PG Master Diploma in Data Analytics & AI Full Stack
Data Analytics | Business Intelligence | Advanced Reporting | Automation | Generative AI | AI-Powered Analytics | AI Productivity Tools | Dashboarding & Visualization | Predictive Analytics. An industry-oriented curriculum covering the complete analytics lifecycle from data collection to business insights — SQL, Python, Advanced Python, Advanced Power BI and Generative AI for Analytics across 5 phases. Gain practical experience with enterprise reporting and AI-powered analytics, build a strong portfolio through real-world projects, and prepare for Data Analyst, Business Intelligence Analyst, Power BI Developer, Analytics Consultant and AI Analytics Consultant career opportunities — with placement-oriented training and interview preparation.
PG Master Diploma — Data Analytics & AI
Data Analytics, BI, Reporting & AI Automation Programme
Tools you'll master
Why This Course?
Prerequisites
Programme Overview
5 phases covering SQL for Data Analytics, Python for Data Analytics, Advanced Python, Advanced Power BI and Generative AI for Data Analytics — a single, progressive learning arc for Data Analytics, BI and AI-augmented reporting careers.
Data Analytics
Data collection, cleaning, preparation and exploratory analysis that turns raw data into business metrics.
Business Intelligence
Core BI concepts, data modeling and warehousing that power KPI development and business insights.
Advanced Reporting
Interactive and dynamic reporting, executive dashboards and self-service BI with automated report delivery.
Automation
Workflow and data-refresh automation, scheduled reporting and intelligent, process-driven reporting.
Generative AI
Large Language Models and prompt engineering applied directly to analytics and data exploration.
AI-Powered Analytics
Smart insights, AI forecasting and automated analysis with natural-language queries and recommendations.
AI Productivity Tools
Apply Microsoft Copilot, ChatGPT and Google Gemini as AI assistants for everyday business productivity.
Dashboarding & Visualization
Dashboard design, KPI dashboards and executive reporting built around storytelling with data.
Predictive Analytics
Forecasting, trend analysis and risk analysis applied to customer and sales prediction problems.
Who is this programme for?
Whether you're a fresher, a Business Analyst, an Excel professional, a Software Developer or already working in IT — this programme is built to take you into a high-demand Data Analyst, BI Developer or AI-augmented Analytics role.
Students & Freshers
Build industry-ready analytics skills, gain practical dashboard experience, and improve employability.
Business Analysts
Strengthen analytical and reporting skills, master Business Intelligence tools, and learn AI-powered analytics.
Excel Professionals
Upgrade to modern BI platforms, automate reporting workflows, and build interactive dashboards.
Software Developers
Add analytics and visualization expertise, and integrate AI-powered reporting into applications.
Working Professionals
Upskill with modern analytics technologies, improve decision-making capabilities, and accelerate career growth.
Career Switchers
Structured learning from fundamentals, practical implementation, and career transition support.
Course Curriculum
5 phases • 17 modules • hands-on, job-oriented training
This program is designed to build complete expertise in Data Analytics, Business Intelligence, Advanced Reporting, Automation, Generative AI, AI-Powered Analytics, AI Productivity Tools, Dashboarding & Visualization and Predictive Analytics — focusing on real-time industry projects, job-oriented practical scenarios, AI-powered analytics workflows, business reporting automation, prompt engineering for analysts, and dashboard & KPI management.
