Data Analysis SEABORN library

Learn Python NumPy and Seaborn libraries from scratch in this beginner-friendly tutorial. In this video, you will understand how NumPy is used for numerical computing and array operations, and how Seaborn helps create attractive and meaningful data visualizations in Python with minimal code.

This tutorial covers working with NumPy arrays, basic mathematical operations, and visualizing data using Seaborn plots such as bar plots, line plots, count plots, box plots, heatmaps, and distribution plots. Ideal for anyone starting their journey in Data Science, Data Analytics, and Machine Learning.

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🔹 Topics Covered:
• Introduction to NumPy library
• Creating & manipulating NumPy arrays
• Numerical operations using NumPy
• Introduction to Seaborn library
• Data visualization using Seaborn
• Bar plot, line plot, count plot, box plot
• Heatmap & distribution plots
• Real-world data visualization examples

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🔹 Why Learn NumPy & Seaborn?

NumPy and Seaborn are essential Python libraries widely used in Data Science, Machine Learning, AI, and Business Analytics. They help in efficient data processing and powerful data visualization, making insights easy to understand.

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🔹 Who Should Watch?
• Python beginners
• Data science & analytics students
• Machine learning aspirants
• Engineering & IT students
• Professionals preparing for interviews

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