In this hands-on program, students will explore how Python can transform raw data into meaningful insights. Over five days, they will work with real-world datasets using NumPy, Pandas, and Matplotlib. Through guided practice, they will learn how to clean, analyze, and visualize data. By the end of the program, students will not only be able to code but will also think like data analysts by identifying patterns, creating charts, and presenting data-driven conclusions.
Learning Outcomes
Students will learn to:
- Build a strong foundation in Python using variables, loops, and data structures
- Use NumPy and Pandas to organize and manipulate data efficiently
- Apply descriptive statistics to discover trends and insights
- Create meaningful charts and visual reports using Matplotlib and Seaborn
- Communicate findings through effective data storytelling
5-Day Learning Plan
Day 1: Introduction to Python and Data
- Learn essential Python concepts and understand how data is represented.
- Mini Project: Student Grades Tracker – calculate totals and averages
Day 2: Working with NumPy
- Explore arrays and perform fast, efficient data calculations.
- Mini Project: Sports Statistics Analyzer – compare player performance and identify top scorers
Day 3: Exploring Data with Pandas
- Load, clean, filter, and analyze CSV data using DataFrames.
- Mini Project: Store Sales Analyzer – identify best-selling products and revenue trends
Day 4: Data Visualization
- Create visual charts and graphs using Matplotlib and Seaborn.
- Mini Project: Sales Trend Visualizer – design dashboards showing business performance
Day 5: Final Data Challenge and Showcase
- Apply all skills to complete an independent analysis project.
- Final Project: Mini Business Dashboard – analyze a café’s weekly performance and present insights
