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Coursera

Using Large Datasets for Research

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Overview

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This course teaches the essentials of big data, from understanding its principles to accessing and using large datasets. You'll learn to explore research questions with big data, develop data exploration skills, and handle big data effectively. By the end, you'll be equipped to analyze both quantitative and qualitative big data confidently.

Syllabus

  • What Is Big Data?
    • This module introduces the fundamentals of big data, exploring what big data is, how it is measured, and how large datasets are accessed and managed. You will learn key concepts and principles for working with big data, including the differences between open, public, and private data, and examine the ethical considerations involved in using large datasets for research.
  • Big Datasets: Why Use Them?
    • This module explores how researchers can use open, publicly available data to inform their work. You will learn the differences between big data and big datasets, discover how to access and work with large-scale data sources, and develop skills for finding, assessing, and exploring datasets suitable for research.
  • Big Data: How Do I Use It?
    • This module focuses on developing effective research questions for working with big data. You will explore the types of questions that can be investigated using large datasets, learn how to incorporate big data considerations into research design, and build practical data exploration skills by examining datasets through a range of research questions.
  • How Do I Handle Big Data?
    • This module introduces practical approaches to working with big data in social research. You will explore how big data connects to established research methodologies, develop strategies for analyzing large datasets, and gain experience working with both quantitative and qualitative data without requiring prior knowledge of specific analytical techniques.
  • Using Large Datasets for Research Glossary
    • In addition to the glossary you’ll find woven throughout the course, you can find the full glossary collated in one place here.

Taught by

Sage Instructors

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