Skip to main content

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

Create Your Free Account

Practice and track your progress.

Continue with GoogleBy continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Code along with us on

Code Along ↗

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:

Code Along With Us!

[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

Get Certified! Data Analyst Certification

Topics

Data ScienceData AnalysisData Analyst

Related

Tutorial

Python Exploratory Data Analysis Tutorial

See More →