Data Acquisition and Exploratory Data Analysis

Data acquisition: file structures, web-scraping, database access; ethical aspects of data acquisition; types of data displays; numerical and visual summaries of data; pipelines for data analysis: filtering, transformation, aggregation, visualization and (simple) modeling; good practices of displaying data; data exploration cycle; graphics as tools of data exploration; strategies and techniques for data visualizations; basics of reproducibility and repeatability; web-based interactive applets for visual presentation of data and results.

Taught in Fall 2022, Spring 2018 (newly developed course)
Materials available at https://ds202-at-isu.github.io/