Framework for Data Collection and Analysis
- 4.2
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Course Summary
Learn how to collect data effectively and efficiently with this course on data collection framework. Discover the different techniques and methods for gathering data, and gain insights on how to apply them to your own projects.Key Learning Points
- Understand the importance of data collection in decision-making
- Learn how to design a data collection plan
- Discover various data collection techniques and methods
Job Positions & Salaries of people who have taken this course might have
- Data Analyst
- USA: $62,453
- India: ₹450,000
- Spain: €27,000
- Market Research Analyst
- USA: $54,614
- India: ₹410,000
- Spain: €24,000
- Business Intelligence Analyst
- USA: $71,733
- India: ₹700,000
- Spain: €33,000
Related Topics for further study
Learning Outcomes
- Design a data collection plan for your project
- Apply different data collection techniques to gather quality data
- Analyze and interpret data using statistical methods
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Familiarity with research methodology
Course Difficulty Level
IntermediateCourse Format
- Online Self-paced Course
- Video Lectures
- Quizzes and Assignments
Similar Courses
- Data Analysis and Visualization
- Research Methods: Data Analysis, Presentation, and Interpretation
Related Education Paths
Notable People in This Field
- Nate Silver
- Hans Rosling
Related Books
Description
This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Furthermore this course will provide you with a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products.
Outline
- Research Designs and Data Sources
- Research Question Design
- Types of Data
- Examples of Found Data
- Visualizing the Data Generation Process
- Data Curation
- Data Analysis
- Access Issues
- Access Resources
- Summary
- Course Overview
- Readings and Resources List
- Handouts
- AAPOR (2015)
- Couper (2013)
- Quiz for Week 1
- Measurements and Analysis Plan
- Issues with Inductive Reasoning
- Planning on What You Want to Observe
- Planning on How to Collect Data
- New Modes
- Web and Google
- Choosing a Mode
- Handouts
- Jäckle et al. (2015)
- Quiz for Week 2
- Quality Framework
- Quality of Data
- Inference
- Survey Life Cycle from a Design Perspective - Measurement
- Survey Life Cycle from a Design Perspective - Representation
- Survey Lifecycle from a Process Perspective
- Survey Lifeycle from a Quality Perspective
- Survey Lifecycle from a Quality Perspective (II) - Metrics
- Survey Lifecycle from a Quality Perspective (III) - Coverage and Sampling
- Handouts
- Groves (2011)
- Groves & Lyberg (2010)
- Quiz for Week 3
- Application of TSE Framework to Existing Surveys
- NCVS
- NSDUH
- SCA
- NAEP
- BRFSS
- CES
- SHARE
- ESS
- Handouts
- Davidov (2008)
- Quiz for Week 4
Summary of User Reviews
Discover the best data collection practices and techniques with this comprehensive course from Coursera. Students love the interactive and engaging content that makes learning fun and easy. Gain valuable skills and knowledge to enhance your career in data collection.Key Aspect Users Liked About This Course
Interactive and engaging contentPros from User Reviews
- Comprehensive course with valuable information
- Easy to understand and follow
- Great for beginners and experts alike
- Interactive and engaging content
- Good mix of theory and practical application
Cons from User Reviews
- Some technical issues with the platform
- Course can be time-consuming
- Not much focus on specific tools or software
- Could benefit from more hands-on exercises
- Limited interaction with instructors
Frauke Kreuter, Ph.D.
4.2 Raiting
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