GearMinds STEM Academy

Tuesday, 6:00 - 7:30 PM CST

A Comprehensive 18-Week Project-Based Journey into Real-World Data Analysis

This project-based course introduces high school students to the fundamentals of data science, utilizing Python as the programming language. Through hands-on projects and real-world datasets, along with instructor-led coding sessions, students will learn how to collect, analyze, and visualize data. They will master industry-standard tools and techniques while working with diverse datasets, from social media analytics to environmental data. The course emphasizes practical skills over theory, with each session combining direct instruction and immediate application.

Key Differentiators:

Hands-On Work: Every concept is learned through immediate coding applications.
Industry-Relevant Stack: The curriculum focuses on Python, Pandas, Matplotlib, and Jupyter Notebooks.
Progressive Complexity: Projects are designed to gradually increase in complexity, progressing from basic analysis to predictive modeling.
Real-World Datasets: Students work with current data sourced from APIs, public repositories, and datasets collected by students themselves.
Professional Workflows: Learn to use version control with GitHub and adopt collaborative coding practices.

Course Structure:

Foundations Phase (Weeks 1-6): Core Python for Data Manipulation.
Analysis Phase (Weeks 7-12): Exploratory Data Analysis and Visualization.
Applied Phase (Weeks 13-18): Capstone Project Development.

Course Goals:

• Implement Python data structures for efficient data storage
• Write Python scripts using Pandas and NumPy
• Clean and manipulate real-world datasets
• Analyze social media, sports stats, or scientific data
• Real World Project Execution