About The Course
Master in Enterprise Data Governance, Data Analytics & AI for Banking & BFSI RBI Draft Data Governance Framework Aligned | Industry-Oriented Professional Certification Program
Course Overview
The Master in Enterprise Data Governance, Data Analytics & AI for Banking & BFSI is a comprehensive, industry-focused professional certification program designed to prepare professionals for the rapidly evolving Banking, Financial Services & Insurance (BFSI) sector.
Aligned with the RBI Draft Data Governance Framework, Digital Personal Data Protection (DPDP) Act, 2023, and DAMA-DMBOK, this program equips learners with enterprise-ready skills in Data Governance, Data Analytics, Data Quality, Metadata Management, Data Lineage, AI Readiness, and Regulatory Compliance.
The curriculum combines technical expertise with enterprise governance practices through hands-on projects, real-world BFSI case studies, practical assignments, and an enterprise capstone project. Participants will learn industry-standard technologies including SQL Server, Advanced Excel, Tableau, Python, Databricks Unity Catalog, Microsoft Azure, AI Fundamentals, and Enterprise Data Governance Frameworks, enabling them to meet the growing demand for skilled data professionals across banks, insurance companies, NBFCs, fintech organizations, and global financial institutions.
Program Overview
Why Choose This Program?
- Comprehensive curriculum covering Analytics, Governance & AI
- Industry-aligned learning with practical enterprise use cases
- Hands-on projects and business case studies
- DAMA-DMBOK aligned Data Governance concepts
- Exposure to modern cloud and enterprise data platforms
- Portfolio development through real-world assignments
- Resume building, LinkedIn branding, and interview prep
- Mentoring by experienced industry professionals
- Designed for today's AI-enabled enterprise workforce
Program Highlights
- Comprehensive Industry-Focused Curriculum
- Data Analytics, Data Governance & AI
- Live Instructor-Led Online Training
- Hands-on Projects & Enterprise Case Studies
- Professional Portfolio Development
- Resume Building & Interview Preparation
- Mentoring by Industry Experts
- Cloud & AI Fundamentals
- DAMA-DMBOK Aligned Data Governance
- Career Transition Support
Course Curriculum
Module 1 – Foundations of Data Analytics
8 HoursTopics Covered
- Understanding Data & Business Processes
- Data as a Strategic Enterprise Asset
- Introduction to Data Analytics
- Data Management Lifecycle
- Business Problem Solving
- Types of Analytics
- Data-Driven Decision Making
- Industry Use Cases
Module 2 – Master SQL Server
30 HoursTopics Covered
- SQL Fundamentals
- Where clause
- Joins
- Aggregate Functions
- Window Functions
- Views
- Stored Procedures
- Functions
- Ranking
- Query Performance Optimization
- Real Business Scenarios
- SQL for Data Analytics
Module 3 – Advanced Excel for Analytics
8 HoursTopics Covered
- Advanced Formulas
- Pivot Tables
- Power Query
- Data Cleaning
- Dashboards
- Lookup Functions
- What-if Analysis
- Excel Automation Basics
Module 4 – Mini ETL Project
6 HoursTopics Covered
- Data Collection
- Data Cleaning
- Data Transformation
- Data Validation
- Business Reporting
Module 5 – Tableau Data Visualization
8 HoursTopics Covered
- Tableau Desktop
- Interactive Dashboards
- Storytelling with Data
- Filters
- Parameters
- LOD Expressions
- Dashboard Design
- Executive Reporting
Module 6 – Python for Data Analytics
10 HoursTopics Covered
- Python Fundamentals
- NumPy
- Pandas
- Data Cleaning
- Data Manipulation
- Exploratory Data Analysis
- Data Visualization
- Automation Basics
Module 7 – Enterprise Capstone Project
8 HoursDevelop an end-to-end business solution using:
- SQL
- Excel
- Python
- Tableau
- Business Analytics
- Executive Presentation
Module 8 – Enterprise Data Governance & Data Quality
32 HoursTopics Covered
- Data Governance Fundamentals
- DAMA-DMBOK Framework
- Data Stewardship
- Data Ownership
- Business Glossary
- Metadata Management
- Data Catalog
- Data Quality
- Data Lineage
- Master Data Management
- Governance Operating Model
Module 9 – Cloud & AI for Data Professionals
10 HoursTopics Covered
- Cloud Computing Fundamentals
- Microsoft Azure Fundamentals
- Databricks Overview
- Unity Catalog
- AI Fundamentals
- AI in Data Governance
- JIRA Fundamentals
- Enterprise Data Governance Tools Overview
Module 10 – Career Transition Program
12 HoursTopics Covered
- Resume Building
- LinkedIn Branding
- Technical Interview Preparation
- HR Interview Preparation
- Mock Interviews
- Salary Negotiation
- Career Planning & Roadmap
Tools & Technologies Covered
Data Analytics
Enterprise Data Platforms
Cloud & Productivity
Who Should Join?
- Fresh Graduates
- Working Professionals
- Software Engineers
- Business Analysts
- Banking & Financial Services Professionals
- Any Non Technical
- Sales & Marketing Professional
- Reporting Analysts
- Career Transition Professionals
- MBA Students
Program Benefits
- Live Interactive Sessions
- Hands-on Assignments
- Enterprise Capstone Project
- Real-World Case Studies
- Industry Expert Mentoring
- Portfolio Development
- Resume & LinkedIn Enhancement
- Interview Preparation
- Career Transition Support
- Lifetime Resource Access
Learning Outcomes
By the end of this program, participants will be able to:
- Analyze business data using industry-standard analytical tools.
- Write advanced SQL queries for enterprise databases.
- Build interactive dashboards using Tableau.
- Perform data analysis and automation with Python.
- Develop professional reports and dashboards using Excel.
- Apply enterprise Data Governance principles based on DAMA-DMBOK.
- Understand cloud technologies and AI concepts relevant to modern data professionals.
- Build a professional analytics portfolio through real-world projects.
- Prepare confidently for technical interviews and enterprise data roles.
Career Opportunities
Upon successful completion, participants can pursue roles such as: