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

21,924 already enrolled

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Get in-depth knowledge of a subject
4.3

(896 reviews)

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

(896 reviews)

Beginner level
No prior experience required
3 months to complete
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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Specialization - 6 course series

What you'll learn

Skills you'll gain

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

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: Sampling (Statistics)
Category: Probability
Category: Surveys
Category: Probability & Statistics
Category: Sample Size Determination
Category: Research Methodologies
Category: Network Analysis
Category: Quantitative Research
Category: Statistical Software
Category: Statistical Analysis
Category: Data Collection
Category: Statistical Methods

What you'll learn

  • Understand the basic elements of designing and evaluating questionnaires

Skills you'll gain

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

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: Data Quality
Category: Interviewing Skills
Category: Sampling (Statistics)
Category: Data Validation
Category: Data Capture
Category: Surveys
Category: Research Methodologies
Category: Unstructured Data
Category: Qualitative Research
Category: Data Collection
Dealing With Missing Data

Dealing With Missing Data

Course 517 hours

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

Category: Data Quality
Category: Sampling (Statistics)
Category: Data Analysis
Category: Data Validation
Category: Research Design
Category: Surveys
Category: Research Methodologies
Category: Big Data
Category: Data Collection
Category: Statistical Methods

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Instructors

Mariel Leonard
University of Maryland, College Park
1 Course33,685 learners
Frederick Conrad, Ph.D.
University of Michigan
4 Courses47,536 learners
James M Lepkowski
University of Michigan
3 Courses13,559 learners

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