Survey Data Collection and Analytics Project (Capstone)

  • 0.0
Approx. 14 hours to complete

Course Summary

This course is designed to help you master the techniques and strategies needed for effective survey data analysis. Through a series of online lectures, quizzes, and assignments, you'll learn how to analyze and interpret survey data to make informed decisions.

Key Learning Points

  • Learn how to design effective surveys and collect high-quality data
  • Master the art of data cleaning and preprocessing
  • Develop skills in exploratory data analysis and visualization
  • Learn how to apply statistical techniques to analyze survey data

Job Positions & Salaries of people who have taken this course might have

  • Data Analyst
    • USA: $60,000 - $90,000
    • India: ₹3,00,000 - ₹8,00,000
    • Spain: €25,000 - €40,000
  • Market Research Analyst
    • USA: $50,000 - $90,000
    • India: ₹3,00,000 - ₹7,00,000
    • Spain: €20,000 - €35,000
  • Survey Researcher
    • USA: $40,000 - $70,000
    • India: ₹2,50,000 - ₹6,00,000
    • Spain: €20,000 - €30,000

Related Topics for further study


Learning Outcomes

  • Develop the skills needed to design effective surveys and collect high-quality data
  • Master the art of data cleaning and preprocessing
  • Learn how to apply statistical techniques to analyze survey data and make informed decisions

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of statistics and probability
  • Familiarity with a statistical software package (e.g., R, SAS, SPSS)

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced
  • Interactive

Similar Courses

  • Data Analysis and Interpretation Specialization
  • Applied Data Science with Python Specialization
  • Introduction to Data Science in Python

Related Education Paths


Related Books

Description

The Capstone Project offers qualified learners to the opportunity to apply their knowledge by analyzing and comparing multiple data sources on the same topic. Students will develop a research question, access and analyze relevant data, and critically examine the quality of each data source.

Outline

  • Questionnaire Design
  • Notice for Auditing Learners: Assignment Submission
  • Help us learn more about you!
  • Questionnaire Implementation
  • Sampling and Weighting
  • Data Analysis
  • Post-Course Survey

Summary of User Reviews

Discover the art of data analysis with Survey Data Capstone course on Coursera. Students have praised this course for its hands-on approach in data analysis and interpretation. Explore the world of data science with this capstone course.

Key Aspect Users Liked About This Course

Hands-on approach in data analysis and interpretation

Pros from User Reviews

  • Great practical experience in data analysis
  • Real-world applications of data analysis techniques
  • Excellent guidance from instructors
  • Easy to understand course material
  • Opportunity to work on a real project

Cons from User Reviews

  • Some concepts can be challenging to understand
  • Not suitable for beginners
  • Limited interaction with instructors
  • Some technical issues with the platform
  • Lack of supplementary materials
English
Available now
Approx. 14 hours to complete
Frauke Kreuter, Ph.D., Frederick Conrad, Ph.D., James M Lepkowski, Richard Valliant, Ph.D.
University of Michigan, University of Maryland, College Park
Coursera
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