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

Access provided by Coursera Learning Team

21,690 already enrolled

Get in-depth knowledge of a subject
4.3

(893 reviews)

Beginner level
No prior experience required
3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.3

(893 reviews)

Beginner level
No prior experience required
3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

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
Coursera Career Certificate

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Coursera Career Certificate

Specialization - 6 course series

Framework for Data Collection and Analysis

Course 19 hours4.2 (763 ratings)

What you'll learn

Skills you'll gain

Category: Data Collection
Category: Big Data
Category: Survey Creation
Category: Statistical Inference
Category: Data Analysis
Category: Data Quality
Category: Business Research
Category: Sampling (Statistics)
Category: Employee Surveys
Category: Quality Assessment
Category: Data Validation
Category: Exploratory Data Analysis

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

Course 221 hours4.6 (344 ratings)

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: Survey Creation
Category: Research Methodologies
Category: Interviewing Skills
Category: Sampling (Statistics)
Category: Data Quality
Category: Research Design
Category: Data Validation
Category: Qualitative Research
Category: Data Capture

Questionnaire Design for Social Surveys

Course 316 hours4.5 (458 ratings)

What you'll learn

  • Understand the basic elements of designing and evaluating questionnaires

Skills you'll gain

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

Sampling People, Networks and Records

Course 425 hours4.3 (103 ratings)

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: Research Design
Category: Data Collection
Category: Statistical Software
Category: Probability & Statistics
Category: Quantitative Research
Category: Sample Size Determination
Category: Survey Creation

Dealing With Missing Data

Course 517 hours3.8 (134 ratings)

What you'll learn

Skills you'll gain

Category: Sampling (Statistics)
Category: Statistical Methods
Category: Data Analysis
Category: Regression Analysis
Category: Data Cleansing
Category: R Programming
Category: Statistical Analysis
Category: Data Quality
Category: Data Transformation
Category: Statistical Software
Category: Statistical Programming

Combining and Analyzing Complex Data

Course 69 hours4.1 (63 ratings)

What you'll learn

Skills you'll gain

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

Instructors

Mariel Leonard
University of Maryland, College Park
1 Course33,373 learners
Frederick Conrad, Ph.D.
University of Michigan
4 Courses47,203 learners
James M Lepkowski
University of Michigan
3 Courses13,452 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