Master the complete Data Analytics workflow—from collecting and cleaning data to creating dashboards, reports, and predictive insights using industry-standard tools. Designed for students, graduates, and working professionals aiming for careers in Business Intelligence, Data Analytics, Reporting, and AI-powered decision making.
Detailed Course Syllabus
Module 1 – Data Analytics Foundation
- Introduction to Data Analytics
- Data Types & Sources
- Business Intelligence Concepts
- Data Driven Decision Making
- Analytics Lifecycle
- Industry Applications
Module 2 – Microsoft Excel for Data Analysis
- Advanced Excel Functions
- Pivot Tables
- Pivot Charts
- Data Cleaning
- Conditional Formatting
- Lookup Functions
- Dashboards
- Power Query Basics
Module 3 – SQL Database Management
- Database Fundamentals
- MySQL Introduction
- SELECT Queries
- Filtering & Sorting
- JOIN Operations
- Aggregate Functions
- Views
- Stored Procedures Basics
Module 4 – Python for Data Analytics
- Python Basics
- Variables & Data Types
- Loops & Functions
- Pandas Library
- NumPy
- Data Cleaning
- Data Manipulation
- Visualization Basics
Module 5 – Power BI
- Power BI Interface
- Importing Data
- Data Transformation
- DAX Basics
- Interactive Dashboards
- Business Reports
- Publishing Reports
- Real-Time Analytics
Module 6 – Data Visualization
- Charts & Graphs
- KPI Reports
- Interactive Dashboards
- Business Storytelling
- Visual Design Principles
- Executive Reports
Module 7 – Statistics & Business Analytics
- Descriptive Statistics
- Probability
- Hypothesis Testing
- Regression Basics
- Correlation Analysis
- Forecasting Concepts
Module 8 – AI Integrated Data Analytics
- AI Tools for Data Analysis
- ChatGPT for Analysts
- Prompt Engineering
- Automation Techniques
- Report Generation using AI
- Future of Data Analytics
Module 9 – Live Projects
- Sales Dashboard
- HR Analytics
- Financial Analysis
- Marketing Dashboard
- Retail Analytics
- Real Business Case Studies
What You’ll Learn
- Microsoft Excel Advanced Analytics
- SQL Database Querying
- Python Programming
- Pandas & NumPy
- Power BI Dashboard Development
- Interactive Data Visualization
- Business Intelligence
- Data Cleaning Techniques
- Statistical Analysis
- Predictive Analytics Basics
- AI Tools for Data Analysis
- Corporate Reporting
- Live Industry Projects
- Interview Preparation
- Resume Building
- Placement Assistance
Student Testimonials
“The ADDA program completely transformed my analytical thinking. The practical projects, Power BI dashboards, SQL training, and Python sessions gave me real industry confidence. I secured my first Data Analyst opportunity immediately after completing the course.”
Junior Data Analyst
“Excellent curriculum with hands-on practice. Every module was easy to understand, and the live projects helped me build a strong portfolio. The trainers explained complex concepts in a very practical way.”
Business Intelligence Executive
“One of the best professional courses for anyone interested in Data Analytics. The AI-integrated learning approach, placement support, and industry-focused training exceeded my expectations.”
Data Visualization Specialist
