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Extracting TV Data Insights

Beginner
Updated 09/2024
Use data manipulation and visualization to explore a television broadcast dataset from the Super Bowl.
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Project Description

With intermediate Python skills under your belt, you are ready to analyze and extract meaningful insights from various data sources. In this project, you'll use data manipulation and visualization techniques to explore television data related to American football's biggest event, including game outcomes and viewership statistics.

Project Tasks

  1. 1
    Use DataFrame manipulation to explore TV datasets.

Technologies

Python Python

Topics

Data Manipulation

Prerequisites

Intermediate Python
Francesca Donadoni HeadshotFrancesca Donadoni

AI Curriculum Manager at DataCamp

Francesca is an AI Curriculum Manager at DataCamp, where she works to create courses, content, and solutions for AI learning. She has a keen interest in inclusive and accessible AI-based technologies. After graduating from Imperial College London in 2014, she earned a master's and PhD in Bioengineering at UCL. She spent two years at Northwell Health Labs in the US developing algorithms with clinical data, then returned to London to work as a Machine Learning and AI Engineer with startups before joining DataCamp.
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