Description
Module 1: Introduction to Data Journalism
– Overview of data journalism and its role in storytelling.
– The importance of data-driven reporting in the digital age.
– Historical developments in data journalism.
Module 2: Data Collection and Analysis
– Study of data collection methods for journalism.
– Gathering, cleaning, and organizing datasets.
– Data analysis techniques and tools for journalists.
Module 3: Data Visualization
– Exploration of data visualization techniques.
– Creating charts, graphs, and interactive visualizations.
– Using visuals to enhance storytelling.
Module 4: Data Ethics and Privacy
– Understanding ethical considerations in data journalism.
– Protecting privacy, consent, and data security.
– Ethical decision-making in data-driven reporting.
Module 5: Open Data and Freedom of Information (FOI)
– Introduction to open data sources and FOI requests.
– Accessing government data and public records.
– Using open data for investigative reporting.
Module 6: Data-Driven Storytelling
– Crafting data-driven narratives for news stories.
– Identifying compelling angles and insights in data.
– Combining data with traditional reporting techniques.
Module 7: Data Journalism Projects
– Real-world data journalism projects.
– Investigative data reporting and visualization.
– Presenting data-driven stories to the public.
Module 8: Case Studies in Data Journalism
– Analyzing real-world data journalism cases.
– Learning from impactful data-driven reporting and addressing challenges.
– Problem-solving and decision-making in data journalism scenarios.
Module 9: Future Trends in Data Journalism
– Current research trends and innovations in data journalism.
– Emerging technologies (e.g., AI, machine learning) and their impact on data analysis.
– Preparing for the future of data journalism in journalism practice.
