Hands-On Data Science Workshop — a 4-Saturday intensive for beginners who want to learn data science by actually doing it, not just watching lectures. What you'll learn: WEEK 1 (June 13) — Foundations Lesson 1: What is Data Science — real-world applications, career paths, and industry tools overview Lesson 2: Python basics for data science — variables, data types, loops, functions using Google Colab (no installation needed) WEEK 2 (June 20) — Data Wrangling Lesson 3: Pandas and NumPy — loading, cleaning, and transforming real datasets Lesson 4: Data cleaning workshop — handling missing values, duplicates, outliers using a real messy dataset WEEK 3 (June 27) — Visualization & Analysis Lesson 5: Data visualization with Matplotlib and Seaborn — charts, graphs, and storytelling with data Lesson 6: Exploratory Data Analysis (EDA) — patterns, correlations, and insights from real Philippine datasets WEEK 4 (July 4) — Machine Learning Intro & Final Project Lesson 7: Introduction to Machine Learning — supervised vs unsupervised, building your first prediction model with scikit-learn Lesson 8: Final project presentation — each student presents their own mini data analysis project with findings and visualizations What's included: 12 hours of hands-on training (3 hours x 4 Saturdays) All datasets and code notebooks provided Certificate of completion Access to class recordings Post-workshop support group Requirements: Laptop with internet connection No prior programming experience needed Google account (for Google Colab) Open for online and face-to-face (Cabuyao City, Laguna) sessions.
