In today’s data-driven world, the ability to understand and visualize data is a superpower. This hands-on workshop introduces you to two of the most essential tools in a data scientist’s toolkit — Pandas and Matplotlib.
💡 What You’ll Learn:
📊 Data Handling with Pandas:
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Loading datasets (CSV, Excel, Web URLs)
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Data wrangling: filtering, grouping, merging, and transforming
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Handling missing values & reshaping data
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Generating descriptive statistics
📈 Visualization with Matplotlib:
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Creating insightful plots (line, bar, pie, histograms)
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Customizing charts with colors, labels, grids, and legends
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Multi-plot figures and subplots
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Combining Pandas and Matplotlib for storytelling with data
🧠 Who Should Attend:
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Students in data science, AI, or analytics streams
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Python learners ready to level up with real-world tools
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Aspiring data analysts and ML engineers
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Anyone interested in data interpretation and storytelling
🧰 Toolkit You’ll Use:
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Python 3.13
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Jupyter Notebook
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Pandas
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Matplotlib
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Sample datasets for hands-on practice
🚀 Bonus: Mini-Project Challenge
Apply your skills to a real dataset and build a mini visual report — a perfect start to your portfolio!
