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AI Python Zero-to-Hero: Build Your Own Fitness Tracker

Key Takeaways:
  • Learn how to perform exploratory data analysis on fitness tracking data.
  • Discover how to visualize fitness progress using Python.
  • Explore how AI can assist in generating Python code for data analysis tasks.
Tuesday, January 16 11 AM ET
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Description

In this first session of our AI Python Zero-to-Hero code-along series, you’ll jump into the world of Python and learn its fundamentals using AI. As part of the session, you’ll learn how to combine AI, data analysis, and Python to accelerate your own personal fitness goals. 

Throughout the session, Yashas Roy, a Senior Learning Solutions Architect at DataCamp, will walk you through 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 easily create meaningful visualizations.

Presenter Bio

Yashas Roy Headshot
Yashas RoySenior Learning Solutions Architect at DataCamp at DataCamp

As a Senior Learning Solutions Architect, Yashas partners with DataCamp's enterprise customers to design and implement tailored learning programs that build data skills across their workforce. Previously, he led DataCamp's Content Development team in expanding DataCamp’s course library to over 250 courses.

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