Global Certificate in Data Journalism Practices
-- ViewingNowThe Global Certificate in Data Journalism Practices is a comprehensive course designed to empower journalists, communicators, and data analysts with the skills to present data-driven stories effectively. This course is critical in today's digital age, where data has become an essential tool for informed decision-making and storytelling.
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GBP £ 140
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โข Data Collection: Basics of data collection, including public records, databases, and APIs. Understanding data formats such as CSV, JSON, and XML.
โข Data Cleaning: Techniques for cleaning and preparing data for analysis, including handling missing data, outliers, and inconsistencies.
โข Data Analysis: Introduction to statistical analysis and data visualization. Using software such as R or Python to analyze data.
โข Data Visualization: Creating effective visualizations of data, including charts, graphs, and maps. Best practices for designing visualizations for different audiences.
โข Investigative Journalism: Techniques for investigative journalism, including researching public records, interviewing sources, and uncovering hidden stories.
โข Ethics in Data Journalism: Ethical considerations in data journalism, including privacy, transparency, and accountability. Ensuring accuracy and fairness in data-driven stories.
โข Data Security: Best practices for securing data and protecting sources, including encryption, anonymization, and secure communication.
โข Storytelling with Data: Crafting compelling narratives from data, including structuring stories, selecting data, and writing for different audiences.
โข Machine Learning: Introduction to machine learning techniques and how they can be applied to data journalism. Using algorithms to uncover patterns and insights in data.
โข Collaborative Journalism: Working with other journalists, organizations, and communities to produce data-driven stories. Best practices for collaboration, including communication, project management, and data sharing.
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