Data Science with AI - ML

• Python Programming – Python fundamentals & data science libraries
• Data Analysis & Visualization – Pandas, NumPy, Matplotlib & Seaborn
• Machine Learning – Regression, classification & clustering algorithms
• AI Fundamentals – AI concepts, model building & practical applications
• Industry Projects – End-to-end AI/ML projects with real-world datasets

Step into the most powerful domain of the 21st century. This course takes you from the basics of data handling to building "intelligent" systems that can predict the future. You will master the transition from traditional Data Science to modern Generative AI, learning how to build, train, and deploy models that mimic human intelligence. This is not just a coding course; it’s an invitation to build the future.

• Data Foundations: Advanced Excel, SQL, and Python for data manipulation.

• Data Visualization: Mastering tools to turn complex data into visual stories.

• Machine Learning (ML): Supervised and Unsupervised learning, from Linear Regression to Random Forests.

• Advanced ML: Feature Engineering, Model Optimization, and Ensemble techniques.

• Deep Learning & Neural Networks: Understanding the "Brain" of AI and building layers for complex pattern recognition.

• NLP (Natural Language Processing): How machines understand human language.

• Generative AI & LLMs: Integrating ChatGPT, prompt engineering, and building AI-driven solutions.

• A strong interest in Mathematics (Statistics/Probability) and Logic.

• Proficiency in basic programming (Python is preferred).

• A high-end laptop (Minimum 16GB RAM and GPU recommended for Deep Learning).