About this Course

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Learner Career Outcomes

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started a new career after completing these courses

28%

got a tangible career benefit from this course

12%

got a pay increase or promotion
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.
Intermediate Level
Approx. 9 hours to complete
English
Subtitles: English

Skills you will gain

Data CollectionData QualityData AnalysisData Generating Process

Learner Career Outcomes

29%

started a new career after completing these courses

28%

got a tangible career benefit from this course

12%

got a pay increase or promotion
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.
Intermediate Level
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

Content RatingThumbs Up93%(1,470 ratings)Info
Week
1

Week 1

3 hours to complete

Research Designs and Data Sources

3 hours to complete
9 videos (Total 51 min), 5 readings, 1 quiz
9 videos
Types of Data9m
Examples of Found Data2m
Visualizing the Data Generation Process5m
Data Curation5m
Data Analysis5m
Access Issues3m
Access Resources3m
Summary58s
5 readings
Course Overview10m
Readings and Resources List10m
Handouts10m
AAPOR (2015)40m
Couper (2013)30m
1 practice exercise
Quiz for Week 120m
Week
2

Week 2

2 hours to complete

Measurements and Analysis Plan

2 hours to complete
6 videos (Total 36 min), 2 readings, 1 quiz
6 videos
Planning on What You Want to Observe7m
Planning on How to Collect Data6m
New Modes4m
Web and Google6m
Choosing a Mode4m
2 readings
Handouts10m
Jäckle et al. (2015)30m
1 practice exercise
Quiz for Week 220m
Week
3

Week 3

2 hours to complete

Quality Framework

2 hours to complete
8 videos (Total 49 min), 3 readings, 1 quiz
8 videos
Inference4m
Survey Life Cycle from a Design Perspective - Measurement4m
Survey Life Cycle from a Design Perspective - Representation5m
Survey Lifecycle from a Process Perspective1m
Survey Lifeycle from a Quality Perspective14m
Survey Lifecycle from a Quality Perspective (II) - Metrics4m
Survey Lifecycle from a Quality Perspective (III) - Coverage and Sampling8m
3 readings
Handouts10m
Groves (2011)20m
Groves & Lyberg (2010)30m
1 practice exercise
Quiz for Week 320m
Week
4

Week 4

2 hours to complete

Application of TSE Framework to Existing Surveys

2 hours to complete
8 videos (Total 36 min), 2 readings, 1 quiz
8 videos
NSDUH3m
SCA3m
NAEP3m
BRFSS2m
CES3m
SHARE5m
ESS6m
2 readings
Handouts10m
Davidov (2008)30m
1 practice exercise
Quiz for Week 420m

Reviews

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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

  • 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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