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

Framework for Data Collection and Analysis

This course is part of Survey Data Collection and Analytics Specialization

Taught in English

Some content may not be translated

Frauke Kreuter, Ph.D.
Mariel Leonard

Instructors: Frauke Kreuter, Ph.D.

30,457 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.2

(729 reviews)

|

93%

Intermediate level
Some related experience required
9 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.2

(729 reviews)

|

93%

Intermediate level
Some related experience required
9 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the Survey Data Collection and Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

The first course in the specialization provides an overview of the topics to come. This module walks you through the process of data collection and analysis. Starting with a research question and a review of existing data sources, we cover survey data collection techniques, highlight the importance of data curation, and discuss some basic features that can affect your data analysis when dealing with sample data. Issues of data access and resources for access are introduced in this module.

What's included

9 videos5 readings1 quiz2 discussion prompts

In this module we will emphasize the importance of having a well-specified research question and analysis plan. We will provide an overview over the various data collection strategies, a variety of available modes for data collection and some thinking on how to choose the right mode.

What's included

6 videos2 readings1 quiz

In this module you will be introduced to a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also helps 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.

What's included

8 videos3 readings1 quiz

In this module we introduce a few surveys across a variety of topics. For each we highlight data collection features. The surveys span a variety of topics. We challenge you to think about alternative data sources that can be used to gather the same information or insights.

What's included

8 videos2 readings1 quiz2 discussion prompts

Instructors

Instructor ratings
4.1 (143 ratings)
Frauke Kreuter, Ph.D.
University of Maryland, College Park
4 Courses59,239 learners

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