Framework for Data Collection and Analysis

Coursera MOOC / Non-credit USD 49
Enroll now →
Framework for Data Collection and Analysis

About this course

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.

What you'll learn

  • Understand data collection landscape
  • Identify suitable data sources for research questions
  • Develop measurable components from research questions
  • Construct analysis plans
  • Evaluate data quality and quantify errors

Course objectives

  • Provide a comprehensive overview of data products
  • Explain the steps for successful data collection and analysis
  • Introduce large-scale data collection efforts

Skills you'll gain

Related courses

Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.