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SI 601: Data Manipulation

Aims to help students get started with their own data harvesting, processing, and aggregation. Data analysis is crucial to evaluating and designing solutions and applications, as well as understanding users' information needs and uses. In many cases, the data we need to access is distributed online among many Web pages, stored in a database or available in a large text file. Often these data (e.g., Web server logs) are too large to obtain and/or process manually. Instead, we need an automated way to gather the data, parse it, and summarize it before we can do more advanced analysis. In this course, you will learn to use Perl and its modules to accomplish these tasks in a quick and easy yet useful and repeatable way. The companion half of this half-semester course, SI 618: "Exploratory Data Analysis," teaches how to further glean insights from the data through analysis and visualization.

Credits: 1.5

Term offered: Fall

Prerequisites:
Session 1; 618 is Session 2

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