University of Michigan
Survey Data Collection and Analytics Specialization
22,438 enrolled
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.

Included with Coursera Plus

Get in-depth knowledge of a subject

(896 reviews)

Beginner level
No prior experience required
Flexible schedule
3 months at 10 hours a week
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(896 reviews)

Beginner level
No prior experience required
Flexible schedule
3 months at 10 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • 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

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

Category: Data Collection
Category: Surveys
Category: Data Analysis
Category: Research Design
Category: Data Validation
Category: Research Methodologies
Category: Data Management
Category: Sampling (Statistics)
Category: Data Quality
Category: Research

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

Category: Data Collection
Category: Surveys
Category: Interviewing Skills
Category: Research Methodologies
Category: Data Validation
Category: Data Quality
Category: Intelligence Collection and Analysis
Category: Data Capture
Category: Text Mining
Category: Sampling (Statistics)

What you'll learn

  • Understand the basic elements of designing and evaluating questionnaires

Skills you'll gain

Category: Survey Creation
Category: Interviewing Skills
Category: Research Design
Category: Quantitative Research
Category: Statistical Analysis
Category: Qualitative Research
Category: Data Collection
Category: Cultural Sensitivity

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

Category: Sampling (Statistics)
Category: Network Analysis
Category: Statistical Methods
Category: Data Collection
Category: Data Quality
Category: Surveys
Category: Research Design
Category: Statistical Software
Category: Sample Size Determination
Category: Statistical Analysis
Category: Probability

What you'll learn

Skills you'll gain

Category: Sampling (Statistics)
Category: Data Analysis
Category: Data Cleansing
Category: Probability & Statistics
Category: Data Quality
Category: Statistical Methods
Category: R Programming
Category: Statistical Programming

What you'll learn

Skills you'll gain

Category: Sampling (Statistics)
Category: Regression Analysis
Category: Statistical Modeling
Category: Stata
Category: Statistical Analysis
Category: Information Privacy
Category: Data Integration
Category: R Programming
Category: Data Ethics
Category: Descriptive Statistics
Category: Data Analysis Software
Category: Statistical Methods

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 Course34,242 learners
Frederick Conrad, Ph.D.
University of Michigan
4 Courses47,994 learners
James M Lepkowski
University of Michigan
3 Courses13,750 learners
Frauke Kreuter, Ph.D.
University of Michigan
4 Courses64,987 learners
Richard Valliant, Ph.D.
University of Maryland, College Park
5 Courses17,102 learners

Offered by

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

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

Upskill your employees to excel in the digital economy

Frequently asked questions