AI-Powered Data Analytics Training

This course enables participants to perform AI-driven data analysis without any coding knowledge using prompt-based tools.
Through a hands-on, project-based approach, you’ll learn how to apply IIBA® CBDA methodology and AI technologies together for real-world data insights and business intelligence.

Artificial Intelligence now allows professionals to analyze data, create dashboards, and generate reports with just a few simple commands — empowering faster, data-driven decision-making.

Tools Used During the Training

Instachart • Luzmo • Tableau • Claude • ChatGPT

Ideal for:

• Business Analysts

• Data Analysts

• Data Architects

• BI and Reporting Teams

• Business Units & Managers

• Prompt-based analytics skills

• AI-driven decision-making techniques

• Dashboard and BI design mastery

• AI Agent development fundamentals

• Hands-on IIBA® CBDA application

Day 1 – AI + Data Analytics

IIBA® CBDA Framework:

• Relationship between Business & Data Analysis

• Global reporting and analytics methodologies

• Requirements gathering for analytics

• Strategic, tactical, and operational reporting

AI-Powered Analytics & Business Intelligence:

• Industry-specific AI use cases

• Customer and employee experience analytics

• Innovation and insight generation

AI-Driven Analytical Levels:

• Diagnostic Analysis

• Descriptive Analytics

• Predictive Modeling

• Prescriptive Insights

Day 2 – AI + Data Architecture & Agents

Designing Data Architecture with AI:

• Data modeling & visualization

• Dashboard & storytelling design

• Semantic analysis of unstructured data

Decision-Making with AI:

• AI-assisted decision frameworks

• Impact tracking and performance measurement

• AI Agents for process automation

Sensemaking & Cognitive Skill Development:

• Critical thinking & questioning

• Creative and contextual problem-solving

• Visual reasoning and conceptual modeling

AI Agent Development:

• Decision-support system integration

• Predictive automation models

• Adaptive enterprise-level agents

Case Study:
A full Harvard Data Analysis Project, combining AI tools and IIBA® methodology to build a practical data analytics environment.