logo
  • Courses
      • Tools
      • Python
      • R
      • SQL
      • Excel
      • Tableau
      • Power BI
      • All Tools
      • Techniques
      • Artificial Intelligence
      • Data Visualization
      • Machine Learning
      • Natural Language Processing
      • Time Series Analysis
      • All Techniques
      • Online Learning
      • Coursera
      • DataCamp
      • DataKwery
      • EdX
      • FutureLearn
      • Udacity
      • All Learning Sources
      • Education Programs
      • Bootcamps
      • Certificates
      • Certifications
      • Executive Education
      • Graduate Degrees

      • Universities
      • Harvard
      • Stanford
      • MIT
      • Johns Hopkins
      • Georgia Tech
      • All Universities
      • Business Schools
      • Wharton
      • MIT Sloan
      • Darden School of Business
      • All Business Schools
      • Companies
      • Amazon
      • Google
      • IBM
      • Meta
      • Microsoft
      • All Companies
      • Other Data Resources
      • Online Textbooks
      • Cheatsheets
      • Learning Paths
      • Instructors
      • YouTube Videos
  • Careers
      • Data Career Tracks
      • Business Analyst
      • Chief Data Officer
      • Data Analyst
      • Data Architect
      • Data Engineer
      • Data Scientist
      • All Career Tracks
      • Industry Applications
      • Finance
      • Healthcare
      • Human Resources
      • Marketing
      • Sports
      • All Industries
  • Search
  • Login
  1. Home
  2. Learning Paths

Survey Data Collection and Analytics Learning Path

Survey Data Collection and Analytics is a Specialization designed by Coursera. It consists of seven courses and can be completed in eight months .

Start Learning

Description

This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.

Faculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.

Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

Coursera
University of Maryland, College Park
1. Framework for Data Collection and Analysis

10 hours

Intermediate

23,697
Coursera
University of Michigan
2. Data Collection: Online, Telephone and Face-to-face

21 hours

Beginner

11,278
Coursera
University of Maryland, College Park
3. Questionnaire Design for Social Surveys

14 hours

Beginner

31,780
Coursera
University of Maryland, College Park
4. Sampling People, Networks and Records

26 hours

Beginner

9,260
Coursera
University of Maryland, College Park
5. Dealing With Missing Data

18 hours

9,400
SAS Stata
Coursera
University of Maryland, College Park
6. Combining and Analyzing Complex Data

10 hours

6,600
SAS Stata
logo
twitteryoutubelinkedin
Change Site Language
English
Español
简体中文
About
ContactAboutPrivacy
Learn Data Skills
ToolsTechniques
Select Learning Source
UniversitiesBusiness SchoolsCompaniesInstructorsAll Sources
Choose Learning Preference
BootcampsCheatsheetsCertificatesCertificationsExecutive EducationGraduate DegreesLearning PathsOnline TextbooksYouTube Videos
Explore Career Tracks
Business AnalystChief Data OfficerData AnalystData ScientistData EngineerData Architect
See Industry Examples
CustomerEnvironmentalFinanceHealthcareHuman ResourcesMarketingReal EstateSalesSportsWeb
Subscribe for Updates
© 2021-2026 DataKwery