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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
Duration 4 Months (16 Weeks)
Live Training 150 Hours
Delivery Mode Live Online Instructor-Led
Projects Hands-on & Capstone
Framework DAMA-DMBOK Aligned
Level Beginner to Advanced

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 Hours

Topics 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 – Microsoft Database & SQL Server

30 Hours

Topics Covered

  • SQL Fundamentals
  • Database Concepts
  • Where Clause
  • Filtering Data
  • SELECT Statements
  • Sorting, Grouping
  • Aggregations (ORDER BY, GROUP BY, HAVING)
  • SQL Functions (String, Numeric, Date, Conversion, NULL Handling)
  • Joins (INNER, LEFT, RIGHT, FULL, CROSS, SELF Joins)
  • Subqueries & Common Table Expressions (CTEs)
  • Window (Analytical) Functions
  • Set Operators (UNION, UNION ALL, INTERSECT, EXCEPT)
  • SQL Views-Data Security & data Privacy
  • Stored Procedures
  • Query Performance Optimization
  • Advanced SQL Techniques
  • SQL Coding Best Practices
  • Real-World Business Scenarios & Case Studies
  • Hands-on SQL Exercises & Interview Questions

Module 3 – Advanced Excel for Analytics

8 Hours

Topics Covered

  • Excel Fundamentals
  • Workbook Management
  • Data Preparation
  • Data Cleaning
  • Data Filtering, Sorting
  • Data Validation
  • Advanced Formulas
  • Functions
  • VLOOKUP, XLOOKUP
  • INDEX & MATCH
  • Conditional Formatting
  • Data Visualization
  • Pivot Tables
  • Pivot Charts
  • Power Query
  • What-If Analysis
  • Interactive Dashboards
  • Data Reporting
  • Excel Automation Basics
  • Real-World Business Analytics
  • Hands-on Exercises
  • Real-World Industry Dashboard Project

Module 4 – Mini ETL Data Management Project

6 Hours

Topics Covered

  • Data Collection
  • Source Analysis
  • ETL Fundamentals
  • Data Cleaning
  • Standardization
  • Data Transformation
  • Business Rules
  • Data Mapping
  • Integration
  • Data Validation
  • Quality Checks
  • Business Logic Implementation
  • Business Reporting
  • Data Presentation
  • End-to-End Mini ETL Project

Module 5 – Tableau For Data Visualization

8 Hours

Topics Covered

  • Introduction to Data Visualization
  • Understanding Tableau
  • Tableau Product Ecosystem
  • Tableau Desktop Fundamentals
  • Connecting to Data Sources
  • Dimensions, Measures
  • Tableau Data Types
  • Tableau Filters
  • Building Charts & Visualizations
  • Calculated Fields
  • Parameters
  • Interactive Analytics
  • Level of Detail (LOD) Expressions
  • Interactive Dashboards
  • Storytelling with Data
  • Dashboard Design Best Practices
  • Executive Reporting
  • KPI Dashboards
  • Real-World Industry Dashboard Project
  • Real-World Business Dashboards
  • Case Studies & Interview Scenarios

Module 6 – Python for Data Analytics

10 Hours

Topics Covered

  • Python Fundamentals
  • NumPy
  • Pandas
  • Data Cleaning
  • Data Manipulation
  • Exploratory Data Analysis
  • Data Visualization
  • Automation Basics

Module 7 – Capstone Project

20 Hours

Develop an end-to-end business solution using:

  • Enterprise Business Problem Definition
  • Business Requirements Gathering
  • Data Collection & Source Analysis
  • Data Preparation & Cleaning
  • SQL for Data Extraction & Analysis
  • Excel for Data Validation & Business Analysis
  • Python for Data Processing & Analytics
  • Tableau Dashboard Development & Visualization
  • Business Analytics & Insights Generation
  • Recommendation & Decision-Making Framework
  • Executive Presentation & Stakeholder Communication
  • End-to-End Real-World Industry Capstone Project
  • Project Documentation & Portfolio Development

