Informações sobre o curso

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Resultados de carreira do aprendiz

17%

consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 9 horas para completar
Inglês
Legendas: Inglês

Resultados de carreira do aprendiz

17%

consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 9 horas para completar
Inglês
Legendas: Inglês

oferecido por

Logotipo de Universidade de Maryland, College Park

Universidade de Maryland, College Park

Programa - O que você aprenderá com este curso

Semana
1

Semana 1

2 horas para concluir

Basic Estimation

2 horas para concluir
7 vídeos (Total 69 mín.), 6 leituras, 1 teste
7 videos
Basic R examples15min
Basic R examples (continued)13min
Degrees of Freedom7min
Estimating Means7min
Multistage samples5min
Quantile estimation in R10min
6 leituras
Slides10min
Slides10min
Slides10min
Slides10min
Slides (continued)10min
Slides10min
1 exercício prático
Course 6 Module 114min
Semana
2

Semana 2

2 horas para concluir

Models

2 horas para concluir
8 vídeos (Total 50 mín.), 8 leituras, 1 teste
8 videos
Estimation Method3min
Linear Models5min
Diagnostics in R8min
Linear Models in Stata5min
Logistic Models in R4min
Odds Ratios8min
Logistic Regression in Stata6min
8 leituras
Slides10min
Slides10min
Slides10min
Slides10min
Slides10min
Slides10min
Slides10min
Slides10min
1 exercício prático
Course 6 Module 214min
Semana
3

Semana 3

3 horas para concluir

Record Linkage

3 horas para concluir
4 vídeos (Total 38 mín.), 12 leituras, 1 teste
4 videos
Gentle Introduction9min
Challenges8min
Key Techniques11min
12 leituras
Improving Federal Statistics Using Multiple Data Sources10min
Longitudinal Employer-Household Dynamics (LEHD)10min
Impact of Research on Innovation, Competition and Science10min
Slides10min
Slides - Introduction10min
Technical Overview - Software10min
Slides: Challenges10min
Slides10min
Record Linkage (Herzog/Scheuren/Winkler 2010)10min
Febrl - A Freely Available Record Linkage System (Christen)10min
Machine Learning and Record Linkage (Winkler 2011)10min
Privacy Preserving Record Linkage (Schnell et al. 2009)10min
1 exercício prático
Quiz 3 - Record Linkage10min
Semana
4

Semana 4

1 hora para concluir

Ethics

1 hora para concluir
5 vídeos (Total 23 mín.), 3 leituras, 1 teste
5 videos
Linkage Consent and Consent Bias8min
Correlates of Consent3min
Bias in Administrative Estimates2min
Optimizing Linkage Consent6min
3 leituras
Slides10min
Assessing the Magnitude of Non-Consent Biases (Sakshaug & Kreuter 2012)10min
Placement, Wording and Interviewers (Sakshaug et al.)10min
1 exercício prático
Quiz - Linkage Consent10min

Sobre Programa de cursos integrados Survey Data Collection and Analytics

This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources. Faculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs....
Survey Data Collection and Analytics

Perguntas Frequentes – FAQ

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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