Master the essential Python libraries for data science in this comprehensive one-hour video tutorial. Learn to harness the power of NumPy, Pandas, and Plotly for data analysis and visualization. Work through practical examples using real-world financial data, including stock information from Apple and Microsoft. Follow along with the provided code files to gain hands-on experience in data manipulation, analysis, and visualization techniques. Discover how to efficiently handle large datasets, perform complex calculations, and create stunning visualizations to communicate your findings effectively. By the end of this tutorial, acquire the core skills used by professional data scientists to tackle real-world data challenges using Python.