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Python Academy · Lesson

Exploratory Data Analysis (EDA)

Learn techniques to summarize, visualize, and understand data using Pandas and Matplotlib.

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Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA) is a critical step in the data science workflow. It involves summarizing, visualizing, and understanding the data to uncover patterns, relationships, and insights.

In this lesson, you’ll learn techniques for performing EDA using Python libraries like Pandas and Matplotlib.

Exploratory Data Analysis (EDA) — illustration 1

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What is EDA?

EDA helps you:

  • Understand the structure and characteristics of the data.
  • Identify patterns, trends, and outliers.
  • Decide how to preprocess the data for further analysis or modeling.

All lessons in this course

  1. What is Data Science?
  2. The Role of Python in Data Science
  3. Data Structures for Data Science
  4. Data Cleaning and Preprocessing
  5. Exploratory Data Analysis (EDA)
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