1. Introduction to Data Science & AI

• Importance of data science in modern business

• Overview of AI, Python, and Tableau

• Career opportunities in data analytics and AI

2. Python Programming for Data Science

• Python basics for beginners

• Data structures, functions, and libraries

• Pandas and NumPy for data manipulation

• Matplotlib and Seaborn for visualization

3. Data Analysis & Visualization

• Data cleaning and preprocessing

• Exploratory data analysis

• Creating visual dashboards with Tableau

• Connecting Python with Tableau

4. Artificial Intelligence Basics

• Introduction to AI and machine learning concepts

• Supervised vs unsupervised learning

• Practical AI projects using Python

• Predictive analytics and real-world applications

5. Advanced Data Science Projects

• End-to-end data analysis projects

• AI-powered predictive models

• Data visualization dashboards

• Real-world business problem-solving

6. Career Guidance & Next Steps

• Building a portfolio for data science and AI

• Resume preparation and interview tips

• Roadmap for advanced AI and machine learning