Global Certificate in Data-driven Journalism: Storytelling Techniques
-- ViewingNowThe Global Certificate in Data-driven Journalism: Storytelling Techniques is a crucial course for journalists, media professionals, and anyone interested in presenting data in a compelling way. With the increasing industry demand for data-driven stories, this certificate equips learners with essential skills to excel in their careers.
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⢠Data Acquisition: This unit will cover various techniques for acquiring and collecting data from different sources, including web scraping, APIs, and databases.
⢠Data Cleaning: This unit will focus on data cleaning techniques, including handling missing data, outliers, and inconsistencies in data sets.
⢠Data Analysis: This unit will cover various data analysis techniques, including statistical analysis, data visualization, and data mining.
⢠Storytelling with Data: This unit will teach students how to present data in a way that tells a compelling story, including choosing the right data visualizations, structuring data narratives, and writing data-driven stories.
⢠Interactive Data Visualization: This unit will cover the creation of interactive data visualizations, including using JavaScript libraries such as D3.js and web-based tools such as Tableau.
⢠Data Ethics: This unit will cover ethical considerations in data journalism, including privacy concerns, bias, and accuracy.
⢠Advanced Data Analysis: This unit will cover advanced data analysis techniques, including machine learning algorithms and predictive modeling.
⢠Data Journalism Tools: This unit will cover various tools and software used in data journalism, including Excel, R, and Python.
⢠Data Journalism Case Studies: This unit will examine real-world examples of data journalism, including investigative journalism, data-driven reporting, and advocacy journalism.
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