Global Certificate in Data Integrity for Journalists
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⢠Data Collection Techniques: Understanding proper data collection methods, including surveys, interviews, and public records research.
⢠Data Cleaning and Preparation: Techniques for cleaning and preparing data for analysis, including handling missing data and outliers.
⢠Data Analysis Tools: Introduction to tools and software commonly used for data analysis, such as Excel, R, and Python.
⢠Data Visualization Best Practices: Techniques for effectively communicating data insights through visualizations, including chart selection and design principles.
⢠Data Integrity and Ethics: Understanding the ethical considerations of working with data, including privacy concerns and responsible reporting practices.
⢠Data Security: Best practices for securing data and protecting sensitive information.
⢠Reproducible Research: Techniques for creating reproducible research, including documentation and version control.
⢠Data Journalism Case Studies: Analysis of successful data journalism projects, highlighting best practices and key takeaways.
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