Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

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.

Can I take the course for free?

No, you cannot take this course for free. 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. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Survey Data Collection and Analytics Specialization

Survey Data Collection and Analytics Specialization

Collect and analyze data, and communicate results. Learn to collect quality data and conduct insightful data analysis in six courses.

Instructors: Mariel Leonard

Included with Coursera Plus

Learn more

6 course series

Get in-depth knowledge of a subject

4.3

(901 reviews)

Beginner level

No prior experience required

3 months at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

6 course series

Get in-depth knowledge of a subject

4.3

(901 reviews)

Beginner level

No prior experience required

3 months at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

What you'll learn

Understand the basics of survey design, sampling methods, data collection and data analysis
Apply the skills learned to analyze and compare multiple data sources in a capstone project

Overview

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.

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.

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English

44 practice exercises

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from University of Michigan

Specialization - 6 course series

Framework for Data Collection and Analysis

Course 19 hours4.2 (767 ratings)View course

What you'll learn

This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Furthermore this course will provide you with a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products.

Skills you'll gain

Data Collection, Big Data, Surveys, Sampling (Statistics), Data Quality, Data Validation, Research Design, Statistical Methods, and Data Analysis

Data Collection: Online, Telephone and Face-to-face

Course 221 hours4.6 (346 ratings)View course

What you'll learn

Appricate and compare the pros and cons of self-administered modes and interviews
Explore the emerging modes and data sources such as mobile web surveys and social media data
Understand the key concepts about survey data collection methods

Skills you'll gain

Data Collection, Surveys, Interviewing Skills, Data Quality, Sampling (Statistics), Text Mining, Qualitative Research, Research Methodologies, Data Validation, and Unstructured Data

Questionnaire Design for Social Surveys

Course 316 hours4.5 (459 ratings)View course

What you'll learn

Understand the basic elements of designing and evaluating questionnaires

Skills you'll gain

Survey Creation, Interviewing Skills, Quantitative Research, Data Collection, Research Methodologies, Research, Research Design, and Qualitative Research

Sampling People, Networks and Records

Course 425 hours4.3 (104 ratings)View course

What you'll learn

Understand the value and risks sampling and randomization methods bring to scientific investigation
Differentiate different types of sampling methods and their applications
Explain the principles and techniques of probability sampling methods

Skills you'll gain

Sampling (Statistics), Network Analysis, Data Collection, Sample Size Determination, Quantitative Research, Probability & Statistics, Surveys, Statistical Methods, Probability, Statistical Analysis, and Statistical Software

Dealing With Missing Data

Course 517 hours3.8 (136 ratings)View course

What you'll learn

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.

Skills you'll gain

Sampling (Statistics), Regression Analysis, Statistical Methods, Data Cleansing, Statistical Inference, R (Software), Data Quality, Statistical Software, Data Analysis, STATA (Software), Statistical Analysis, and Data Transformation

Combining and Analyzing Complex Data

Course 69 hours4.1 (64 ratings)View course

What you'll learn

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.

Skills you'll gain

Sampling (Statistics), Statistical Modeling, Informed Consent, Stata, Regression Analysis, STATA (Software), R (Software), Data Integration, R Programming, Information Privacy, Data Ethics, Statistical Analysis, and Descriptive Statistics

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Mariel Leonard

University of Maryland, College Park

1 Course34,879 learners

Frederick Conrad, Ph.D.

University of Michigan

4 Courses48,569 learners

James M Lepkowski

University of Michigan

3 Courses14,035 learners

Frauke Kreuter, Ph.D.

University of Michigan

4 Courses65,802 learners

Richard Valliant, Ph.D.

University of Maryland, College Park

5 Courses17,295 learners

Offered by

University of Michigan

University of Maryland, College Park

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Frequently asked questions

All courses are on demand and available all the time. So it really depends how much time you have on your hand. You can certainly comfortably move through the specialization thinking of taking one course per month.

Introductory statistics knowledge does help, for the later courses.

The first course gives an overview over the topic and the framework with think in. But the courses can in principle be taken in any order. If you are looking for guidance we recommend to take at least the sampling Course (course 4) before the course on dealing with missing data (course 5).

If you completed the Questionnaire Design course previously and earned a Verified Certificate, you will automatically receive credit toward the Specialization for that course. Additionally, if you received a Verified Certificate and would like enroll for the specialization, the specialization cost will be automatically discounted to accommodate for the previous payment.

Learners who complete this specialization will know how to write questions, set-up good data collection, properly analyze survey data, draw samples, weight survey data and deal with missing values, and choose a proper survey mode. Completing the specialization will also help you prepare for a master's program and pivot your career to a rapidly evolving industry.

Survey Data Collection and Analytics Specialization

What you'll learn

Overview

Skills you'll gain

Tools you'll learn

What’s included

Advance your subject-matter expertise

Specialization - 6 course series

Framework for Data Collection and Analysis

What you'll learn

Skills you'll gain

Data Collection: Online, Telephone and Face-to-face

What you'll learn

Skills you'll gain

Questionnaire Design for Social Surveys

What you'll learn

Skills you'll gain

Sampling People, Networks and Records

What you'll learn

Skills you'll gain

Dealing With Missing Data

What you'll learn

Skills you'll gain

Combining and Analyzing Complex Data

What you'll learn

Skills you'll gain

Earn a career certificate

Instructors

Offered by

Compare with similar products

You might also like

Related skills

Why people choose Coursera for their career

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

More questions

Survey Data Collection and Analytics Specialization

What you'll learn

Overview

Skills you'll gain

Tools you'll learn

What’s included

Advance your subject-matter expertise

Specialization - 6 course series

Framework for Data Collection and Analysis

What you'll learn

Skills you'll gain

Data Collection: Online, Telephone and Face-to-face

What you'll learn

Skills you'll gain

Questionnaire Design for Social Surveys

What you'll learn

Skills you'll gain

Sampling People, Networks and Records

What you'll learn

Skills you'll gain

Dealing With Missing Data

What you'll learn

Skills you'll gain

Combining and Analyzing Complex Data

What you'll learn

Skills you'll gain

Earn a career certificate

Instructors

Offered by

Compare with similar products

You might also like

Related skills

Why people choose Coursera for their career

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

How long does it take to complete the Specialization?

What background knowledge is necessary?

Do I need to take the courses in a specific order?

More questions