Informações sobre o curso
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Aprox. 25 horas para completar

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

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Habilidades que você terá

Statistical InferenceStatistical Hypothesis TestingR Programming

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 25 horas para completar

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

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
20 minutos para concluir

About the Specialization and the Course

2 leituras
2 leituras
About Statistics with R Specialization10min
More about Inferential Statistics10min
3 horas para concluir

Central Limit Theorem and Confidence Interval

7 vídeos (Total 65 mín.), 6 leituras, 3 testes
7 videos
Confidence Interval (for a mean)11min
Accuracy vs. Precision7min
Required Sample Size for ME4min
CI (for the mean) examples5min
6 leituras
Lesson Learning Objectives10min
Lesson Learning Objectives10min
Week 1 Suggested Readings and Practice Exercises10min
About Lab Choices10min
Week 1 Lab Instructions (RStudio)10min
Week 1 Lab Instructions (RStudio Cloud)10min
3 exercícios práticos
Week 1 Practice Quiz12min
Week 1 Quiz14min
Week 1 Lab12min
Semana
2
2 horas para concluir

Inference and Significance

7 vídeos (Total 59 mín.), 5 leituras, 3 testes
7 videos
Inference for Other Estimators10min
Decision Errors8min
Significance vs. Confidence Level6min
Statistical vs. Practical Significance7min
5 leituras
Lesson Learning Objectives10min
Lesson Learning Objectives10min
Week 2 Suggested Readings and Practice Exercises10min
Week 2 Lab Instructions (RStudio)10min
Week 2 Lab Instructions (RStudio Cloud)10min
3 exercícios práticos
Week 2 Practice Quiz10min
Week 2 Quiz16min
Week 2 Lab12min
Semana
3
3 horas para concluir

Inference for Comparing Means

11 vídeos (Total 84 mín.), 5 leituras, 3 testes
11 videos
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
5 leituras
Lesson Learning Objectives10min
Lesson Learning Objectives10min
Week 3 Suggested Readings and Practice Exercises10min
Week 3 Lab Instructions (RStudio)10min
Week 3 Lab Instructions (RStudio Cloud)10min
3 exercícios práticos
Week 3 Practice Quiz16min
Week 3 Quiz28min
Week 3 Lab14min
Semana
4
4 horas para concluir

Inference for Proportions

11 vídeos (Total 118 mín.), 5 leituras, 3 testes
11 videos
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
5 leituras
Lesson Learning Objectives10min
Lesson Learning Objectives10min
Week 4 Suggested Readings and Practice Exercises10min
Week 4 Lab Instructions (RStudio)10min
Week 4 Lab Instructions (RStudio Cloud)10min
3 exercícios práticos
Week 4 Practice Quiz18min
Week 4 Quiz24min
Week 4 Lab26min
4.8
263 avaliaçõesChevron Right

29%

comecei uma nova carreira após concluir estes cursos

20%

consegui um benefício significativo de carreira com este curso

Principais avaliações do Estatística Inferencial

por ZCAug 24th 2017

This course by Professor ?etinkaya-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 Universidade Duke

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 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

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