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Exploratory Data Analysis in Python for Beginners

In this code-along, you will be introduced to the basics of exploring new datasets. Using data on UK Premiership soccer results, you will use Python to calculate summary statistics and draw visualizations to generate insights.
George Cunningham
George Cunningham

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Exploratory data analysis is about getting to know a new dataset. It is an essential skill for any data analyst or data scientist.

In this code-along, you will be introduced to the basics of exploring new datasets. Using data on UK Premiership soccer results, you will use Python to calculate summary statistics and draw visualizations to generate insights.

Key Takeaways:

  • Learn to use the popular pandas package to explore a new dataset.
  • Learn to calculate averages and other common summary statistics using Python.
  • Learn to draw interactive plots using Plotly Express.

Additional Resources:

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[COURSE] Exploratory Data Analysis in Python

[COURSE] More soccer analysis in Data Manipulation in SQL

[PROJECT] Hypothesis Testing with Men's and Women's Soccer Matches

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