Industry-designed curriculum covering every skill a data analyst & AI engineer needs in 2025.
Module 01
Foundations of Data Analytics
- Introduction to Data Analytics
- Business Data Understanding
- Analytics Workflow
- Types of Data & Applications
- Industry Use Cases
- Data-Driven Decision Making
Module 02
Advanced Excel for Analytics
- Excel Functions & Formulas
- Logical & Conditional Functions
- Data Cleaning Techniques
- Pivot Tables & Lookup Functions
- Dashboard Creation
- Goal Seek & What-If Analysis
Module 03
Database Management & SQL
- Database Fundamentals
- Relational Database Concepts
- SQL Queries & Commands
- Data Filtering & Sorting
- Joins & Subqueries
- Aggregate Functions
- Stored Procedures Basics
Module 04
Python Programming Essentials
- Python Basics & Syntax
- Variables & Data Types
- Conditional Statements
- Loops & Iterations
- Functions & Modules
- Error & Exception Handling
Module 05
Data Analysis with Python
- NumPy Fundamentals
- Pandas for Data Analysis
- Data Import & Export
- Data Cleaning & Transformation
- Handling Missing Values
- Data Aggregation Techniques
Module 06
Exploratory Data Analytics
- Understanding Data Patterns
- Outlier Detection
- Feature Analysis
- Correlation & Trend Analysis
- Data Preparation Techniques
- Feature Encoding & Scaling
Module 07
Data Visualization & Reporting
- Visualization Principles
- Charts & Graphs
- Business Reporting Dashboards
- Storytelling with Data
- Trend Visualization
- Interactive Reports
Module 08
Power BI & Dashboarding
- Power BI Interface
- Power Query Editor
- DAX Fundamentals
- Calculated Columns & Measures
- Dashboard Development
- Interactive Reporting
Module 09
Machine Learning Concepts
- Introduction to Machine Learning
- Supervised Learning
- Regression Algorithms
- Classification Techniques
- Unsupervised Learning
- Model Evaluation Methods
Module 10
Advanced Machine Learning
- Feature Engineering
- Hyperparameter Optimization
- Model Tuning
- Ensemble Techniques
- Imbalanced Dataset Handling
- Performance Improvement Methods
Module 11
Artificial Intelligence & Deep Learning
- AI Fundamentals
- Neural Networks Basics
- ANN & Deep Learning
- CNN Concepts
- RNN Concepts
- Time Series Forecasting
Module 12
Natural Language Processing
- Text Processing Techniques
- NLP Fundamentals
- Bag of Words & Embeddings
- Sentiment Analysis
- TF-IDF Vectorization
- Language Understanding Concepts
Module 13
Generative AI Applications
- Introduction to Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- AI-Powered Analytics
- Automated Insight Generation
- AI Productivity Tools
Module 14
Industry Projects & Capstone
- Real-Time Industry Projects
- End-to-End Analytics Pipeline
- AI & ML Integration
- Business Case Studies
- Final Capstone Presentation
- Deployment Overview
