Advanced Certificate in Data Visualization: Transforming Data into Stories
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⢠Data Visualization Fundamentals – Understanding the basics of data visualization, data types, and data storytelling.
⢠Data Preparation for Visualization – Data cleaning, preprocessing, and wrangling techniques to prepare data for visual analysis.
⢠Chart Design Principles – Designing effective charts, selecting appropriate visual encodings, and understanding best practices for visualization design.
⢠Interactive Data Visualization – Creating interactive data visualizations using modern web technologies like D3.js, HTML, CSS, and JavaScript.
⢠Data Storytelling Techniques – Applying storytelling techniques to data visualization to create compelling narratives that engage and inform audiences.
⢠Visualization Tools and Libraries – Exploring popular visualization libraries like Tableau, PowerBI, and ggplot2, and understanding their strengths and limitations.
⢠Data Journalism – Applying data visualization techniques to journalism, investigative reporting, and data-driven storytelling.
⢠Data Visualization for Business – Using data visualization for business intelligence, decision making, and performance measurement.
⢠Evaluating Visualizations – Assessing the effectiveness of visualizations, measuring their impact, and iterating on designs for continuous improvement.
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