rates of occurrence.

完成時間為 3 小時

8 個視頻（總計 66 分鐘）, 4 個閱讀材料, 4 個測驗

8 個視頻

Probability Definitions and Notation7分鐘

Joint Probabilities6分鐘

Permutations and Combinations12分鐘

Using Factorial and “M choose N”6分鐘

The Sum Rule, Conditional Probability, and the Product Rule8分鐘

Bayes’ Theorem (Part 1)10分鐘

Bayes’ Theorem (Part 2)5分鐘

The Binomial Theorem and Bayes Theorem8分鐘

4 個閱讀材料

A note about the video lectures in this lesson3分鐘

Feedback10分鐘

4 個練習

Practice quiz on Probability Concepts25分鐘

Practice quiz on Problem Solving25分鐘

Practice quiz on Bayes Theorem and the Binomial Theorem25分鐘

Probability (basic and Intermediate) Graded Quiz50分鐘

常見問題

我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我购买证书后会得到什么？
您购买证书后，将有权访问所有课程材料，包括评分作业。完成课程后，您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
Is financial aid available?
是的，Coursera 可以向无法承担学费的学生提供助学金。点击左侧‘注册’按钮下的‘助学金’链接即可申请助学金。您可以根据屏幕提示完成申请，申请获批后会收到通知。了解详情。
Will I receive a transcript from Duke University for completing this course?
No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

還有其他問題嗎？請訪問學生幫助中心。

Data Science Math Skills