Lecture-8: Data Visualization with Matplotlib & Seaborn | Python | Data Analytics | AI | ML| Series

🎨 Data Visualization with Matplotlib & Seaborn
Series: Python | Data Analytics | AI | ML

📌 Session Description:
"Data Visualization with Matplotlib & Seaborn" is a key session in our Python-based Data Analytics, AI, and ML learning series. This session is designed to equip participants with essential skills to transform raw data into meaningful and visually compelling insights using two of Python’s most powerful libraries: Matplotlib and Seaborn.

Whether you're analyzing trends, exploring relationships, or presenting results to stakeholders, the ability to create clear and effective visualizations is crucial in data science workflows.

🧠 What You'll Learn:
🔍 Why Data Visualization Matters
Learn the role of visual storytelling in analytics, AI, and machine learning workflows.

📊 Plotting with Matplotlib
Build foundational plots such as:

Line charts

Bar graphs

Histograms

📈 Advanced Visualization with Seaborn
Explore aesthetically rich and informative plots like:

Heatmaps

Box plots

Pair plots for multivariate analysis

🎨 Plot Customization Techniques
Enhance your visuals with titles, labels, color palettes, grid styles, and themes.

🛠️ Tools & Libraries:
Python

matplotlib

seaborn

(Optional: pandas, numpy, Jupyter Notebook)

👥 Ideal For:
Aspiring data analysts and scientists

AI/ML enthusiasts

Anyone seeking to present data more effectively

This session is hands-on and beginner-friendly, with practical code demonstrations and real-world examples to help participants master the art of data visualization.