Data Journalism
Section outline
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Welcome to our online self-paced data journalism course! In today's information age, data literacy is essential for journalists. Our course covers statistical concepts, data visualization, and ethical considerations. Learn at your own pace using industry-standard tools. Explore case studies to navigate ethical dilemmas. By course end, you'll craft compelling data-driven stories ethically and confidently. Join us on this transformative journey! This course has been created as part of XQEUJOY project, an initiative for promoting European Youth Journalism, funded by the European Commission (Project Reference: 101112328 - CREA-CROSS-2022-JOURPART).Discover more at:
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Explore the fundamentals of data journalism, including the nature of data and its significance in storytelling. Learn the importance of acquiring data in machine-readable formats for efficient analysis and utilization. Discover the role of metadata in contextualizing and organizing data effectively. Gain insights into locating data through various resources and techniques. Understand the importance of data verification for accuracy and credibility. Navigate licensed content to determine reuse permissions and select appropriate licenses for publishing your work. Master the essentials of data journalism for impactful storytelling.
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Understand the importance of data cleaning and its role in ensuring the accuracy and reliability of your datasets. Explore the components of a typical data cleaning checklist and learn how to execute common data cleaning tasks effectively. Discover practical techniques for merging sheets, extracting values, finding and replacing strings, geocoding addresses, and removing duplicates. Gain proficiency in using spreadsheets and other tools to streamline your data cleaning process. Enhance your data analysis skills by mastering the art of data cleaning, empowering you to derive meaningful insights from your datasets with confidence.
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Discover how to leverage Google Sheets to plot and compute basic statistics, uncovering compelling stories within your data. Explore the statistical techniques employed to generate captivating data narratives and visualizations. Dive into understanding the distribution of data, identifying outliers, and filtering and comparing different groups within your datasets. Learn how to interpret rates and ratios, utilizing practical examples to solidify your understanding. Equip yourself with the skills to analyze and visualize data effectively, transforming raw information into impactful stories and insights.
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Learn the significance of "designing for an audience" in data visualization and storytelling. Understand the process of determining the appearance and function of your charts. Explore the concept of "visual hierarchy" and its role in creating effective visualizations. Discover strategies for handling imperfect data with integrity. Gain insights into designing accessible and respectful data visualizations. Identify common pitfalls of misleading graphs and techniques to avoid them. Explore a range of tools for planning and crafting compelling data visualizations. Master the art of creating impactful visual stories through data.
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Now it's time to get your hands dirty by working with data. Follow the instructions and create your data analysis, data visualization, and data storytelling.
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Many thanks for completing the Data Journalism Course. We would appreciate your feedback for our continuous improvement. Please fill the end of course survey below, or in this link. It should not take more than 5 minutes.