University of Maryland - Framework for Data Collection and Analysis
- Offered byCoursera
Framework for Data Collection and Analysis at Coursera Overview
Duration | 10 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Framework for Data Collection and Analysis at Coursera Highlights
- 20% started a new career after completing these courses.
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Framework for Data Collection and Analysis at Coursera Course details
- 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.
Framework for Data Collection and Analysis at Coursera Curriculum
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
J¤ckle 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
Framework for Data Collection and Analysis at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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