BUSAN 300 - Data Wrangling
Faculty
Business and Economics
Department
Info Systems & Operations Mgmt
Points:
15
Available Semesters:
{}
Course Components
Labs
Tutorials
Lectures
Exam
TBLs
Workshops
Description: Organisations are increasingly adopting big data analysis, predictive analytics, social data mining, and deep machine learning to gain business intelligence and insight. The value of such technologies relies on having high-quality data, yet raw data is messy and its transformation to add value is often neglected. Students will explore a data wrangling toolbox to add value to data.
Prerequisites / Restrictions
Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222 Restriction: INFOMGMT 390
Average Rating From 0 Reviews
Teaching Quality
-
Content Quality
-
Workload
-
Difficulty
-
0% - Would Recommend
0% - Would Not Recommend
Reviews