IST 718 - Big Data Analytics
Course Description
A broad introduction to analytical processing tools and techniques for information professionals. Students will develop a portfolio of resources, demonstrations, recipes, and examples of various analytical techniques.
Credit(s)
3.0
Prerequisite/Co-requisite
IST687 or IST387 with a minimum grade of a B or higher. Familiarity with command-line interfaces, quantitative skills including statistics, a basic knowledge of linear algebra, basic probability, basic statistics, basic calculus, strong algebra skills, and strong programming skills in Python or some other language. Please refer to https://acuna.io/teaching/IST718Â
Professor of Record
Daniel Acuna
Audience
Graduate Students
Learning Objectives
After taking this course, students will be able to:
- Translate a business challenge into an analytics challenge. Â
- Use linear and logistic regression, decision trees, and neural networks to make predictions.  Â
- Use data science to gain actionable insights. Â
- Use Python and Apache Spark to build big data analytics pipelines. Â
- Learn classic and state of the art machine learning techniques.Â
- Explain how advanced analytics can be leveraged to create a competitive advantage.  Â
Course Syllabi
IST 718 Fall 2021 Syllabus - Daniel Acuna
IST 718 Fall 2021 Syllabus- Yang Yang
Other iSchool Courses
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