Dive deep into advanced data modeling techniques using Python in this comprehensive conference talk from PASS Data Community Summit. Learn how to leverage Python's powerful libraries and tools for data science and machine learning, with a focus on integration within the Microsoft stack. Explore the entire data modeling process, from extraction and cleaning to transformation, visualization, and predictive modeling. Gain hands-on experience with popular packages like pandas, numpy, matplotlib, and scikit-learn as you work through real-world datasets. Master essential techniques such as feature engineering, dataset splitting, model testing, and interpretability of machine learning models. Discover how to properly deploy your data models in Azure, ensuring you're equipped with the skills to conduct thorough data analysis and modeling using Python. Perfect for data scientists and analysts looking to enhance their Python skills and integrate them with Microsoft technologies.