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

Sponsored by BIDAcademy

21,022 already enrolled

Get in-depth knowledge of a subject
4.3

(882 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

(882 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

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Taught in English

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Specialization - 6 course series

Framework for Data Collection and Analysis

Course 19 hours4.2 (756 ratings)

What you'll learn

Skills you'll gain

Category: Survey Creation
Category: Research Design
Category: Data Collection
Category: Statistical Methods
Category: Sampling (Statistics)
Category: Statistics
Category: Probability & Statistics
Category: Research
Category: Research Methodologies
Category: Experimentation
Category: Scientific Methods
Category: Data Strategy
Category: Data Analysis
Category: General Science and Research
Category: Databases
Category: Data Storage
Category: Data Governance
Category: Data Quality
Category: Data Science
Category: Data Management

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

Course 221 hours4.6 (341 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: Research Design
Category: Data Collection
Category: Interviewing Skills
Category: Interpersonal Communications
Category: Research
Category: Data Governance
Category: Data Management
Category: Data Quality
Category: Experimentation
Category: Research Methodologies
Category: Scientific Methods

Questionnaire Design for Social Surveys

Course 316 hours4.5 (453 ratings)

What you'll learn

  • Understand the basic elements of designing and evaluating questionnaires

Skills you'll gain

Category: Survey Creation
Category: Research Design
Category: Experimentation
Category: Research Methodologies
Category: Scientific Methods
Category: Interviewing Skills
Category: Interpersonal Communications
Category: Research
Category: Communication Strategies
Category: Data Collection
Category: General Science and Research
Category: Communication

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: Data Collection
Category: Probability & Statistics
Category: Statistics
Category: Sampling (Statistics)
Category: Statistical Methods
Category: Statistical Inference
Category: Sample Size Determination
Category: Statistical Analysis
Category: Survey Creation
Category: Research Design
Category: Experimentation
Category: Probability
Category: Mathematics and Mathematical Modeling
Category: Applied Mathematics
Category: Data Science
Category: Research
Category: Scientific Methods
Category: Analytics
Category: Data Analysis
Category: Research Methodologies

Dealing With Missing Data

Course 517 hours3.8 (134 ratings)

What you'll learn

Skills you'll gain

Category: Statistics
Category: Probability & Statistics
Category: Statistical Methods
Category: Sampling (Statistics)
Category: Data Collection
Category: Statistical Modeling
Category: Data Science
Category: Statistical Analysis
Category: Statistical Inference
Category: Data Analysis
Category: Mathematical Modeling
Category: Mathematics and Mathematical Modeling
Category: Applied Mathematics
Category: Analytics
Category: Probability

Combining and Analyzing Complex Data

Course 69 hours4.1 (61 ratings)

What you'll learn

Skills you'll gain

Category: Statistics
Category: Statistical Analysis
Category: Data Collection
Category: Statistical Inference
Category: Sampling (Statistics)
Category: Statistical Methods
Category: Data Analysis
Category: Statistical Modeling
Category: Data Ethics
Category: Estimation
Category: R Programming
Category: Statistical Programming
Category: Stata
Category: Statistical Machine Learning
Category: Data Synthesis
Category: Business Analytics
Category: Regression Analysis
Category: Statistical Software
Category: Analytics
Category: Data Science

Instructors

Mariel Leonard
University of Maryland, College Park
1 Course32,682 learners
Frederick Conrad, Ph.D.
University of Michigan
4 Courses46,407 learners
James M Lepkowski
University of Michigan
3 Courses12,978 learners

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