Why Data Governance?
Artificial Intelligence is only as powerful as the quality of the data behind it.
Organizations worldwide are investing heavily in Enterprise Data Governance, Data Quality, Data Management, AI Governance, Privacy, and Regulatory Compliance to build trusted, secure, and AI-ready data ecosystems.
As enterprises modernize their data platforms and adopt AI, the demand for professionals with Data Governance expertise continues to grow across Banking, Insurance, Healthcare, Retail, Manufacturing, Telecom, Government, Energy, and Technology sectors.
If you want to build a long-term, future-ready career in data, the Certified Data Governance Practitioner (CDGP) program is designed to help you develop practical enterprise skills aligned with global best practices.
Program Highlights
- 100+ Hours of Live Instructor-Led Training
- Beginner to Advanced Curriculum
- Enterprise Case Studies (Banking, Insurance & Retail)
- Hands-on Projects & Enterprise Templates
- SQL + Data Analytics + Data Governance
- Resume, LinkedIn & Interview Preparation
- Two Data Governance Tools (simulated demos)
- Self-Learning 3rd Party Videos & Doubt Classes
Duration
60 Days (2 Months)
Schedule
Saturdays & Sundays
MNC Trainers
Data Governance Managers
Fees & Discount
59K (Early Bird Discount)
Program Curriculum
Module 1 – Foundations of Data Management
8 Hours- Digital Transformation & Data-Driven Organizations
- Business Processes & Enterprise Data
- Data as a Strategic Enterprise Asset & Data Lifecycle
- Business Analytics Fundamentals & Types of Analytics
- Data-Driven Decision Making
- Enterprise Data Architecture Overview
- Data Value Chain & Enterprise Business Use Cases
Module 2 – Enterprise Data Governance & Quality
32 Hours- Introduction to Data Strategy & Data Governance
- Business Value & DAMA-DMBOK Framework
- DG Principles, Policies, Standards & Procedures
- DG Roles, Ownership & Data Stewardship
- Data Governance Council & Operating Model
- Business Glossary, Metadata & Data Cataloging
- Data Classification & Critical Data Elements (CDEs)
- Data Quality Framework, Profiling & DQ Rules
- Data Lineage, Master Data (MDM) & Reference Data
- Data Security, Privacy & Regulatory Compliance (GDPR/DPDPA)
- DG Metrics, Scorecards & Maturity Assessment
- DMO Setup, Implementation Roadmap & Governance Tools
- Real-World Project & Interview Scenarios
Module 3 – Microsoft SQL Server & Advanced SQL
30 Hours- SQL Fundamentals, Database Design & Normalization
- DDL, DML & DCL Commands
- SELECT, Filtering, Sorting & Aggregations
- Advanced Joins, CTEs & Window Functions
- Views, Stored Procedures & Optimization
- Query Tuning & Enterprise SQL Coding Standards
- Banking & Retail SQL Scenarios & Interview Prep
Module 4 – Advanced Excel for Data Analytics
8 Hours- Data Cleaning & Validation (Power Query)
- Pivot Tables, Pivot Charts & Lookup Functions
- Advanced Formulas & KPI Dashboards
- Executive & Business Reporting Dashboards
- Hands-on Business Analytics Projects
Module 5 – Enterprise ETL & Data Management Project
6 Hours- Source System Analysis & Extraction
- Data Transformation & Mapping Rules
- Data Validation & DQ Checks
- ETL Testing & Business Reporting
- End-to-End Enterprise Project Execution
Module 9 – Cloud & AI for Data Professionals
10 Hours- Cloud Computing & Microsoft Azure Fundamentals
- Databricks Unity Catalog Overview
- AI & Generative AI for Data Professionals
- AI Governance & Responsible AI
- Agile & JIRA Fundamentals
- Two Data Governance Tools (simulated demos)
Learning Outcomes
- Design Enterprise Data Governance Frameworks
- Build Enterprise Data Strategy Roadmaps
- Implement Data Governance Operating Models
- Establish Data Ownership & Stewardship
- Design Business Glossaries & Metadata Models
- Implement Enterprise Data Quality Frameworks
- Understand MDM & Reference Data Management
- Perform Data Profiling & Data Quality Assessment
- Build SQL Queries for Business Analytics
- Create Executive Dashboards in Excel
- Understand AI Governance & AI Readiness
- Prepare for Enterprise Data Governance Interviews
- Execute Enterprise Data Governance Projects
Who Should Attend?
Data Analysts
Business Analysts
Data Engineers
Data Architects
Data Stewards
Data Owners
Database Developers
BI/ETL Developers
Solution Architects
Enterprise Architects
AI Professionals
Project/Product Managers
Fresh Graduates
Professionals Transitioning into DG
Career Opportunities
Data Governance Analyst
Data Steward
Data Quality Analyst
Metadata Analyst
Data Governance Consultant
Data Governance Manager
Enterprise Data Governance Lead
Data Management Consultant
MDM Consultant
Data Strategy Consultant
AI Governance Consultant
Chief Data Office (CDO) Member
Why Choose This Program?
Unlike traditional Data Governance courses that focus only on theory, the CDGP program combines Enterprise Data Governance, Data Quality, Data Management, SQL, Data Analytics, ETL fundamentals, AI Governance, enterprise implementation frameworks, real-world case studies, and interview preparation into one comprehensive certification.
This industry-oriented curriculum equips learners with practical, job-ready skills aligned with enterprise best practices and modern AI-driven data management needs. This enhanced version is comparable in structure and depth to enterprise training offered by global consulting firms and professional academies, featuring practical modules on AI Governance, Microsoft Purview, Databricks, Collibra, and enterprise operating models.
