Data Visualization: Principles and Techniques

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Related lectures (32)

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Visualizing Data: Techniques and Applications

Explores techniques and applications of data visualization, emphasizing the importance of effective communication and unconventional examples.

World of Data: Visualization and Ethics

Explores data visualization's significance in communication and cognition, along with ethical considerations.

Visualization: Techniques and Applications

Explores scientific visualization techniques and applications for understanding physical phenomena and communicating results effectively.

Data Science Fundamentals

Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.

Data Science Fundamentals

Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.

Visual Extensions in the Workplace

Explores the use of visual extensions, such as virtual reality and augmented reality, in enhancing workplace efficiency and communication.

Principal Component Analysis: Dimension Reduction

Covers Principal Component Analysis for dimension reduction in biological data, focusing on visualization and pattern identification.

Case Study: GIS and Participatory Planning

Explores GIS application in participatory planning through case studies in Thies and Seychelles, emphasizing the importance of simplicity and user engagement.

Data Visualization: Principles and Practices

Emphasizes the importance of data visualization techniques and practices for effective data analysis and communication.

Clustering & Density Estimation

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