Visualizing Data: Techniques and Applications

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Related lectures (32)

Page 3 of 4

Data Journalism: Techniques and Examples

Delves into the fundamentals of data journalism and showcases its impact through real-world examples from The Pudding and The Guardian.

Data Visualization: Excel Charts

Covers the basics of creating and customizing charts in Excel.

Digital Urban History: QGIS Practical Session

Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Structuring exploratory spatial data analysis

Explores the structured approach to exploratory spatial data analysis, emphasizing the importance of analytical frameworks and the Visual Seeking Mantra.

Data Visualization & Storytelling

Delves into data physicalization, expressiveness, feminist visualization, and the balance between exploration and explanation in data visualization.

Air Pollution Analysis

Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.

Data Science Essentials: Pandas, Numpy, Matplotlib

Introduces Pandas, Numpy, and Matplotlib for data analysis and visualization in Python.

Digital History and Digitized Press

Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.

Clustering & Density Estimation

Covers dimensionality reduction, PCA, clustering techniques, and density estimation methods.

Machine Learning Basics

Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.