Informações sobre o curso
4.2
2,791 classificações
573 avaliações
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data....
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cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
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Prazos flexíveis

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Clock

Approx. 16 hours to complete

Sugerido: 5 hours/week...
Comment Dots

English

Legendas: English, Vietnamese...

O que você vai aprender

  • Check
    Describe variability, distributions, limits, and confidence intervals
  • Check
    Make informed data analysis decisions
  • Check
    Understand the process of drawing conclusions about populations or scientific truths from data
  • Check
    Use p-values, confidence intervals, and permutation tests

Habilidades que você terá

StatisticsStatistical InferenceStatistical Hypothesis Testing
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Approx. 16 hours to complete

Sugerido: 5 hours/week...
Comment Dots

English

Legendas: English, Vietnamese...

Programa - O que você aprenderá com este curso

Week
1
Clock
18 horas para concluir

Week 1: Probability & Expected Values

This week, we'll focus on the fundamentals including probability, random variables, expectations and more. ...
Reading
10 vídeos (Total de 64 min), 11 leituras, 6 testes
Video10 videos
02 01 Introduction to probability6min
02 02 Probability mass functions7min
02 03 Probability density functions13min
03 01 Conditional Probability3min
03 02 Bayes' rule7min
03 03 Independence3min
04 01 Expected values5min
04 02 Expected values, simple examples2min
04 03 Expected values for PDFs7min
Reading11 leituras
Welcome to Statistical Inference10min
Some introductory comments10min
Pre-Course Survey10min
Syllabus10min
Course Book: Statistical Inference for Data Science10min
Data Science Specialization Community Site10min
Homework Problems10min
Probability10min
Conditional probability10min
Expected values10min
Practical R Exercises in swirl 110min
Quiz1 exercício prático
Quiz 112min
Week
2
Clock
11 horas para concluir

Week 2: Variability, Distribution, & Asymptotics

We're going to tackle variability, distributions, limits, and confidence intervals....
Reading
10 vídeos (Total de 76 min), 4 leituras, 4 testes
Video10 videos
05 02 Variance simulation examples2min
05 03 Standard error of the mean7min
05 04 Variance data example3min
06 01 Binomial distrubtion3min
06 02 Normal distribution15min
06 03 Poisson6min
07 01 Asymptotics and LLN4min
07 02 Asymptotics and the CLT8min
07 03 Asymptotics and confidence intervals20min
Reading4 leituras
Variability10min
Distributions10min
Asymptotics10min
Practical R Exercises in swirl Part 210min
Quiz1 exercício prático
Quiz 216min
Week
3
Clock
11 horas para concluir

Week: Intervals, Testing, & Pvalues

We will be taking a look at intervals, testing, and pvalues in this lesson....
Reading
11 vídeos (Total de 83 min), 5 leituras, 4 testes
Video11 videos
08 02 T confidence intervals example4min
08 03 Independent group T intervals14min
08 04 A note on unequal variance3min
09 01 Hypothesis testing4min
09 02 Example of choosing a rejection region5min
09 03 T tests7min
09 04 Two group testing17min
10 01 Pvalues7min
10 02 Pvalue further examples5min
Just enough knitr to do the project3min
Reading5 leituras
Confidence intervals10min
Hypothesis testing10min
P-values10min
Knitr10min
Practical R Exercises in swirl Part 310min
Quiz1 exercício prático
Quiz 314min
Week
4
Clock
13 horas para concluir

Week 4: Power, Bootstrapping, & Permutation Tests

We will begin looking into power, bootstrapping, and permutation tests....
Reading
9 vídeos (Total de 86 min), 4 leituras, 5 testes
Video9 videos
11 02 Calculating Power12min
11 03 Notes on power4min
11 04 T test power8min
12 01 Multiple Comparisons25min
13 01 Bootstrapping7min
13 02 Bootstrapping example3min
13 03 Notes on the bootstrap10min
13 04 Permutation tests9min
Reading4 leituras
Power10min
Resampling10min
Practical R Exercises in swirl Part 410min
Post-Course Survey10min
Quiz1 exercício prático
Quiz 418min
4.2
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Briefcase

83%

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Melhores avaliações

por APMar 22nd 2017

The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.

por LHJan 31st 2016

I found this course really good introduction to statistical inference. I did find it quite challenging but I can go away from this course having a greater understanding of Statistical Inference

Instrutores

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Sobre Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Sobre o Programa de cursos integrados Data Science

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material....
Data Science

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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