1. Data Management and Governance

Label	KSAC Description		Bloom's Taxonomy Level	Cross-Cutting
a	Awareness of definitions of key terms of data analysis such as: data engineering, data repository, data governance, machine learning, deep learning, accuracy, precision, recall, data privacy, model drift, auto-tagging, etc.	knowledge	1
b	Explain the important issues around data governance, including change management purpose and structure	knowledge	2	Generalist 5e, Machine Learning 5d
c	Understand data profiling; explain data summarization, sanity checks, and validation	knowledge	2
d	Differentiate common data typologies, including structured vs. unstructured, numeric vs. text, root vs. derived	knowledge	3	Generalist 1b
e	Explain the difference between a logical and physical data diagram	knowledge	2
f	Recognize and explain the importance of Key Performance Indicators and Metrics and how to describe and communicate data for KPIs	knowledge	2
g	Recognize the basic data governance issues across the data analytics lifecycle phases	knowledge	3