About this Course

4.5

1,501개의 평가

•

348개의 리뷰

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!

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

일정에 따라 마감일을 재설정합니다.

권장: Four weeks, 3-5 hours per week....

자막: 영어

Bayes' TheoremBayesian ProbabilityProbabilityProbability Theory

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

일정에 따라 마감일을 재설정합니다.

권장: Four weeks, 3-5 hours per week....

자막: 영어

주

1This 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...

1 video (Total 3 min), 2 readings

Course Information5m

Weekly feedback surveys10m

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....

10 videos (Total 93 min), 4 readings, 4 quizzes

Sets - Medical Testing Example11m

Sets - Venn Diagrams7m

Numbers - The Real Number Line9m

Numbers - Less-than and Greater-than6m

Numbers - Algebra With Inequalities10m

Numbers - Intervals and Interval Notation7m

Sigma Notation - Introduction to Summation9m

Sigma Notation - Simplification Rules7m

Sigma Notation - Mean and Variance12m

A note about the video lectures in this lesson3m

A note about the video lectures in this lesson10m

A note about the video lectures in this lesson10m

Feedback10m

Practice quiz on Sets15m

Practice quiz on the Number Line, including Inequalities25m

Practice quiz on Simplification Rules and Sigma Notation20m

Graded quiz on Sets, Number Line, Inequalities, Simplification, and Sigma Notation35m

주

2This 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....

8 videos (Total 72 min), 3 readings, 3 quizzes

Cartesian Plane - Distance Formula10m

Cartesian Plane - Point-Slope Formula for Lines8m

Cartesian Plane: Slope-Intercept Formula for Lines7m

Functions - Mapping from Sets to Sets7m

Functions - Graphing in the Cartesian Plane11m

Functions - Increasing and Decreasing Functions10m

Functions - Composition and Inverse10m

A note about the video lectures in this lesson3m

A note about the video lectures in this lesson3m

Feedback10m

Practice quiz on the Cartesian Plane15m

Practice quiz on Types of Functions20m

Graded quiz on Cartesian Plane and Types of Function40m

주

3This 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....

7 videos (Total 66 min), 3 readings, 3 quizzes

Tangent Lines - The Derivative Function9m

Using Integer Exponents7m

Simplification Rules for Algebra using Exponents11m

How Logarithms and Exponents are Related12m

The Change of Base Formula4m

The Rate of Growth of Continuous Processes11m

A note about the video lectures in this lesson10m

A note about the video lectures in this lesson3m

Feedback10m

Practice quiz onTangent Lines to Functions10m

Practice quiz on Exponents and Logarithms40m

Graded quiz on Tangent Lines to Functions, Exponents and Logarithms45m

주

4This module introduces the vocabulary and notation of probability theory – mathematics for the study of outcomes that are uncertain but have predictable rates of occurrence.
We start with the basic definitions and rules of probability, including the probability of two or more events both occurring, the sum rule and the product rule, and then proceed to Bayes’ Theorem and how it is used in practical problems....

8 videos (Total 66 min), 4 readings, 4 quizzes

Joint Probabilities6m

Permutations and Combinations12m

Using Factorial and “M choose N”6m

The Sum Rule, Conditional Probability, and the Product Rule8m

Bayes’ Theorem (Part 1)10m

Bayes’ Theorem (Part 2)5m

The Binomial Theorem and Bayes Theorem8m

A note about the video lectures in this lesson3m

A note about the video lectures in this lesson3m

A note about the video lectures in this lesson3m

Feedback10m

Practice quiz on Probability Concepts25m

Practice quiz on Problem Solving25m

Practice quiz on Bayes Theorem and the Binomial Theorem25m

Probability (basic and Intermediate) Graded Quiz50m

4.5

348개의 리뷰이 강좌를 수료한 후 새로운 경력 시작하기

이 강좌를 통해 확실한 경력상 이점 얻기

대학: AS•Jan 12th 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)

대학: PS•Jul 23rd 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.

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....

강의 및 과제를 언제 이용할 수 있게 되나요?

강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

이 수료증을 구매하면 무엇을 이용할 수 있나요?

수료증을 구매하면 성적 평가 과제를 포함한 모든 강좌 자료에 접근할 수 있습니다. 강좌를 완료하면 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 콘텐츠만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

환불 규정은 어떻게 되나요?

재정 지원을 받을 수 있나요?

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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