Management Information Systems
MISM 6205: Data Wrangling for Business
Lecture - 3 credits
ND
EI
IC
FQ
SI
AD
DD
ER
WF
WD
WI
EX
CE
- Covers data wrangling principles and techniques for business.
- Key topics include data extraction, profiling, cleansing, integration, aggregation, transformation, and automating data processes for business purposes.
- Applies principles and techniques using data transformation tools, programming languages, and data process automation tools.
- Emphasizes embedding appropriate communication mechanisms for collaboration for identifying, solving, and resolving challenges revealed in datasets and business processes.
- Offers students an opportunity to learn data wrangling techniques to identify, solve, and resolve real-world data challenges, creating business value in today’s disparate computing and dynamic business environment.
Covers data wrangling principles and techniques for business. Show more.
Pre-requisites