Data Explorer – Foundations of Python Analytics

In this mentor-guided, 5-day Python Data Science program, students explore how data shapes decisions in the real world. Through hands-on projects, they’ll learn to use Python, NumPy, Pandas, Matplotlib, and Seaborn to clean, analyze, and visualize real datasets—transforming raw information into meaningful insights.

Each session blends coding with critical thinking, helping students not only write Python programs but also think like analysts—identifying trends, finding patterns, and presenting data-driven stories effectively.

What Students Will Learn

Communicate results through data storytelling and presentations.

Create engaging data visualizations with Matplotlib and Seaborn.

Apply descriptive statistics to uncover patterns and insights.

Use NumPy and Pandas to clean, organize, and manipulate large datasets.

Build a foundation in Python syntax, variables, loops, and data structures.

5-Day Learning Plan

By the end, students will confidently handle real-world datasets, visualize trends, and tell compelling stories using data—an essential skill in today’s digital world.

Day 1: Python & Data Basics – Create a Student Grades Tracker to calculate totals and averages.

Day 2: Working with NumPy – Build a Sports Stats Analyzer comparing player performance.

Day 3: Exploring Data with Pandas – Develop a Store Sales Analyzer to find best-selling items.

Day 4: Visualizing Data – Create a Sales Trend Dashboard using charts and graphs.

Day 5: The Data Challenge – Combine all skills in a final Business Dashboard analyzing café performance.

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