Professional Certificate in Data Journalism & Open Data
-- viewing nowThe Professional Certificate in Data Journalism & Open Data is a crucial course designed to equip learners with essential skills in data analysis and visualization for journalism. This program meets the growing industry demand for data-driven stories and open data initiatives.
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Course Details
• Introduction to Data Journalism: Basics of data journalism, understanding data, and its relevance in journalism.
• Finding & Collecting Data: Techniques for locating data sources, web scraping, and data mining.
• Data Cleaning & Preparation: Data wrangling, cleaning, and preparing data for analysis using tools like OpenRefine and Excel.
• Data Analysis with Python: Learning Python for data analysis, focusing on libraries like pandas, NumPy, and Matplotlib.
• Data Visualization: Creating effective visualizations using tools like D3.js, Tableau, and PowerBI.
• Open Data & APIs: Understanding open data, accessing data via APIs, and using open data portals.
• Data Ethics & Privacy: Ethical considerations in data journalism, data privacy, and protecting sources.
• Storytelling with Data: Crafting compelling narratives using data, incorporating data into written stories, and creating interactive stories.
• Data Journalism Projects: Hands-on experience in completing data journalism projects, combining all skills learned throughout the course.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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