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.
提供方
Data Science Math Skills
杜克大学
课程信息
284,696 次近期查看
学生职业成果
41%
完成这些课程后已开始新的职业生涯
34%
通过此课程获得实实在在的工作福利
您将获得的技能
Bayes' TheoremBayesian ProbabilityProbabilityProbability Theory
学生职业成果
41%
完成这些课程后已开始新的职业生涯
34%
通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
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初级
完成时间大约为15 小时
建议：Four weeks, 3-5 hours per week.
英语（English）
字幕：英语（English）
提供方
杜克大学
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
教学大纲 - 您将从这门课程中学到什么
完成时间为 18 分钟
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
完成时间为 18 分钟
1 个视频 （总计 3 分钟）, 2 个阅读材料
2 个阅读材料
Course Information5分钟
Weekly feedback surveys10分钟
完成时间为 4 小时
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.
完成时间为 4 小时
10 个视频 （总计 93 分钟）, 4 个阅读材料, 4 个测验
10 个视频
Sets - Medical Testing Example11分钟
Sets - Venn Diagrams7分钟
Numbers - The Real Number Line9分钟
Numbers - Less-than and Greater-than6分钟
Numbers - Algebra With Inequalities10分钟
Numbers - Intervals and Interval Notation7分钟
Sigma Notation - Introduction to Summation9分钟
Sigma Notation - Simplification Rules7分钟
Sigma Notation - Mean and Variance12分钟
4 个阅读材料
A note about the video lectures in this lesson3分钟
A note about the video lectures in this lesson10分钟
A note about the video lectures in this lesson10分钟
Feedback10分钟
4 个练习
Practice quiz on Sets15分钟
Practice quiz on the Number Line, including Inequalities25分钟
Practice quiz on Simplification Rules and Sigma Notation20分钟
Graded quiz on Sets, Number Line, Inequalities, Simplification, and Sigma Notation35分钟
完成时间为 3 小时
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.
完成时间为 3 小时
8 个视频 （总计 72 分钟）, 3 个阅读材料, 3 个测验
8 个视频
Cartesian Plane - Distance Formula10分钟
Cartesian Plane - Point-Slope Formula for Lines8分钟
Cartesian Plane: Slope-Intercept Formula for Lines7分钟
Functions - Mapping from Sets to Sets7分钟
Functions - Graphing in the Cartesian Plane11分钟
Functions - Increasing and Decreasing Functions10分钟
Functions - Composition and Inverse10分钟
3 个阅读材料
A note about the video lectures in this lesson3分钟
A note about the video lectures in this lesson3分钟
Feedback10分钟
3 个练习
Practice quiz on the Cartesian Plane15分钟
Practice quiz on Types of Functions20分钟
Graded quiz on Cartesian Plane and Types of Function40分钟
完成时间为 3 小时
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.
完成时间为 3 小时
7 个视频 （总计 66 分钟）, 3 个阅读材料, 3 个测验
7 个视频
Tangent Lines - The Derivative Function9分钟
Using Integer Exponents7分钟
Simplification Rules for Algebra using Exponents11分钟
How Logarithms and Exponents are Related12分钟
The Change of Base Formula4分钟
The Rate of Growth of Continuous Processes11分钟
3 个阅读材料
A note about the video lectures in this lesson10分钟
A note about the video lectures in this lesson3分钟
Feedback10分钟
3 个练习
Practice quiz onTangent Lines to Functions10分钟
Practice quiz on Exponents and Logarithms40分钟
Graded quiz on Tangent Lines to Functions, Exponents and Logarithms45分钟
完成时间为 3 小时
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.
完成时间为 3 小时
8 个视频 （总计 66 分钟）, 4 个阅读材料, 4 个测验
8 个视频
Joint Probabilities6分钟
Permutations and Combinations12分钟
Using Factorial and “M choose N”6分钟
The Sum Rule, Conditional Probability, and the Product Rule8分钟
Bayes’ Theorem (Part 1)10分钟
Bayes’ Theorem (Part 2)5分钟
The Binomial Theorem and Bayes Theorem8分钟
4 个阅读材料
A note about the video lectures in this lesson3分钟
A note about the video lectures in this lesson3分钟
A note about the video lectures in this lesson3分钟
Feedback10分钟
4 个练习
Practice quiz on Probability Concepts25分钟
Practice quiz on Problem Solving25分钟
Practice quiz on Bayes Theorem and the Binomial Theorem25分钟
Probability (basic and Intermediate) Graded Quiz50分钟
审阅
4.5
来自DATA SCIENCE MATH SKILLS的热门评论
由 AS 提供Jan 11, 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)
由 PS 提供Jul 22, 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.
由 PP 提供Feb 26, 2018
The content of the course as a whole is interesting as a good synthesis of basic skills, even though the content of the weeks 3 and 4 lacks of clarity compared to the content of the weeks 1 and 2.
由 MG 提供Mar 27, 2018
Please include integration, algorithm analysis (big O, theta, omega), recursion and induction. Your course is helpful, thank you. If you add those things I've mentioned it would be absolute gold.
由 DN 提供Nov 17, 2019
I thought this course was a nice refresher on basic mathematical concepts and it introduced me to set theory and probability very well! I think I am better prepared for data science afterward!
由 JV 提供Dec 10, 2019
First 3 weeks were easy going and the last week was a bit more challenging. I think more examples could be included in the lectures to understand Bayes' Theorem at the most fundamental level.
由 PM 提供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.
由 GP 提供Mar 6, 2018
Looking forward to advanced courses on Linear algebra, eculidean geometry that would make the concepts of vectors, matrices, plane and any application of those in the data science problems.
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退款政策是如何规定的？
有助学金吗？
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.
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