Survey Creation

Survey Creation is a process which involves formulating a set of questions, often in a standardized format, to collect data or information about a specific topic. Coursera's Survey Creation catalogue teaches you the principles of effective survey design, structure, and administration. You'll learn about methodologies for questionnaire construction, data collection techniques, and statistical analysis of survey data. You will also gain insights into how to address common challenges in survey research, such as nonresponse and measurement errors, and how to interpret and present survey results for various audiences. This skill is essential for market researchers, data analysts, social scientists, and anyone interested in gathering and interpreting reliable and valid data.

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Results for "Survey Creation"

  • From the course: Employee Development & Well-Being·Lesson: Untitled Lesson

  • From the course: 2026 Market Research: Consumer Behavior & Psychology·Lesson: Untitled Lesson

  • From the course: Employee Development & Well-Being·Lesson: Untitled Lesson

  • From the course: 2026 Market Research: Consumer Behavior & Psychology·Lesson: Untitled Lesson

  • From the course: Strategic HR Leadership·Lesson: Untitled Lesson

  • From the course: Building a Stellar Employee Experience·Lesson: Creating Survey Questions

  • University of California, Davis

    From the course: Quantitative Research·Lesson: Designing and Implementing a Quantitative Survey

  • University of California, Davis

    From the course: Quantitative Research·Lesson: Designing and Implementing a Quantitative Survey

  • From the course: UX Research at Scale: Surveys, Analytics, Online Testing·Lesson: Writing Questions (Measurement Error)

  • From the course: Household Surveys for Program Evaluation in LMICs·Lesson: Survey Tool Development

  • Skills you'll gain: Rmarkdown, Knitr, Surveys, Survey Creation, Data Quality, Sample Size Determination, Statistical Hypothesis Testing, Data Governance, Market Research, Regression Analysis, Predictive Modeling, Quantitative Research, Data Analysis, Statistical Analysis, Key Performance Indicators (KPIs), R Programming, Excel Formulas, Business Intelligence, Data Visualization, Performance Metric

  • Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Data Synthesis, Research Methodologies, Statistical Analysis, Data Analysis Software, Data Collection, Statistical Software, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Statistical Programming, R Programming