Global Certificate in Journalism & Data Ethics Education

• Data Ethics Fundamentals: Understanding the ethical principles in data journalism, including fairness, accountability, and transparency.
• Data Collection Techniques: Exploring various data collection methods, including surveys, interviews, and public records.
• Data Cleaning and Preparation: Learning how to clean, prepare, and organize data for analysis and visualization.
• Data Analysis Techniques: Examining statistical methods and data analysis techniques for extracting insights from data.
• Data Visualization Best Practices: Understanding the best practices for data visualization, including chart selection, color use, and labeling.
• Data Security and Privacy: Exploring the importance of data security and privacy in journalism, including best practices for handling sensitive data.
• Legal and Regulatory Considerations: Understanding the legal and regulatory landscape for data journalism, including freedom of information laws and data protection regulations.
• Case Studies in Data Journalism Ethics: Examining real-world examples of ethical challenges in data journalism and exploring potential solutions.
• Misinformation and Disinformation: Learning to identify and combat misinformation and disinformation in data journalism.
• Professional Responsibility and Accountability: Understanding the professional responsibility and accountability of data journalists, including ethical decision-making and transparency.