Module 8 – Enterprise Data Governance & Data Quality

32 Hours

Topics Covered

  • Introduction to Data Strategy
  • Introduction to Data Governance
  • Business Value & Benefits
  • Data Management Fundamentals
  • DAMA-DMBOK Framework
  • DG Principles & Best Practices
  • DG Policies, Standards & Procedures
  • DG Roles & Responsibilities
  • Data Ownership & Data Stewardship
  • Data Governance Council
  • DG Operating Model
  • Business Glossary Management
  • Metadata Management
  • Data Catalog & Data Discovery
  • Data Classification
  • Critical Data Elements (CDEs)
  • Data Quality Management Framework
  • Data Profiling, Monitoring & Data Quality Rules
  • Data Lineage & Impact Analysis
  • Master Data Management (MDM)
  • Reference Data Management
  • Data Lifecycle Management
  • Regulatory Compliance
  • Data Security, Data Privacy
  • Data Governance Metrics, KPIs & Scorecards
  • Enterprise Data Governance Tools Overview
  • How to Establish a Data Management Office (DMO)
  • How to Implement Data Governance in an Organization
  • Enterprise Data Governance Roadmap
  • Maturity Assessment
  • Real-World Case Studies
  • Industry Best Practices
  • Enterprise Data Governance Project
  • Interview Preparation & Enterprise Scenarios
  • How would you establish Data Management in your company

Module 9 – Cloud & AI for Data Professionals

10 Hours

Topics Covered

  • Cloud Computing Fundamentals
  • Microsoft Azure Fundamentals
  • Databricks-UC Overview
  • AI Fundamentals
  • Generative AI for Data Professionals
  • AI in Data Governance
  • Responsible AI
  • Agile & JIRA Fundamentals
  • Enterprise Data Governance Tools Overview

Module 10 – Career Transition Program

12 Hours

Topics Covered

  • Resume Building
  • LinkedIn Branding
  • Technical Interview Preparation
  • HR Interview Preparation
  • Mock Interviews
  • Salary Negotiation
  • Career Planning & Roadmap

Tools & Technologies Covered

Data Analytics

Microsoft SQL Server
Microsoft Excel
Tableau
Python

Enterprise Data Platforms

Databricks
Unity Catalog
Collibra (Overview)

Cloud & Productivity

Microsoft Azure Fundamentals
JIRA

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:

Data Analyst
Business Analyst
Data Engineer
Data Steward
SQL Developer
Analytics Consultant
Data Governance Analyst
Data Quality Analyst
Metadata Analyst
Data Governance Consultant
AI Analyst
Data Consultant
Data Governance Lead
BI Analyst
Reporting Analyst

Testimonials

I would definitely recommend this course as a great intro to becoming a Data analyst and learning what you need to succeed in a data analyst interview. Great institute for fresher who looking for Job and bright future.

- Lahari priya

I got to know about this institute from my few friends who has also got placed from this institute Excellent faculty and a great managed team. data Analytics is something which takes to understand but I am glad that I was able to learn so many things. Great place to learn Data analyst

- Sanchitha Gowda

Data Gyan is a good training centre to learn new things quickly and clearly. such a great centre ever I have seen in my life. good teaching and helping us to learn new things daily.

- Gomathi G

Data Gyan best in class training on Data analyst . The trainer is well experienced and explains every topics in detail. Course timing is very flexible and accommodating. Their hands-on approach and assignments gives a lot of confidence. All my friend got job i refer to join this institute.

- Neelima Neelu

This is the best coaching for Data analyst And Personality Development.I also joined this coaching by seeing the reviews. All you have to do is listen to sir , follow his teachings and I assure that a person under her guidance would be successful . I am really happy that i took a good decision to join this coaching. Hope it's the same for you all wishing to join here . Thank you , all the best.

- DEBASISH MOHANTY

Journey with this institute has given me an opportunity to make a career easily. Excellent training institute for beginners who are seeking for a career. I would like to thank the Trainer for supporting me to build confidence

- Sumaveni c

Classes are taught from Beginners level understanding and Timings are flexible. Taught by Instructor having Vast experience in the field. People who are able to devote lot of time can benefit in long run. Theoretical and Practically taught. Placements Assistance are provided and that can be improved.

- Ramya Thumeti

I am glad to write about Data Gyan and Sir .His style of teaching is very interesting and energetic. This is the right place to shape up your Career. He is such a mind blowing teacher. I feel more confident now . Specially personality based classes are awesome no one can give us that much practical knowledge. So people don't waist your time to read the review just go for it.I got My dream Job and company!

- PRAMATHA CHANDRA BARIK

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