Big Data Analytics for Business
QST IS 843
Graduate Prerequisites: Python basics (e.g. IS717, IS834, QM877 (Python Bootcamp) or equivalen t); Some prior experience with analytics (e.g. IS823, IS833, IS834, IS 841, MK842, MK872, MK876); or permission of the instructor. - This programming-based analytics course will cover how to perform statistical analysis of large datasets that do not fit on a single computer. We will design a Hadoop cluster on Google Cloud Platform to analyze these datasets. Utilizing Spark, Hive, and other technologies, students will write scripts to process the data, generate reports and dashboards, and incorporate common business applications. Students will learn how to use these tools through Jupyter Notebooks and experience the power of combining live code, equations, visualizations, and narrative text. Employer interest in these skills is very high. Basic programming in python, and basic analytics are prerequisite.
FALL 2024 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
E1 | Soltanieh Ha | HAR 304 | W 6:30 pm-9:15 pm | Meets with BA843. Instructor will be Prof. Soltanieh-ha |
SPRG 2025 Schedule
Section | Instructor | Location | Schedule | Notes |
---|---|---|---|---|
D1 | Tibert | HAR 208 | T 3:30 pm-6:15 pm |
Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.