Course Created by: Farhan Siddiqui
Data Science & AI Development Expert
A comprehensive curriculum covering the complete spectrum of data science, artificial intelligence, and full-stack development technologies.
This intensive course is designed to transform you from a beginner to a proficient data scientist and AI developer. You'll master advanced Excel techniques, programming fundamentals, statistical analysis, machine learning, deep learning, generative AI, and full-stack development with deployment expertise.
- Introduction to Data Science - Core concepts, methodologies, and career paths
- Advanced Excel for Data Science - Pivot tables, VBA, Power Query, advanced formulas
- Python Programming - From basics to advanced OOP and data structures
- Version Control with Git - Collaborative development and project management
- SQL Mastery - Database design, complex queries, optimization
- Python Data Analysis - NumPy, Pandas, data manipulation
- Statistical Analysis - Descriptive statistics, inferential statistics, hypothesis testing
- Business Intelligence Tools - PowerBI and Tableau for advanced visualizations
- Machine Learning Fundamentals - Supervised/unsupervised learning, model evaluation
- Deep Learning - Neural networks, CNNs, RNNs, transformers
- Generative AI - Large Language Models, text generation, image synthesis
- Agentic AI - Autonomous agents, multi-agent systems, AI reasoning
- Backend Development - APIs, databases, server-side programming
- Frontend Development - Modern web frameworks, responsive design
- Full-Stack AI Development - Integrating AI into web applications
- DevOps & Deployment - CI/CD, cloud deployment, monitoring
This comprehensive course covers the following key areas:
- Introduction to Data Science and career paths
- Advanced Excel techniques for data analysis
- Python programming fundamentals
- Version control with Git and collaborative development
- SQL database design and complex querying
- Python data analysis with NumPy and Pandas
- Statistical analysis and hypothesis testing
- Business intelligence with PowerBI and Tableau
- Machine learning fundamentals and algorithms
- Deep learning with neural networks
- Generative AI and Large Language Models
- Agentic AI and autonomous systems
- Backend development with modern frameworks
- Frontend development and responsive design
- Full-stack AI application development
- DevOps, deployment, and monitoring
- Cloud deployment and containerization
- Real-time AI inference systems
- Multi-agent AI systems
- Production-grade AI applications
- Python - Primary language for data science and AI
- SQL - Database querying and management
- JavaScript - Frontend and full-stack development
- HTML/CSS - Web development fundamentals
- NumPy - Numerical computing
- Pandas - Data manipulation and analysis
- Scikit-learn - Machine learning
- TensorFlow/PyTorch - Deep learning
- Matplotlib/Seaborn - Data visualization
- OpenAI API - Generative AI integration
- Flask/Django - Backend development
- React/Vue/Angular - Frontend frameworks
- Node.js - Server-side JavaScript
- PowerBI - Microsoft's BI platform
- Tableau - Advanced data visualization
- Git/GitHub - Version control
- Docker - Containerization
- AWS/Azure/GCP - Cloud platforms
- Kubernetes - Container orchestration
Upon completion of this course, you will be able to:
- Perform advanced data analysis using Excel and Python
- Design and query complex databases with SQL
- Apply statistical methods for data-driven decision making
- Create compelling visualizations with PowerBI and Tableau
- Build and deploy machine learning models
- Develop deep learning applications
- Create generative AI solutions
- Design autonomous AI agents
- Develop complete web applications
- Integrate AI capabilities into software
- Deploy applications to production environments
- Monitor and maintain deployed systems
- Collaborate using version control systems
- Follow software development best practices
- Present data insights effectively
- Work with real-world datasets and problems
- Basic computer literacy
- High school mathematics
- Eagerness to learn and problem-solve
- No prior programming experience required
- Follow the Module Order: Start with Module 1 and progress sequentially
- Complete Hands-on Exercises: Each module includes practical exercises
- Use the Practice Datasets: Work with real-world data provided
- Build Portfolio Projects: Apply skills to create showcase projects
- Join the Community: Collaborate and learn from peers
- Python 3.8+ - Download from python.org
- VS Code - Free code editor with Python extensions
- Git - Version control system
- Excel - Microsoft Excel or Google Sheets
- PowerBI Desktop - Free from Microsoft
- Tableau Desktop - Trial version available
- See
1_introduction/3_python_vscode_installation.markdownfor detailed setup - Each module includes specific installation requirements
batch 3/
├── 1_introduction/ # Course overview and setup
├── 2_excel/ # Advanced Excel techniques
├── 3_python/ # Python programming fundamentals
├── 4_intro_to_web_development/ # Web development basics
├── 5_python_for_data_analysis_and_visualization/ # Data analysis with Python
├── practice_data/ # Datasets for hands-on learning
└── README.md # This file
This course is designed for collaborative learning. Feel free to:
- Share your solutions and insights
- Report issues or suggest improvements
- Contribute additional resources
- Help fellow learners
This course prepares you for roles such as:
- Data Scientist - Analyze data and build predictive models
- Machine Learning Engineer - Develop and deploy AI systems
- Full-Stack Developer - Build complete web applications
- Business Intelligence Analyst - Create data visualizations and reports
- AI Engineer - Work on cutting-edge AI technologies
- Data Engineer - Build data pipelines and infrastructure
- Foundation skills and tools
- Basic programming concepts
- Introduction to data analysis
- Advanced data manipulation
- Statistical analysis
- Machine learning fundamentals
- Deep learning basics
- Generative AI and agentic systems
- Full-stack development
- Business intelligence tools
- Production deployment
Course Created by: Farhan Siddiqui
Data Science & AI Development Expert