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DAC Tracks

DAC is organized as three tracks, each designed to meet the learning and certification needs of particular roles and responsibilities.
  • The Business Analysis track is designed for business professionals who need to analyze dataŚmanagers, knowledge workers, and business and data analysts.
  • The Data Analytics track is suited to information management professionals with responsibility for BI and performance management systems.
  • The Advanced Analytics track is designed for those with data mining and data science roles and responsibilities.

To meet DAC academic requirements in a track you must complete two required courses (R), plus two elective courses, and pass the corresponding exams.

Courses (in alphabetical order)
DAC Track
Business Analysis
Data Analytics
Advanced Analytics
AI Fundamentals
Analytical Modeling, Evaluation, & Deployment

R
Analytics Fundamentals
R
Analytics-Based Enterprise Performance Management

Big Data Fundamentals
Data Analysis Fundamentals R
Data Mining Concepts & Techniques
Data Mining in R

Data Science Fundamentals

Data Understanding & Preparation for Analytics & Data Science

R
Data Visualization and Storytelling R R
Diagnostic Analytics Using Statistical Process Control

Framing & Planning Analytics & Data Science Projects

Fundamentals of Business Intelligence

Fundamentals of Machine Learning

Fundamentals of Predictive Analytics
Introduction to NoSQL
Location Intelligence and GIS
Prescriptive Analytics Using Simulation Models

Putting the Science in Data Science

Root Cause Analysis

Streaming Data Concepts, Applications & Technologies
Web Analytics
Data Ethics & Responsible AI Fundamentals