DATA 271 - Data Wrangling and Visualization

Units: 4

Provides an intensive, hands-on introduction to data wrangling, cleaning and visualization using a contemporary programming language. Learn the fundamental skills required to acquire, transform, manipulate, and visualize data in a computing environment that fosters reproducibility. The overall goal is to create actionable data from raw sources and then perform exploratory analysis. These steps will include importing data, viewing data diagnostically, identifying outliers, imputing data, cleaning data, calculating basic statistics and creating informative plots.
Division: Lower Division
Requisites: Prerequisites: CS 111 and DATA 111
Permission to enroll: No Special Consent Required
Grading mode: Optional Grade Basis
Weekly: Lecture 3 hrs. Activity 2 hrs.
Possible Instruction Mode(s): In Person

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