Course Content
Topics:
- Introduction to Databases: what is a database, importance of databases in analytics, database types, relational databases vs NoSQL
- RDBMS Concepts: tables, rows & columns, relationships, keys & constraints
- SQL Environment Setup: MySQL/PostgreSQL installation, SQL Server basics, database tools
- Database Design Basics: Entity Relationship concepts, normalization, data integrity
Hands-On / Demo
- › Lab: Create employee database
- › Lab: Create sales database
- › Lab: Define relationships between tables
- › Assignment: Design a retail business database
- › Scenario: Designing databases for business reporting systems
Topics:
- Basic SQL Queries: SELECT statements, DISTINCT, WHERE clause, ORDER BY, LIMIT/TOP
- Data Filtering: logical operators, pattern matching, NULL handling
- Aggregate Functions: COUNT, SUM, AVG, MIN/MAX
- Grouping & Analysis: GROUP BY, HAVING clause
Hands-On / Demo
- › Lab: Generate sales reports
- › Lab: Customer purchase analysis
- › Assignment: Build monthly revenue reports
- › Scenario: Daily business reporting for management
Topics:
- SQL Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, SELF JOIN
- Subqueries & CTE: nested queries, Common Table Expressions
- Window Functions: ROW_NUMBER, RANK, LEAD/LAG
- Query Optimization: indexes, performance tuning
Hands-On / Demo
- › Lab: KPI analysis queries
- › Lab: Advanced customer analytics
- › Assignment: Build executive reporting queries
- › Scenario: Large enterprise reporting systems
Course Content
Topics:
- Python Basics: variables & data types, operators, conditional statements, loops
- Functions & Modules: user-defined functions, lambda functions, modules & packages
- Data Structures: lists, tuples, dictionaries, sets
- Exception Handling: error handling, logging basics
Hands-On / Demo
- › Lab: Employee salary calculator
- › Lab: Data processing scripts
- › Assignment: Student management system
- › Scenario: Automating repetitive business tasks
Topics:
- File Handling: CSV processing, Excel handling, JSON processing
- Data Import & Export: reading datasets, data transformation, data validation
- APIs for Analytics: REST APIs, API authentication, JSON parsing
Hands-On / Demo
- › Lab: Import business datasets
- › Lab: Process financial data
- › Assignment: Build automated data importer
- › Scenario: Data integration from multiple systems
Topics:
- NumPy: arrays, matrix operations, statistical operations
- Pandas DataFrames: data manipulation, filtering, grouping, merging, pivot tables
- Data Cleaning: handling missing values, duplicate removal, data standardization
Hands-On / Demo
- › Lab: Data cleaning projects
- › Lab: Business analytics datasets
- › Assignment: E-commerce sales analysis
- › Scenario: Enterprise data preprocessing
Topics:
- Matplotlib: line charts, bar charts, pie charts
- Seaborn: heatmaps, distribution plots, correlation analysis
- Plotly: interactive dashboards, real-time visualization
Hands-On / Demo
- › Lab: Sales analytics visualization
- › Lab: Marketing performance charts
- › Assignment: Customer behavior dashboard
- › Scenario: Executive-level visual reporting
Topics:
- Statistical Analysis: mean, median, mode, standard deviation, variance
- Correlation Analysis: relationship between variables, trend analysis
- Outlier Detection: Z-score, IQR methods
Hands-On / Demo
- › Lab: Business trend analysis
- › Assignment: Retail analytics study
- › Scenario: Business intelligence insights generation
Course Content
Topics:
- Object-Oriented Programming: classes & objects, inheritance, polymorphism
- Advanced Concepts: decorators, generators, iterators, multithreading
- Advanced Exception Handling: logging, debugging
Hands-On / Demo
- › Lab: Banking application
- › Lab: Inventory management system
- › Assignment: Enterprise automation application
- › Scenario: Building scalable automation systems
Topics:
- Excel Automation: automated report generation, data extraction
- Email Automation: automated notifications, scheduled reports
- Web Scraping: BeautifulSoup, Selenium basics
- Scheduling Tasks: cron jobs, automated workflows
Hands-On / Demo
- › Lab: Automated KPI reporting
- › Assignment: Build reporting automation system
- › Scenario: Business process automation
Course Content
Topics:
- Power BI Architecture: Desktop, Service, Gateway
- Data Import & Transformation: Power Query, data modeling
- Report Building: charts, tables, slicers, filters
Hands-On / Demo
- › Lab: Business dashboard creation
- › Assignment: Sales reporting dashboard
- › Scenario: Enterprise reporting implementation
Topics:
- Advanced DAX: measures, calculated columns, time intelligence
- Advanced Visualizations: drill-through, dynamic reports, bookmarks
- Performance Optimization: data model optimization, report optimization
Hands-On / Demo
- › Lab: Executive KPI dashboards
- › Assignment: Multi-department analytics dashboard
- › Scenario: Enterprise BI reporting systems
Topics:
- Power BI Service: workspaces, publishing reports, sharing dashboards
- Security: Row-Level Security, data governance
- Data Refresh: scheduled refresh, gateway configuration
Hands-On / Demo
- › Lab: Deploy enterprise dashboards
- › Assignment: Secure analytics environment
- › Scenario: Enterprise BI administration
Course Content
Topics:
- AI Fundamentals: AI vs ML vs Gen AI, LLMs, GPT models
- AI Platforms: ChatGPT, Gemini, Claude, Copilot
- Responsible AI: AI ethics, security risks, governance
Hands-On / Demo
- › Lab: AI-powered content generation
- › Assignment: AI business use case analysis
- › Scenario: AI adoption in enterprises
Topics:
- Prompt Design: zero-shot prompting, few-shot prompting, chain-of-thought
- Business Prompt Engineering: reporting prompts, SQL prompts, dashboard prompts
- AI Optimization: context management, prompt tuning
Hands-On / Demo
- › Lab: AI prompt development
- › Assignment: AI-generated analytics reports
- › Scenario: AI-assisted business intelligence
Topics:
- AI-Based Reporting: AI narratives, automated summaries
- Conversational Analytics: natural language querying, AI chatbots for analytics
- AI Dashboard Generation: AI visual recommendations, predictive insights
Hands-On / Demo
- › Lab: AI analytics assistant
- › Assignment: Conversational BI system
- › Scenario: AI-driven executive reporting
Topics:
- AI Workflow Automation: AI agents, automated decision systems
- Productivity AI: Copilot, AI office automation
- No-Code AI Tools: AI workflow platforms
Hands-On / Demo
- › Lab: AI business assistant
- › Assignment: AI-powered automation workflow
- › Scenario: AI operations automation
Tools & Technologies
Every tool and library listed here is installed, configured and used in a hands-on lab session.
