Structuring exploratory spatial data analysis

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Cognitive processes for data exploration

Explores cognitive processes in data analysis, focusing on visual thinking and simplification to extract insights from data.

Data Science: Python for Engineers - Part II

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

Introduction: ESDA in environmental health

Introduces exploratory data analysis in environmental health, covering its definition, techniques, and applications in georeferenced health data analysis.

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.

Analytical Design: Graphic Communication

Explores the use of aesthetics, visual metaphors, readability, and data integrity in creating effective visual representations.

LabVIEW: Display and DAQ

Covers LabVIEW programming for data acquisition and display, including LabVIEW sound and visualization.

Mood disorders and urban environment

Delves into the relationships between mood disorders, cognitive performance, and brain plasticity in urban environments, using data from medical cohorts.

Visual Extensions in the Workplace

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

Data Science Engineering: A Cognitive Science Perspective

Delves into the importance of understanding thought processes in data science tasks.

Scopes and Lambdas: Data Science with Python

Covers scopes, lambdas, and pandas in data science with Python, including nested declarations, scoping, assignments, and pandas manipulation.