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Scripting for the data analysis pipeline. Acquiring, accessing and transforming data In the forms of structured, semi- structured and unstructured data. Additional work for graduate students.The goal of this class is to teach students the tools and skills of scripting needed to solve problems of accessing and preparing data in a variety of formats and situations, sometimes known as data wrangling. The scripting learned will provide the skills needed to form data science pipelines, from acquiring and cleaning data to accessing data and transforming data for analysis or visualization.
Credit(s)
3.0
Professor of Record
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Course Syllabus
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Audience
Learning Objectives
After taking this course, students will be able to:
- Write scripts to access and amass information from files of structured data, access files in semi-structured data, and to define and find patterns in unstructured data.
- Prepare and transform data to produce data summaries, lists, and networks.
- Analyze and solve data access problems for the three types of data and to find and deploy appropriate software packages that can be integrated into the problem solution.
- Frame real world data questions and show how they can be answered with data.
Course Syllabi
IST 652 Fall 2020 Syllabus- Hoyos, Hernando
IST 652 Fall 2020 Syllabus- Nichols, Benjamin
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