Microsoft Excel
Spreadsheet Analytics
SQL
Querying & Data Retrieval
Power BI
Business Intelligence Platform
Tableau
Data Visualization
Google Looker Studio
Cloud Reporting
SSRS
Enterprise Reporting
Python
Automation & Data Processing
Pandas
Data Manipulation
Jupyter Notebook
Interactive Development
Microsoft Fabric
Unified Analytics Platform
Power Query
Data Transformation
DAX
Data Analysis Expressions
Microsoft Copilot
AI Productivity Assistant
ChatGPT
Generative AI Assistant
Google Gemini
Generative AI Assistant
Git & GitHub
Version Control
You don't just learn Data Analytics. You build AI-powered BI systems.
Five final capstone projects mirroring how modern Data Analytics and BI teams actually work — from an AI-narrated executive dashboard and churn prediction to automated financial reporting, a conversational analytics chatbot and an HR AI recommendation engine.
AI-Powered Executive Dashboard
→SQL Analytics
→Python Automation
→Power BI
→AI Narratives
Combine SQL analytics, Python automation and Power BI into one AI-narrated executive dashboard
Bring together SQL-driven analytics, Python automation and Power BI reporting, and layer AI-generated narratives on top so executives get a plain-language summary alongside every dashboard.
Customer Churn Prediction System
→Predictive Analytics
→Visualization
→AI Insights
Predict which customers are likely to churn and surface AI-generated insights
Apply predictive analytics and visualization to identify at-risk customers, with AI insights layered on top to explain the "why" behind each prediction.
Financial Reporting Automation
→Automated KPI Reports
→AI-Generated Insights
Automate KPI reporting with AI-generated commentary
Automate recurring financial KPI reports and layer AI-generated insights on top so finance teams get commentary, not just numbers.
Conversational Analytics Chatbot
→OpenAI Integration
→Natural Language Querying
Query enterprise data using natural language via an OpenAI-powered chatbot
Integrate OpenAI into a chatbot that lets business users query data using natural language instead of writing SQL or building reports.
HR Analytics & AI Recommendation Engine
→Attrition Prediction
→AI-Based Recommendations
Predict employee attrition and generate AI-based retention recommendations
Build an attrition prediction model paired with an AI recommendation engine that suggests retention actions for HR teams.
All 5 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.
See Sample Project ReportsUpcoming Batches
| Start Date | Time | Day | Mode | Enroll |
|---|---|---|---|---|
| 10/08/2026 | 08:00 PM – 09:30 PM | Weekday | Online | Enroll Now |
Why Radical Technologies
- Highly practical oriented training
- Installation support on your system
- 24/7 Email and Phone support
- 100% Placement Assistance
- Global Certification Preparation
- Trainer-Student Interactive Portal
- Assignments and Projects by Mentors
- Weekend / Weekdays / Morning / Evening batches
- 80:20 Practical and Theory ratio
- Real-life Case Studies
- Easy make-up for missed sessions
- PSI | Kryterion | Certification Test Centers
- Lifetime Video Classroom Access (coming soon)
- Resume Prep and Mock Interviews
- Learn 300+ courses at your own time
- 50,000+ Satisfied Learners
- Course Completion Certificate
- Practical Labs available
- Mentor Support available
- Doubt Clearing Session available
- 10% Discounted Global Certification
Like the Curriculum? Let's Get Started
Join 50,000+ students already enrolled at Radical Technologies
Global Certification
Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from Data Analytics, Power BI and Tableau to Microsoft Fabric and Generative AI for Analytics — empowering individuals to stay ahead in the ever-evolving analytics and AI landscape.
Career Services
Our dedicated Placement Support Team works with you from day one — resume forwarding, technical interview preparation, HR interview preparation, career guidance, soft skills training, mock interviews and internship assistance, with access to 850+ Hiring Partners and placement assistance until you get hired.
Career Support
Join our Brush-up Session & get support until you find a job!
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PG Master Diploma — Data Analytics & AI
Data Analytics, BI, Reporting & AI Automation Programme
Tools you'll master