Informações sobre o curso
4.5
1,421 classificações
331 avaliações
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 16 horas para completar

Sugerido: Four weeks, 3-5 hours per week....
Idiomas disponíveis

Inglês

Legendas: Inglês...

Habilidades que você terá

Bayes' TheoremBayesian ProbabilityProbabilityProbability Theory
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 16 horas para completar

Sugerido: Four weeks, 3-5 hours per week....
Idiomas disponíveis

Inglês

Legendas: Inglês...

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
18 minutos para concluir

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...
Reading
1 vídeo (Total de 3 min), 2 leituras
Reading2 leituras
Course Information5min
Weekly feedback surveys10min
Horas para completar
4 horas para concluir

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....
Reading
10 vídeos (Total de 93 min), 4 leituras, 4 testes
Video10 videos
Sets - Medical Testing Example11min
Sets - Venn Diagrams7min
Numbers - The Real Number Line9min
Numbers - Less-than and Greater-than6min
Numbers - Algebra With Inequalities10min
Numbers - Intervals and Interval Notation7min
Sigma Notation - Introduction to Summation9min
Sigma Notation - Simplification Rules7min
Sigma Notation - Mean and Variance12min
Reading4 leituras
A note about the video lectures in this lesson3min
A note about the video lectures in this lesson10min
A note about the video lectures in this lesson10min
Feedback10min
Quiz4 exercícios práticos
Practice quiz on Sets15min
Practice quiz on the Number Line, including Inequalities25min
Practice quiz on Simplification Rules and Sigma Notation20min
Graded quiz on Sets, Number Line, Inequalities, Simplification, and Sigma Notation35min
Semana
2
Horas para completar
3 horas para concluir

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....
Reading
8 vídeos (Total de 72 min), 3 leituras, 3 testes
Video8 videos
Cartesian Plane - Distance Formula10min
Cartesian Plane - Point-Slope Formula for Lines8min
Cartesian Plane: Slope-Intercept Formula for Lines7min
Functions - Mapping from Sets to Sets7min
Functions - Graphing in the Cartesian Plane11min
Functions - Increasing and Decreasing Functions10min
Functions - Composition and Inverse10min
Reading3 leituras
A note about the video lectures in this lesson3min
A note about the video lectures in this lesson3min
Feedback10min
Quiz3 exercícios práticos
Practice quiz on the Cartesian Plane15min
Practice quiz on Types of Functions20min
Graded quiz on Cartesian Plane and Types of Function40min
Semana
3
Horas para completar
3 horas para concluir

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....
Reading
7 vídeos (Total de 66 min), 3 leituras, 3 testes
Video7 videos
Tangent Lines - The Derivative Function9min
Using Integer Exponents7min
Simplification Rules for Algebra using Exponents11min
How Logarithms and Exponents are Related12min
The Change of Base Formula4min
The Rate of Growth of Continuous Processes11min
Reading3 leituras
A note about the video lectures in this lesson10min
A note about the video lectures in this lesson3min
Feedback10min
Quiz3 exercícios práticos
Practice quiz onTangent Lines to Functions10min
Practice quiz on Exponents and Logarithms40min
Graded quiz on Tangent Lines to Functions, Exponents and Logarithms45min
Semana
4
Horas para completar
3 horas para concluir

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. 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....
Reading
8 vídeos (Total de 66 min), 4 leituras, 4 testes
Video8 videos
Joint Probabilities6min
Permutations and Combinations12min
Using Factorial and “M choose N”6min
The Sum Rule, Conditional Probability, and the Product Rule8min
Bayes’ Theorem (Part 1)10min
Bayes’ Theorem (Part 2)5min
The Binomial Theorem and Bayes Theorem8min
Reading4 leituras
A note about the video lectures in this lesson3min
A note about the video lectures in this lesson3min
A note about the video lectures in this lesson3min
Feedback10min
Quiz4 exercícios práticos
Practice quiz on Probability Concepts25min
Practice quiz on Problem Solving25min
Practice quiz on Bayes Theorem and the Binomial Theorem25min
Probability (basic and Intermediate) Graded Quiz50min
4.5
Direcionamento de carreira

38%

comecei uma nova carreira após concluir estes cursos
Benefício de carreira

83%

consegui um benefício significativo de carreira com este curso

Melhores avaliações

por PSJul 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.

por MGMar 28th 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.

Instrutores

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Daniel Egger

Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University
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Paul Bendich

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

Sobre Duke University

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....

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você adquire o Certificado, ganha acesso a todo o material do curso, incluindo avaliações com nota atribuída. Após concluir o curso, seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

  • 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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