📊 Graphic Techniques in Data Science | Data Visualization Explained for Beginners

In this video, we explore the most important graphic techniques used in Data Science and Data Analytics to understand patterns, trends, and insights. You will learn how to use different charts, plots, and visual tools to represent data clearly and accurately.

This session is perfect for data science beginners, analysts, Python learners, and visualization enthusiasts.

🔍 What You Will Learn:
What are graphic techniques in data science?
Importance of data visualization
Types of graphs and their uses
Line charts, bar charts, scatter plots, box plots
Heatmaps, histograms, pie charts
How to choose the right graph
Real-time examples with datasets
How visual techniques improve decision making

🧠 Why Graphic Techniques Matter in Data Science
Graphic techniques help you:
Identify hidden patterns
Detect trends and outliers
Present complex data in a simple way
Improve data storytelling
Build better reports and dashboards

Data visualization is a key skill in Machine Learning, Business Analytics, and AI projects.

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