Informações sobre o curso
4.8
1,147 classificações
221 avaliações
Programa de cursos integrados
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. 25 horas para completar

Sugerido: 5 weeks of study, 5-7 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Habilidades que você terá

Statistical InferenceStatistical Hypothesis TestingR Programming
Programa de cursos integrados
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. 25 horas para completar

Sugerido: 5 weeks of study, 5-7 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
20 minutos para concluir

About the Specialization and the Course

This short module introduces basics about Coursera specializations and courses in general, this specialization: Statistics with R, and this course: Inferential Statistics. Please take several minutes to browse them through. Thanks for joining us in this course!...
Reading
2 leituras
Reading2 leituras
About Statistics with R Specialization10min
More about Inferential Statistics10min
Horas para completar
2 horas para concluir

Central Limit Theorem and Confidence Interval

Welcome to Inferential Statistics! In this course we will discuss Foundations for Inference. Check out the learning objectives, start watching the videos, and finally work on the quiz and the labs of this week. In addition to videos that introduce new concepts, you will also see a few videos that walk you through application examples related to the week's topics. In the first week we will introduce Central Limit Theorem (CLT) and confidence interval....
Reading
7 videos (Total 65 min), 4 leituras, 3 testes
Video7 videos
Sampling Variability and CLT20min
CLT (for the mean) examples10min
Confidence Interval (for a mean)11min
Accuracy vs. Precision7min
Required Sample Size for ME4min
CI (for the mean) examples5min
Reading4 leituras
Lesson Learning Objectives10min
Lesson Learning Objectives10min
Week 1 Suggested Readings and Practice Exercises10min
Week 1 Lab Instructions10min
Quiz3 exercícios práticos
Week 1 Practice Quiz12min
Week 1 Quiz14min
Week 1 Lab12min
Semana
2
Horas para completar
2 horas para concluir

Inference and Significance

Welcome to Week Two! This week we will discuss formal hypothesis testing and relate testing procedures back to estimation via confidence intervals. These topics will be introduced within the context of working with a population mean, however we will also give you a brief peek at what's to come in the next two weeks by discussing how the methods we're learning can be extended to other estimators. We will also discuss crucial considerations like decision errors and statistical vs. practical significance. The labs for this week will illustrate concepts of sampling distributions and confidence levels....
Reading
7 videos (Total 59 min), 4 leituras, 3 testes
Video7 videos
Hypothesis Testing (for a mean)14min
HT (for the mean) examples9min
Inference for Other Estimators10min
Decision Errors8min
Significance vs. Confidence Level6min
Statistical vs. Practical Significance7min
Reading4 leituras
Lesson Learning Objectives10min
Lesson Learning Objectives10min
Week 2 Suggested Readings and Practice Exercises10min
Week 2 Lab Instructions10min
Quiz3 exercícios práticos
Week 2 Practice Quiz10min
Week 2 Quiz16min
Week 2 Lab12min
Semana
3
Horas para completar
3 horas para concluir

Inference for Comparing Means

Welcome to Week Three of the course! This week we will introduce the t-distribution and comparing means as well as a simulation based method for creating a confidence interval: bootstrapping. If you have questions or discussions, please use this week's forum to ask/discuss with peers....
Reading
11 videos (Total 84 min), 4 leituras, 3 testes
Video11 videos
t-distribution7min
Inference for a mean9min
Inference for comparing two independent means8min
Inference for comparing two paired means9min
Power11min
Comparing more than two means6min
ANOVA9min
Conditions for ANOVA2min
Multiple comparisons6min
Bootstrapping8min
Reading4 leituras
Lesson Learning Objectives10min
Lesson Learning Objectives10min
Week 3 Suggested Readings and Practice Exercises10min
Week 3 Lab Instructions10min
Quiz3 exercícios práticos
Week 3 Practice Quiz16min
Week 3 Quiz28min
Week 3 Lab14min
Semana
4
Horas para completar
4 horas para concluir

Inference for Proportions

Welcome to Week Four of our course! In this unit, we’ll discuss inference for categorical data. We use methods introduced this week to answer questions like “What proportion of the American public approves of the job of the Supreme Court is doing?”....
Reading
11 videos (Total 118 min), 4 leituras, 3 testes
Video11 videos
Sampling Variability and CLT for Proportions15min
Confidence Interval for a Proportion9min
Hypothesis Test for a Proportion9min
Estimating the Difference Between Two Proportions17min
Hypothesis Test for Comparing Two Proportions13min
Small Sample Proportions10min
Examples4min
Comparing Two Small Sample Proportions5min
Chi-Square GOF Test14min
The Chi-Square Independence Test11min
Reading4 leituras
Lesson Learning Objectives10min
Lesson Learning Objectives10min
Week 4 Suggested Readings and Practice Exercises10min
Week 4 Lab Instructions10min
Quiz3 exercícios práticos
Week 4 Practice Quiz18min
Week 4 Quiz24min
Week 4 Lab26min
4.8
221 avaliaçõesChevron Right
Direcionamento de carreira

11%

comecei uma nova carreira após concluir estes cursos

Melhores avaliações

por ZCAug 24th 2017

This course by Professor Çetinkaya-Rundel is awesome because it is taught in a very clear and vivid way. Lab section and forum are so dope that I love them so much! Definitely strong recommendation!!!

por MNMar 1st 2017

Great course. If you put in a little effort, you will come out with a lot of new knowledge. I recommend using the book after you have seen the movies. It gives a deeper picture of how it works. Great!

Instrutores

Avatar

Mine Çetinkaya-Rundel

Associate Professor of the Practice
Department of Statistical Science

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....

Sobre o Programa de cursos integrados Statistics with R

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions....
Statistics with R

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 se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. 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.

  • If you want to complete the course and earn a Course Certificate by submitting assignments for a grade, you can upgrade your experience by subscribing to the course for $49/month. You can also apply for financial aid if you can't afford the course fee.

    When you enroll in a course that is part of a Specialization (which this course is), you will automatically be enrolled in the entire Specialization. You can unenroll from the Specialization if you’re not interested in the other courses or cancel your subscription once you complete the single course.

  • To enroll in an individual course, search for the course title in the catalog.

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    When you enroll in a course that is part of a Specialization, you will automatically be enrolled in the entire Specialization. You can unenroll from the Specialization if you’re not interested in the other courses.

  • 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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