About The Course
Become an Enterprise Data Professional for the AI Era
Industry-Oriented Professional Certification Program
The Master in Data Analytics, Data Governance & AI is a comprehensive, industry-focused program designed to prepare graduates, working professionals, and career changers for today's data-driven organizations. This program combines Data Analytics, Enterprise Data Governance, Cloud Fundamentals, and AI to build practical, job-ready skills aligned with modern enterprise requirements.
Unlike traditional analytics programs, this curriculum emphasizes not only analyzing data but also managing, governing, protecting, and enabling trusted data for AI-powered business decisions. Learners gain hands-on experience through real-world projects, industry case studies, and enterprise best practices.
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: