Рет қаралды 1,127
Resources (including link to code along notebook): bit.ly/3Wk75OO
Part 2 (Tomorrow): www.datacamp.c...
Part 3 (Thursday): www.datacamp.c...
Building a fitness tracker is an exciting way to combine data analysis skills with personal fitness goals. By exploring fitness tracking data, creating visualizations, and leveraging AI to automate tasks, you can gain valuable insights into workout performance and progress. This hands-on experience not only deepens your understanding of data analysis but also shows how AI can enhance your productivity as an analyst.
In this code-along session, Yashas Roy, a Senior Learning Solutions Architect at DataCamp, will walk you through the process of creating your own fitness tracker. You’ll learn how to perform exploratory data analysis on fitness data, visualize progress using interactive plots, and use AI to generate Python code for faster analysis. Designed for data and business analysts, this session will give you practical tools to analyze fitness data and create meaningful visualizations with ease.