University of Michigan
Survey Data Collection and Analytics Specialization
University of Michigan

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.

Mariel Leonard
Frederick Conrad, Ph.D.
James M Lepkowski

Instructors: Mariel Leonard

Included with Coursera Plus

Get in-depth knowledge of a subject

(902 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
Get in-depth knowledge of a subject

(902 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

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

What you'll learn

Skills you'll gain

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

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, Sampling (Statistics), Text Mining, Data Quality, Qualitative Research, Research Methodologies, Unstructured Data, and Data Validation

What you'll learn

  • Understand the basic elements of designing and evaluating questionnaires

Skills you'll gain

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

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, Probability, Statistical Analysis, Sample Size Determination, Statistical Methods, Probability & Statistics, Surveys, Quantitative Research, and Statistical Software

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

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 Course34,895 learners
Frederick Conrad, Ph.D.
University of Michigan
4 Courses48,592 learners
James M Lepkowski
University of Michigan
3 Courses14,046 learners
Frauke Kreuter, Ph.D.
University of Michigan
4 Courses65,825 learners
Richard Valliant, Ph.D.
University of Maryland, College Park
5 Courses17,304 learners

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