About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Basic Python

Approx. 18 hours to complete

English

Skills you will gain

Python Libraries
Data Analysis
Plotly
Data Reporting
Data Visualization (DataViz)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Basic Python

Approx. 18 hours to complete

English

Instructor

Instructor rating

4.33/5 (16 Ratings)

Margaret Ng

Assistant Professor

Department of Journalism

7,832 Learners

1 Course

Syllabus - What you will learn from this course

Week

1

Week 1

1 hour to complete

Course Orientation

1 hour to complete

1 video (Total 3 min), 3 readings, 2 quizzes

3 hours to complete

Module 1: Visualization in Newsrooms

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.

3 hours to complete

3 videos (Total 39 min), 2 readings, 1 quiz

Week

2

Week 2

5 hours to complete

Module 2: Data and Visual Perception

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.

5 hours to complete

3 videos (Total 35 min), 2 readings, 2 quizzes

Week

3

Week 3

3 hours to complete

Module 3: Narrative Storytelling

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.

3 hours to complete

3 videos (Total 28 min), 2 readings, 1 quiz

Week

4

Week 4

6 hours to complete

Module 4: Cognitive Load and Color Perception

6 hours to complete

3 videos (Total 37 min), 2 readings, 2 quizzes

Reviews

4.5

28 reviews

5 stars
74.24%
4 stars
15.15%
3 stars
4.54%
2 stars
3.03%
1 star
3.03%

TOP REVIEWS FROM VISUALIZATION FOR DATA JOURNALISM

by AAJun 11, 2020

Comprehensive course to helping us how to use data for journalism as well as will help us in understanding data in newspapers.

by WLDec 25, 2020

Dr. Ng is clear and concise in her explanations and did a great job creating an entry-level overview course on data visualization which she obviously has a great wealth of knowledge.

by DCJul 12, 2020

Well organised and with a lot of commitment from the faculty. I would like to see deeper discussions on most of the topic in the future. Thank you

by HHSep 23, 2019

Thanks very much for great content and the instructor did a great job, and her materials were very use helpful and relevant! Great experience!

View all reviews

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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Visualization for Data Journalism