DataRay Academy
Structured learning in data, analytics, and AI
DataRay Academy supports both individual learners and institutions through public courses and structured training programs across three capability layers: Data Foundations, Applied Analytics & Visualization, and AI & Advanced Data Science.
Learning Architecture
Structured capability development across three tracks
DataRay Academy keeps Courses and Training Programs as the primary offering types, then layers learning maturity on top through three tracks.
Data Foundations
Build essential data literacy, analytical thinking, and core technical confidence for modern data work.
Courses
- • Data Literacy
- • Introduction to AI
- • Python for Data Analysis
- • SQL & Data Management
Institutional pathway
Data Foundations Pathway
For institutions building foundational data understanding and technical confidence across teams.
- • Data Foundations Program
Applied Analytics & Visualization
Develop practical capability in dashboards, reporting, visualization, and monitoring for real-world decision support.
Courses
- • Data Visualization with Power BI
- • Dashboard & Analytics
- • M&E with Data
Institutional pathway
Applied Analytics Pathway
For institutions strengthening reporting systems, dashboard capability, and operational analytics.
- • Applied Analytics & Visualization Program
- • Custom Institutional Training
AI & Advanced Data Science
Advance into machine learning, predictive analytics, sector-focused intelligence, and higher-value analytical systems.
Courses
- • Machine Learning
- • R for Data Analysis
- • Healthcare Analytics
- • AI for Decision-Making
Institutional pathway
AI & Advanced Data Science Pathway
For institutions adopting predictive analytics, AI systems, and specialized decision intelligence.
- • AI & Advanced Data Science Program
Featured Live Course
Machine Learning
A practical machine learning course covering foundations, model building, evaluation, and real-world applications.
Track
AI & Advanced Data Science
Duration
6–8 weeks
Level
Beginner to Intermediate
Format
Self-paced / instructor-supported