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

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21,407 already enrolled

Get in-depth knowledge of a subject
4.3

(889 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

(889 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

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Taught in English

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  • 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
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Specialization - 6 course series

Framework for Data Collection and Analysis

Course 19 hours4.2 (759 ratings)

What you'll learn

Skills you'll gain

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

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

Course 221 hours4.6 (343 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: Survey Creation
Category: Data Collection
Category: Interviewing Skills
Category: Data Validation
Category: Research Design
Category: Data Capture
Category: Qualitative Research
Category: Data Ethics
Category: Data Quality
Category: Research Methodologies

Questionnaire Design for Social Surveys

Course 316 hours4.5 (457 ratings)

What you'll learn

  • Understand the basic elements of designing and evaluating questionnaires

Skills you'll gain

Category: Survey Creation
Category: Data Collection
Category: Interviewing Skills
Category: Statistical Analysis
Category: Qualitative Research
Category: Quantitative Research
Category: Research Design
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: Research Design
Category: Data Collection
Category: Statistical Software
Category: Probability & Statistics
Category: Survey Creation
Category: Sample Size Determination
Category: Statistical Methods
Category: Quantitative Research

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: Statistical Analysis
Category: R Programming
Category: Statistical Programming
Category: Data Quality
Category: Statistical Software
Category: Data Transformation

Combining and Analyzing Complex Data

Course 69 hours4.1 (62 ratings)

What you'll learn

Skills you'll gain

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

Instructors

Mariel Leonard
University of Maryland, College Park
1 Course33,055 learners
Frederick Conrad, Ph.D.
University of Michigan
4 Courses46,827 learners
James M Lepkowski
University of Michigan
3 Courses13,233 learners

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