Scripting for the data analysis pipeline. Acquiring, accessing and transforming data In the forms of structured, semi- structured and unstructured data.
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.
Students of the Master’s Degree program on Information Management and the Master’s Degree program on Applied Data Science are the primary audience for this course. Students in other graduate degree programs may enroll with permission of theinstructor.
After taking this course, students will be able to:
IST 652 Fall 2020 Semester Syllabus- Carlos Caicedo Bastidas
IST 652 Quarter Term Syllabus - Deborah Landowski