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Taxonomy for Business Analytics Courses (SoftwareTools (General or Multi…
Taxonomy for
Business Analytics
Courses
Skill level
Introductory or
Foundational
● Few or no prerequisites
● Suitable as a introduction to the topic
Intermediate
● Builds upon on a course of the same topic
Expert
● Builds on several courses of the same topic
● Or prior experience in the area desired
Special Topics
● Topics of interest to a small, specialized audience
● Current trends, "cutting edge", ad hoc
Role
Business
Domain Expert
● Trained in analysis for a
specific a business area
Operations
Marketing
Finance
Accounting
etc.
Data and MIS
● Trained in developing information requirements
● Trained in extracting, transforming, loading data
● Trained data modeling
● Trained in data management and
Master Data Management
"Power User" Analyst
● Is specifically trained and has practiced with a particular analysis method/technique/software tool
● Can guide train novices/"non-analysts"
in performing analysis
● Creates shared artifacts (reports, spreadsheets, templates, etc)
● EXAMPLE: Tableau Power User
Industry
Healthcare
Manufacturing
Transportation/Logistics
Government
Retail/Commercial
Software
Tools
General or
Multi-Purpose
Excel
Visio
MS Project
R
Stats and
Math Modeling
SPSS
R
Data Mining or
Text Mining
SPSS
Simulation
Visualization
Tableau
Excel
Programming Languages
and Platforms
Python
R
Data and
ETL
SQL Server
SAS
Hands-On
Lab Assignments
● Application of theory
to solve concrete problems
Business Cases
● Analytics tied to a particular,
richly described business context
● EXAMPLE: HBR
Projects
● Work that are divided into phases,
usually spanning multiple weeks
Individual
Team
Communication and
Presentation
● Class presentation
● Webinar/Podcast/Video
● "e-learning" resource
● Executive summary, recommendation, report
Capstone or
End-To-End Projects
● Covering more than one "phase"
of the Analytics Life Cycle
● Integrating topics from multiple courses
● Particular focus given to the process of
planning, performing, and delivering analysis
Analysis
Type
Predictive
Make predictions about
future events
Prescriptive
Use optimization and simulation
algorithms to advice on possible outcomes
Exploratory
Find previously unknown relationships
Descriptive
Describing the main
features of a collection of data
Inferential or Causal
● To test theories
● To find out what happens to one variable
when you change another.