Global Certificate in Connected Data Journalism
-- ViewingNowThe Global Certificate in Connected Data Journalism is a comprehensive course that equips learners with essential skills to excel in the rapidly evolving field of data journalism. This certificate program highlights the importance of connecting data stories to real-world issues, fostering a deeper understanding of data-driven storytelling.
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โข Introduction to Connected Data Journalism: Understanding the basics of data journalism and how it relates to connected data.
โข Data Collection: Techniques for gathering data from various sources, including web scraping and APIs.
โข Data Cleaning and Preparation: Cleaning and preparing data for analysis and visualization.
โข Data Analysis: Analyzing data using statistical methods and data mining techniques.
โข Data Visualization: Techniques for visualizing data using charts, graphs, and other visual aids.
โข Linked Data and the Semantic Web: Understanding the principles of linked data and the semantic web, and how they can be used in journalism.
โข Network Analysis: Analyzing networks of relationships between people, organizations, and other entities.
โข Ethics in Connected Data Journalism: Ethical considerations when working with data and connected data.
โข Storytelling with Connected Data: Techniques for telling stories with data and connected data.
โข Advanced Topics in Connected Data Journalism: Exploring advanced topics in connected data journalism, such as natural language processing and machine learning.
Note: This is a sample list of units that could be included in a Global Certificate in Connected Data Journalism program. The actual units and topics covered may vary based on the specific curriculum and goals of the program.
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