Matt Harrison, a seasoned data scientist and instructor, shares his insights on crafting compelling data visualizations. He emphasizes the importance of mastering a few familiar plot types to effectively communicate insights. Discussing his book, he offers methods for improving plots with Matplotlib and Pandas and highlights the need for clarity and accessibility in visual storytelling. Matt also explores using personal and synthetic data for engaging projects while addressing the evolving landscape of data analysis influenced by social media and AI.

Best-selling author and leading Python consultant Matt Harrison delves into XGBoost, discussing key hyperparameters, optimal modeling scenarios, and when to use/not use XGBoost. He also shares his recommended Python libraries and production tips for upgrading your data science toolkit.

Pandas expert Matt Harrison shares tips for mastering Pandas, including self-publishing advice, corporate skill level-up, effective learning methods, motivation tricks, Git and Unix command line tips, and recommended software libraries for tabular data.