Professional Certificate in Data Journalism Fundamentals
-- ViewingNowThe Professional Certificate in Data Journalism Fundamentals is a comprehensive course that equips learners with essential skills for career advancement in the data journalism industry. This program covers critical areas including data collection, cleaning, analysis, and visualization, enabling learners to tell compelling stories through data.
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⢠Data Collection: Understanding data sources, web scraping, APIs, and Freedom of Information requests.
⢠Data Cleaning: Techniques for data cleaning, data wrangling, and data transformation using tools like OpenRefine and Excel.
⢠Data Analysis: Basics of statistical analysis, data visualization, and data storytelling using tools like R and Python.
⢠Data Visualization: Creating compelling visualizations with libraries like D3.js, Tableau, and PowerBI.
⢠Interactive Visualizations: Building interactive web-based visualizations with tools like Observable and Shiny.
⢠Data Ethics: Exploring ethical considerations in data journalism, including data privacy, bias, and transparency.
⢠Data-driven Storytelling: Techniques for turning data into engaging narratives, including structuring stories, finding human interest angles, and writing compelling ledes.
⢠Data Journalism Tools: Overview of popular data journalism tools, including Excel, SQL, R, Python, and Tableau, and their use cases.
⢠Data Journalism Best Practices: Best practices for data journalism, including reproducibility, collaboration, and documentation.
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