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Data Journalism Fundamentals

Google and The University of Hong Kong via Independent

1 Review 130 students interested
Found in Data Science

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Overview

A Massive Online Open Course presented by the Journalism and Media Studies Centreat the University of Hong Kong

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

Review for Data Journalism Fundamentals
5.0 Based on 1 reviews

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Anonymous
5.0 3 months ago
Anonymous completed this course.
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.
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