A Massive Online Open Course presented by the Journalism and Media Studies Centreat the University of Hong Kong
Data Journalism Fundamentals
Google and The University of Hong Kong via Independent
This course may be unavailable.
Overview
Syllabus
Session 1: Global Trends & Practices
What is data journalism?
Overview of the best practices and key tools
Trends and future of data journalism - globally and regionally
Session 2: Data Acquisition
Landscape of data availability in Asia
Where to find data: from government websites to social media
How to get data: from FOI requests to scraping without coding
Session 3: Data Analysis & Interpretation
Interview the data to identify its quality
Clean the data with Excel & Open Refine
Explore trends, patterns and relationships behind datasets
Session 4: Data Visualisation
Visual basis: elements, composition and principles
Effective and high impact ways of visualizing data
Tools to make your own visualisations: infographic, timeline, interactive map, and more
Session 5: Storytelling with Data
Telling compelling stories with data and visuals
Best practices for combining shoe leather reporting with data
Constructing narratives from qualitative and quantitative sources
Taught by
Irene Jay Liu, Francesca Valsecchi, Jonathan Stray, Yolanda Jinxin Ma and Simon Rogers
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Reviews
5.0 rating, based on 1 Class Central review
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Great online course of data driven journalism for beginners and for those who are completely new to data journalism. This course is guided by experts who are very clear in presenting the course material so that those who are new to data journalism can understand it well. I highly recommend this course for anyone who wants to learn data journalism.
