Course summary:

This course provides a hands-on introduction to data visualization and storytelling fundamentals. Through a practical approach, students will learn to transform data into effective visualizations by combining accessible tools (such as Power BI, R, Python, and GIS) and fundamental design principles, including color theory and typography. This course is designed for undergraduate students from any area of study who have a basic knowledge of statistics and wish to enhance their ability to communicate data effectively.

Instructor’s biography

Carlos Alfonso Mantilla Duarte

Carlos Alfonso Mantilla Duarte is a Ph.D. candidate in Mathematical and Applied Statistics at the University of Granada and holds a Master’s in Applied Statistics. He is currently a professor at Universidad Industrial de Santander, where he has taught courses in statistics and econometrics, with a strong interest in data visualization and spatio-temporal models. With extensive experience in applied research, he has contributed to numerous publications and presentations at international conferences. His areas of expertise include spatial statistics, Bayesian analysis, and data modeling.

Affiliation: Universidad Industrial de Santander

Learning Outcomes

Participants will

• Identify essential elements for designing effective data visualizations.
• Apply storytelling techniques and design principles to create impactful and accessible visualizations.
• Use basic visualization tools (Power BI, R, Python, and GIS) to communicate insights.
• Evaluate visualizations for accuracy, clarity, and narrative aesthetics."

For whom is this course intended?

Graduate and undergraduate students from any field who have a basic knowledge of statistics and an interest in data analysis and effective communication.