Certified Data Analytics Program
(Offline and Online Batches Available)

The Certified Data Analytics Professional program is designed to empower graduates from diverse academic backgrounds with the essential skills and practical knowledge required to launch a successful career in data analytics. This comprehensive, hands-on course covers the full spectrum of analytics tools and techniques—from foundational data handling in Excel and SQL, to advanced visualization in Power BI, and intelligent insights using AI.
By the end of the program, participants will be able to:

• Understand and apply core data analytics concepts across industries.
• Clean, transform, and analyze data using Excel and SQL.
• Build dynamic dashboards and reports using Power BI.
• Leverage AI tools to generate predictive insights and automate analysis.
• Solve real-world business problems through data-driven decision-making.

This program bridges the gap between academic learning and industry expectations, making learners job-ready for roles such as Data Analyst, Business Intelligence Analyst, Reporting Specialist, and AI-Driven Insights Consultant.

Who We Are

At QBI Institute, we specialize in transforming careers through industry-relevant training in business and data analytics. Since 2010, we’ve empowered professionals from diverse backgrounds—engineering, banking, ITES, and management—to become successful analysts and consultants. Our expert trainers, with global experience and credentials from IITs and IIMs, bring real-world insights into every session. With a passion for mentoring and a commitment to excellence, we deliver hands-on learning that prepares you for high-impact roles in today’s data-driven world.

Program Syllabus

📘 Module 1: Excel – Basic to Advanced (Duration: 2 Weeks)
Topics Covered:

• Excel Basics: Interface, formulas, formatting
• Data Cleaning & Validation
• Advanced Formulas: VLOOKUP, INDEX-MATCH, IF, SUMIFS, etc.
• Pivot Tables & Pivot Charts
• Conditional Formatting & Data Visualization
• Power Query & Power Pivot
• Macros & Introduction to VBA
• 🔹 Project: Sales Dashboard & Forecasting

🗃️ Module 3: SQL for Data Analytics (Duration: 4 Weeks)
Topics Covered:

• SQL Basics: SELECT, WHERE, ORDER BY
• Joins: INNER, LEFT, RIGHT, FULL
• Aggregations: GROUP BY, HAVING
• Subqueries & CTEs
• Window Functions
• Data Cleaning with SQL
• Real-world Case Studies
• 🔹 Project: E-commerce Data Analysis

📊 Module 2: Power BI Duration: (4 Weeks)
Topics Covered:

• Power BI Interface & Data Loading
• Data Transformation using Power Query
• Data Modeling & Relationships
• DAX Basics (Calculated Columns, Measures)
• Interactive Dashboards & Visualizations
• Publishing & Sharing Reports
• Power BI Service & Gateway
• 🔹  Project: Customer Segmentation Dashboard

🤖 Module 4: AI for Business Analytics (Duration: 1 Weeks)
Topics Covered:

• Introduction to AI & Machine Learning
• AI Use Cases in Business
• Predictive Analytics with Excel & Power BI
• Introduction to Python for AI (Optional)
• Using AI in Power BI (Cognitive Services, Azure ML)
• ChatGPT & Copilot for Analysts
• Ethics & Responsible AI
• 🔹 Project: Predictive Sales Model with AI

🧠 Capstone Project🔹 Project: End-to-End Business Intelligence Solution

• Objective: Combine all tools to solve a business case (e.g., retail expansion strategy).
• Tasks:
  • Clean and analyze data in Excel.
  • Query and prepare data in SQL.
  • Visualize insights in Power BI.
  • Use AI to forecast trends and generate strategic recommendations.

​Program Deliverables

📦 Program Deliverables🎓 1. Certificate of Completion

• Recognized certification as a Certified Data Analytics Professional
• Validates proficiency in Excel, Power BI, SQL, and AI tools

📁 2. Hands-on Project Portfolio

• 4+ Mini Projects (one per module)
• 1 Capstone Project solving a real-world business problem
• Portfolio-ready for job applications and interviews

📚 3. Learning Resources

• Module-wise study material (PDFs, videos, templates)
• Practice datasets for exercises and projects
• Access to curated reading lists and tutorials

🧑‍🏫 4. Expert-Led Sessions

• Live or recorded sessions by industry professionals
• Q&A and doubt-clearing sessions
• Guest lectures on AI in business analytics

🧪 5. Assessments & Quizzes

• Module-end quizzes to test understanding
• Final assessment for certification eligibility
• Feedback and performance analytics

💼 6. Career Support

• Resume and LinkedIn profile review
• Interview preparation resources
• Guidance on job roles: Data Analyst, BI Analyst, AI Analyst

🤖 7. Exposure to AI Tools

• Hands-on with AI-powered analytics (e.g., ChatGPT, Copilot, Azure ML)
• Use cases and demos of AI in business decision-making

🌐 8. Community Access

• Peer learning and discussion forums
• Networking with alumni and professionals
• Access to future webinars and updates