This course introduces students to the power of data! They’ll learn how to collect, analyze, and visualize data using tools like Python and Excel. With fun, real-life projects, students discover how data shapes the world around them—building skills in logic, math, and critical thinking.
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Module 1: Introduction to Data Science & Python Basics
What is data science? Real-life applications
Introduction to Python for data handling
Variables, data types, lists, and dictionaries
Importing and working with basic datasets (CSV files)
Module 2: Data Analysis & Visualization
Using libraries: NumPy and Pandas
Cleaning and organizing data
Descriptive statistics: mean, median, mode, etc.
Visualizing data with Matplotlib and Seaborn (bar charts, pie charts, line graphs)
Module 3: Drawing Insights & Decision Making
Filtering and grouping data
Finding trends and correlations
Making data-driven decisions
Real-life mini project: Analyzing survey or sales data
Module 4: Final Data Project
Choose a dataset (e.g., climate, sports, population)
Perform analysis and visualization
Create a report or slideshow with findings
Present and explain insights to peers