Building a Fitness Tracker
Leverage AI & Python to Analyze and Visualize Fitness Tracking Data
Created by DataLab, Bernd Schrooten
Discover how to use Python and AI to analyze and visualize fitness tracking data. You'll work with real datasets to uncover trends, clean data, and create interactive visuals that help monitor and improve your fitness journey. No prior experience with advanced analytics is needed to get started.
DataLab | Mar 2025 | 44 min
What You Will Learn
You will follow a hands-on, code-along format using real fitness data. Step by step, you'll practice cleaning and preparing data, performing exploratory analysis, and building interactive charts. AI tools will help you write Python code faster and automate parts of your analysis, making the process approachable and efficient.
Key Features
- Analyze and clean fitness data using Python and Pandas for accurate insights
- Create interactive visualizations with Plotly to track fitness progress over time
- Leverage AI-assisted coding to speed up data analysis and automate insights
Target Audience
Perfect for data analysts, business analysts, or anyone curious about fitness technology and data science. If you have basic Python skills and want to learn how to analyze and visualize fitness data for better decision-making, you'll find practical value and actionable skills here.
