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Visualization for Data Journalism
  • Level Foundation
  • Duration 18 hours
  • Course by University of Illinois Urbana-Champaign
  • Offered by

About

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors. The purpose of this class is to learn how to think about the visual presentation of data, how and why it works, and how to doit the right way. We will learn how to make graphs like The New York Times, Vox, Pew, and FiveThirtyEight. In the end, you can share–embed your beautiful charts in publications, blog posts, and websites. This course assumes you understand basic coding skills, preferably Python. However, we also provide a brief review on Python in Module 1, in case you want to refresh yourself on the basics and perform simple data analysis.

Modules

About the Course

    • 1 Videos
    • 2 Readings
    • 2 Quiz
Show info about module content

1 Videos

  • Introduction

2 Readings

  • Syllabus
  • About the Discussion Forums

2 Quiz

  • Orientation Quiz
  • Demographics Survey

About Your Classmates

    • 1 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Getting to Know Your Classmates

1 Readings

  • Updating Your Profile

Module 1 Information

    • 1 Readings
Show info about module content

1 Readings

  • Module 1 Overview

Module 1 Lesson

    • 3 Videos
    • 1 Readings
Show info about module content

3 Videos

  • 1.1 Data Visualization in Journalism: History and Development
  • 1.2 Types of Charts and Graphs: Choosing the Right Chart for the Right Task
  • 1.3 What Makes a Good Data Visualization?

1 Readings

  • Module 1 Reading

Module 1 Activities

    • 1 Quiz
    • 1 Lab
Show info about module content

1 Labs

  • Basic Python Coding

1 Quiz

  • Module 1 Quiz

Module 2 Overview

    • 1 Readings
Show info about module content

1 Readings

  • Module 2 Overview

Module 2 Lesson

    • 3 Videos
    • 1 Readings
Show info about module content

3 Videos

  • 2.1 Journalism First
  • 2.2 Drilling Down on Numbers
  • 2.3 Data Visualization & Visual Perception

1 Readings

  • Module 2 Reading

Module 2 Activties

    • 1 Quiz
    • 1 PeerReview
    • 2 Lab
Show info about module content

1 Peer Review

  • Find and Critique a Visualization

2 Labs

  • Data Wrangling 1: Basic
  • Data Wrangling 2: Data Practice

1 Quiz

  • Module 2 Quiz

Module 3 Overview

    • 1 Readings
Show info about module content

1 Readings

  • Module 3 Overview

Module 3 Lesson

    • 3 Videos
    • 1 Readings
Show info about module content

3 Videos

  • 3.1 Narrative Storytelling 1
  • 3.2 Narrative Storytelling 2
  • 3.3 CRAP: The Principles of Design

1 Readings

  • Module 3 Reading

Module 3 Activities

    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Basic Charting I (Bar Charts & Line Charts)
  • Basic Charting I (Scattor Plots)

1 Quiz

  • Module 3 Quiz

Module 4 Overview

    • 1 Readings
Show info about module content

1 Readings

  • Module 4 Overview

Module 4 Lesson

    • 3 Videos
    • 1 Readings
Show info about module content

3 Videos

  • 4.1 How Color Communicates Meaning
  • 4.2 Gestalt Principles
  • 4.3 The Role of Memory in Vision

1 Readings

  • Module 4 Reading

Module 4 Activities

    • 1 Quiz
    • 1 PeerReview
    • 1 Lab
Show info about module content

1 Peer Review

  • Using Plotly for Data Visualization

1 Labs

  • Basic Charting II (Maps)

1 Quiz

  • Module 4 Quiz

Wrapping Up the Course

    • 1 Quiz
Show info about module content

1 Quiz

  • End of Course Survey

Auto Summary

"Visualization for Data Journalism" is a foundational course in Data Science & AI, designed for aspiring data journalists. Led by Coursera, it focuses on mastering the visual presentation of data, akin to work by The New York Times and FiveThirtyEight. Over 1080 minutes, learners will explore creating impactful news graphics and embedding them in various publications. Basic Python knowledge is recommended, but a review is provided. Subscription options include Starter and Professional, making it accessible for beginners aiming to enhance their storytelling with data.

Margaret Ng
Instructor

Margaret Ng