University of Illinois at Urbana-Champaign
Visualization for Data Journalism
University of Illinois at Urbana-Champaign

Visualization for Data Journalism

Taught in English

Some content may not be translated

9,217 already enrolled


Gain insight into a topic and learn the fundamentals

Margaret Ng

Instructor: Margaret Ng


(67 reviews)

Beginner level

Recommended experience

17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

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There are 6 modules in this course

In this module, you will become familiar with the course, your classmates, and the learning environment.

What's included

1 video3 readings2 quizzes1 discussion prompt

This module starts with a summary of the history and emerging trends of data visualization in journalism. You will then explore various types of charts and compare their pros and cons. By doing so, you will be able to recognize a wide variety of graphical forms and evaluate their capabilities/shortcomings as well as what situations each chart type is typically used in storytelling. We will also go through the classic reading by Edward Tufte, The Visual Display of Quantitative Information, and learn how to locate and articulate errors and deception in data visualization.

What's included

3 videos2 readings1 quiz1 ungraded lab

In this module, we will first look at some examples of successful data visualizations in journalism. We will then drill down on numbers, learning the process of transforming data into information. Next, we will explore theories in visual perception and concepts in visualization and familiarize ourselves with the visual channel ranking—a useful guideline in designing news visualizations. You will evaluate pre-attentive attributes and why they are important in visualizations. You will also have hands-on practice to learn how data wrangling helps us make informed decisions.

What's included

3 videos2 readings1 quiz1 peer review2 ungraded labs

In this module, we will learn about the frameworks and techniques that can be used to integrate visualizations into a narrative. You will examine the role messaging and interactions play in drawing readers into a story package that contains greater detail. For the hands-on exercise, you will start creating graphs in Python. You will apply design theories and concepts you previously learned to build line charts, bar charts, and scatter plots.

What's included

3 videos2 readings1 quiz2 ungraded labs

In this final module, we will explore some related concepts of cognition and memory in visualization. You will examine the importance of using the “right” amount of color in the right place and apply Gestalt principles to de-clutter your data visualization. In the end, we will work on various exercises to create interactive maps with Python.

What's included

3 videos2 readings1 quiz1 peer review1 ungraded lab

What's included

1 quiz


Instructor ratings
4.3 (16 ratings)
Margaret Ng
University of Illinois at Urbana-Champaign
1 Course9,217 learners

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