About this Course

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Learner Career Outcomes

17%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 9 hours to complete

English

Subtitles: English

Learner Career Outcomes

17%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 9 hours to complete

English

Subtitles: English

Offered by

University of Maryland, College Park logo

University of Maryland, College Park

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Basic Estimation

2 hours to complete
7 videos (Total 69 min), 6 readings, 1 quiz
7 videos
Basic R examples15m
Basic R examples (continued)13m
Degrees of Freedom7m
Estimating Means7m
Multistage samples5m
Quantile estimation in R10m
6 readings
Slides10m
Slides10m
Slides10m
Slides10m
Slides (continued)10m
Slides10m
1 practice exercise
Course 6 Module 114m
Week
2

Week 2

2 hours to complete

Models

2 hours to complete
8 videos (Total 50 min), 8 readings, 1 quiz
8 videos
Estimation Method3m
Linear Models5m
Diagnostics in R8m
Linear Models in Stata5m
Logistic Models in R4m
Odds Ratios8m
Logistic Regression in Stata6m
8 readings
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
Slides10m
1 practice exercise
Course 6 Module 214m
Week
3

Week 3

3 hours to complete

Record Linkage

3 hours to complete
4 videos (Total 38 min), 12 readings, 1 quiz
4 videos
Gentle Introduction9m
Challenges8m
Key Techniques11m
12 readings
Improving Federal Statistics Using Multiple Data Sources10m
Longitudinal Employer-Household Dynamics (LEHD)10m
Impact of Research on Innovation, Competition and Science10m
Slides10m
Slides - Introduction10m
Technical Overview - Software10m
Slides: Challenges10m
Slides10m
Record Linkage (Herzog/Scheuren/Winkler 2010)10m
Febrl - A Freely Available Record Linkage System (Christen)10m
Machine Learning and Record Linkage (Winkler 2011)10m
Privacy Preserving Record Linkage (Schnell et al. 2009)10m
1 practice exercise
Quiz 3 - Record Linkage10m
Week
4

Week 4

1 hour to complete

Ethics

1 hour to complete
5 videos (Total 23 min), 3 readings, 1 quiz
5 videos
Linkage Consent and Consent Bias8m
Correlates of Consent3m
Bias in Administrative Estimates2m
Optimizing Linkage Consent6m
3 readings
Slides10m
Assessing the Magnitude of Non-Consent Biases (Sakshaug & Kreuter 2012)10m
Placement, Wording and Interviewers (Sakshaug et al.)10m
1 practice exercise
Quiz - Linkage Consent10m

About the Survey Data Collection and Analytics Specialization

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

Frequently Asked Questions

  • 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.

  • 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.

More questions? Visit the Learner Help Center.