DS 2020: Data Acquisition and Exploratory Data Analysis
Credits: 3. Contact Hours: Lecture 3.
Prereq: DS 2010
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. Programming exercises.
(Typically Offered: Fall, Spring)