This course is part of the Survey Data Collection and Analytics Specialization

4.2
stars
56 ratings

Richard Valliant, Ph.D.

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Offered By

Survey Data Collection and Analytics SpecializationUniversity of Maryland, College Park

About this Course

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In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions.  Software capabilities will be covered with R® receiving particular emphasis.  The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources.  Combining of datasets raises ethical issues which the course reviews.  Informed consent may have to be obtained from persons to allow their data to be linked. You will learn about differences in the legal requirements in different countries.

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Course 6 of 7 in the

Survey Data Collection and Analytics Specialization

Approx. 9 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 6 of 7 in the

Survey Data Collection and Analytics Specialization

Approx. 9 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

3.8/5 (5 Ratings)

Richard Valliant, Ph.D.

Research Professor

Joint Program in Survey Methodology

14,974 Learners

5 Courses

Offered by

University of Maryland, College Park

The University of Maryland is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 37,000 students, 9,000 faculty and staff, and 250 academic programs. Its faculty includes three Nobel laureates, three Pulitzer Prize winners, 47 members of the national academies and scores of Fulbright scholars. The institution has a $1.8 billion operating budget, secures $500 million annually in external research funding and recently completed a $1 billion fundraising campaign.

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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Basic Estimation

After completing Modules 1 and 2 of this course you will understand how to estimate descriptive statistics, overall and for subgroups, when you deal with survey data. We will review software for estimation (R, Stata, SAS) with examples for how to estimate things like means, proportions, and totals. You will also learn how to estimate parameters in linear, logistic, and other models and learn software options with emphasis on R. Module 3 and 4 discuss how you can add additional data to your analysis. This requires knowing about record linkage techniques, and what it takes to get permission to link data.

3 hours to complete

7 videos (Total 69 min), 6 readings, 1 quiz

Week2

Week 2

3 hours to complete

Models

3 hours to complete

8 videos (Total 50 min), 8 readings, 1 quiz

Week3

Week 3

3 hours to complete

Record Linkage

3 hours to complete

4 videos (Total 38 min), 12 readings, 1 quiz

4 videos

Why we link records8mGentle Introduction9mChallenges8mKey Techniques11m

12 readings

Improving Federal Statistics Using Multiple Data Sources10mLongitudinal Employer-Household Dynamics (LEHD)10mImpact of Research on Innovation, Competition and Science10mSlides10mSlides - Introduction10mTechnical Overview - Software10mSlides: Challenges10mSlides10mRecord Linkage (Herzog/Scheuren/Winkler 2010)10mFebrl - A Freely Available Record Linkage System (Christen)10mMachine Learning and Record Linkage (Winkler 2011)10mPrivacy Preserving Record Linkage (Schnell et al. 2009)10m

1 practice exercise

Quiz 3 - Record Linkage30m

Week4

Week 4

1 hour to complete

Ethics

1 hour to complete

5 videos (Total 23 min), 3 readings, 1 quiz

Reviews

4.2

9 reviews

5 stars
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4 stars
26.78%
3 stars
14.28%
2 stars
1.78%
1 star
5.35%

TOP REVIEWS FROM COMBINING AND ANALYZING COMPLEX DATA

by AAFeb 11, 2021

Great course! Thanks, Professsor Valliant and Professor Frauke Kreuter.

View all reviews

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Combining and Analyzing Complex Data

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