? Introduction to Data Science: What is data science and why it matters in today’s world
? Data Collection & Cleaning: Learn how to gather, clean, and prepare real-world data
? Exploratory Data Analysis (EDA): Use graphs, charts, and stats to uncover hidden patterns
? Spreadsheets to Python: Transition from Excel to Python using pandas and Jupyter notebooks
? Data Visualization: Create eye-catching visual stories with matplotlib, seaborn, and plotly
? Statistics Made Fun: Understand mean, median, mode, correlation, and probability
? Intro to Machine Learning: Use beginner-friendly models like decision trees and k-NN
? Solve Real-Life Mysteries: Analyze datasets from sports, music, environment, and more
? Mini Projects: Hands-on projects like predicting grades or analyzing social media trends
? Ethics in Data Science: Discuss bias, privacy, and responsible data use
? Storytelling with Data: Turn insights into presentations and data dashboards
? Collaborative Challenges: Team up to crack data puzzles and win mini-hackathons
? Capstone Project: Investigate a real-world question and present your findings
? Demo Day & Certificates: Showcase your work to mentors, parents, and peers
? No Prior Coding Needed: Learn everything from the ground up — just bring curiosity!