Informações sobre o curso
1.0
1 classificações
1 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 intermediário

Nível intermediário

High school algebra, successful completion of Course 1 in this specialization or equivalent background

Horas para completar

Aprox. 17 horas para completar

Sugerido: 4 weeks of study, 4-6 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

O que você vai aprender

  • Check

    Determine assumptions needed to calculate confidence intervals for their respective population parameters.

  • Check

    Create confidence intervals in Python and interpret the results.

  • Check

    Review how inferential procedures are applied and interpreted step by step when analyzing real data.

  • Check

    Run hypothesis tests in Python and interpret the results.

Habilidades que você terá

Confidence IntervalPython ProgrammingStatistical InferenceStatistical Hypothesis Testing
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 intermediário

Nível intermediário

High school algebra, successful completion of Course 1 in this specialization or equivalent background

Horas para completar

Aprox. 17 horas para completar

Sugerido: 4 weeks of study, 4-6 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
3 horas para concluir

WEEK 1 - OVERVIEW & INFERENCE PROCEDURES

In this first week, we’ll review the course syllabus and discover the various concepts and objectives to be mastered in weeks to come. You’ll be introduced to inference methods and some of the research questions we’ll discuss in the course, as well as an overall framework for making decisions using data, considerations for how you make those decisions, and evaluating errors that you may have made. On the Python side, we’ll review some high level concepts from the first course in this series, Python’s statistics landscape, and walk through intermediate level Python concepts. All of the course information on grading, prerequisites, and expectations are on the course syllabus and you can find more information on our Course Resources page....
Reading
8 vídeos (total de (Total 62 mín.) min), 5 leituras, 1 teste
Video8 videos
Introduction to Inference Methods: Oh the Things You Will See!3min
Bag A or Bag B?13min
Introduction to Bayesian4min
This or That? Language and Notation13min
The Python Statistics Landscape2min
Intermediate Python Concepts: Lists vs Numpy Arrays10min
Functions and Lambda Functions, Reading Help Files11min
Reading5 leituras
Course Syllabus5min
Meet the Course Team!10min
Help Us Learn More About You!10min
About Our Datasets2min
This or That Reference10min
Quiz1 exercício prático
Python Basics Assessment15min
Semana
2
Horas para completar
6 horas para concluir

WEEK 2 - CONFIDENCE INTERVALS

In this second week, we will learn about estimating population parameters via confidence intervals. You will be introduced to five different types of population parameters, assumptions needed to calculate a confidence interval for each of these five parameters, and how to calculate confidence intervals. Quizzes and a peer assessment will appear throughout the week to test your understanding. In addition, you’ll learn how to create confidence intervals in Python....
Reading
13 vídeos (total de (Total 121 mín.) min), 4 leituras, 4 testes
Video13 videos
Understanding Confidence Intervals10min
Demo: Seeing Theory5min
Assumptions for a Single Population Proportion Confidence Interval3min
Conservative Approach & Sample Size Consideration8min
Estimating a Difference in Population Proportions with Confidence6min
Interpretations & Assumptions for Two Population Proportion Intervals4min
Estimating a Population Mean with Confidence14min
Estimating a Mean Difference for Paired Data10min
Estimating a Difference in Population Means with Confidence (for Independent Groups)14min
Chocolate & Cycling Assignment2min
Introduction to Confidence Intervals in Python12min
Confidence Intervals for Differences between Population Parameters21min
Reading4 leituras
Confidence Intervals: Other Considerations15min
What Affects the Standard Error of an Estimate?10min
Chocolate & Cycling Assignment Instructions5min
Additional Practice: Confidence Intervals1min
Quiz3 exercícios práticos
Practice Quiz: All About Confidence Intervals14min
Sample Size & Assumptions
Confidence Intervals Assessments
Semana
3
Horas para completar
5 horas para concluir

WEEK 3 - HYPOTHESIS TESTING

In week three, we’ll learn how to test various hypotheses - using the five different analysis methods covered in the previous week. We’ll discuss the importance of various factors and assumptions with hypothesis testing and learn to interpret our results. We will also review how to distinguish which procedure is appropriate for the research question at hand....
Reading
11 vídeos (total de (Total 136 mín.) min), 3 leituras, 2 testes
Video11 videos
Testing a One Population Proportion8min
Setting Up a Test of Difference in Population Proportions7min
Testing a Difference in Population Proportions8min
Interview: P-Values, P-Hacking and More24min
One Mean: Testing about a Population Mean with Confidence17min
Testing a Population Mean Difference13min
Testing for a Difference in Population Means (for Independent Groups)12min
Demo: Name That Scenario2min
Introduction to Hypothesis Testing in Python20min
Walk-Through: Hypothesis Testing with NHANES13min
Reading3 leituras
Hypothesis Testing: Oher Considerations10min
The Relationship between Confidence Intervals & Hypothesis Testing5min
Additional Practice: Hypothesis Testing1min
Quiz2 exercícios práticos
Name That Scenario15min
Hypothesis Testing in Python Assessments
Semana
4
Horas para completar
4 horas para concluir

WEEK 4 - LEARNER APPLICATION

In the final week of this course, we will walk through several examples and case studies that illustrate applications of the inferential procedures discussed in prior weeks. Learners will see examples of well-formulated research questions related to the study designs and data sets that we have discussed thus far, and via both confidence interval estimation and formal hypothesis testing, we will formulate inferential responses to those questions....
Reading
6 vídeos (total de (Total 77 mín.) min), 3 leituras, 1 teste
Video6 videos
Descriptive Inference Examples for Single Variables Using Hypothesis Testing12min
Descriptive Inference Examples for Single Variables Using Confidence Intervals12min
Comparing Means for Two Independent Samples: An Example14min
Comparing Means for Two Paired Samples: An Example12min
Comparing Proportions for Two Independent Samples: An Example13min
Reading3 leituras
Assumptions Consistency5min
Revisiting Examples: Accounting for Complex Samples10min
Course Feedback10min
Quiz1 exercício prático
Assessment10min

Instrutores

Avatar

Brenda Gunderson

Lecturer IV and Research Fellow
Department of Statistics
Avatar

Brady T. West

Research Associate Professor
Institute for Social Research
Avatar

Kerby Shedden

Professor
Department of Statistics

Sobre Universidade de Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

Sobre o Programa de cursos integrados Statistics with Python

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis, and use of the Python programming language to conduct data analyses. Learners will learn where data come from, what types of data can be collected, how to effectively summarize and visualize data, how to utilize data for estimation and assessing theories, proper interpretations of inferential results, and how to apply more advanced statistical modeling procedures....
Statistics with Python

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.

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.