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🚀 Welcome to Part 2 of the Python Full Course (2025 Edition) — the Advanced Data Science Toolkit with NumPy, Pandas, Matplotlib, Seaborn, and Real-World Projects . In this 9-hour crash course , we take you beyond Python basics and dive into the most important libraries every data professional must master . By the end, you’ll be able to confidently analyze data, visualize insights, and even build mini-projects. --- ✅ What You’ll Learn: NumPy : arrays, shapes, broadcasting, vectorization, reshaping, indexing, slicing Pandas : DataFrames, cleaning, grouping, aggregations, missing values, merging & joining Matplotlib : line, bar, scatter, pie, histogram, box & violin plots — with full customization Seaborn : statistical visualizations, heatmaps, pair plots, distribution plots, advanced graphs Real-Time Project : Hospital treatment data analysis (with Pandas, NumPy, Seaborn, Matplotlib) Grouping & aggregating patient records Treatment cost analysis Side-by-side bar charts for insights Data-driven decisions for healthcare --- 🎯 Who Is This For? Python learners ready to move from logic → real data Data Science students & professionals Beginners who completed Part 1 (Python Basics) Anyone wanting to learn Python for Data Analysis & Visualization --- 📌 Why Watch This Video? ✔️ Learn Python libraries with clear visuals & step-by-step coding ✔️ Hands-on projects that mimic real industry tasks ✔️ Build a portfolio-ready project with data visualization ✔️ Everything explained simply — no confusing math! --- 📺 Watch Part 1 (Python Basics to OOP) first if you’re new to Python. 👉 Then continue here with NumPy, Pandas, Matplotlib & Seaborn . 💬 Got questions? Drop them in the comments — I’ll answer every one. 🔔 Don’t forget to subscribe to @KishoreLytics for more full courses & real projects. --- 🔖 SEO-Optimized Hashtags: #PythonCrashCourse #PythonDataScience #LearnPython #NumPy #Pandas #Matplotlib #Seaborn #PythonForDataScience #PythonVisualization #DataAnalysisWithPython #PythonProjects #PythonFullCourse #KishoreLytics #DataScienceWithPython #PythonForBeginners #Python2025