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Exploratory Data Analysis in Python

Intermediate
4.7+
46 reviews
Updated 12/2024
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
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PythonExploratory Data Analysis4 hours14 videos49 exercises4,150 XP58,153Statement of Accomplishment

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Course Description

So you’ve got some interesting data - where do you begin your analysis? This course will cover the process of exploring and analyzing data, from understanding what’s included in a dataset to incorporating exploration findings into a data science workflow.

Using data on unemployment figures and plane ticket prices, you’ll leverage Python to summarize and validate data, calculate, identify and replace missing values, and clean both numerical and categorical values. Throughout the course, you’ll create beautiful Seaborn visualizations to understand variables and their relationships.

For example, you’ll examine how alcohol use and student performance are related. Finally, the course will show how exploratory findings feed into data science workflows by creating new features, balancing categorical features, and generating hypotheses from findings.

By the end of this course, you’ll have the confidence to perform your own exploratory data analysis (EDA) in Python.You’ll be able to explain your findings visually to others and suggest the next steps for gathering insights from your data!

Prerequisites

Introduction to Statistics in PythonIntroduction to Data Visualization with Seaborn
1

Getting to Know a Dataset

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2

Data Cleaning and Imputation

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3

Relationships in Data

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4

Turning Exploratory Analysis into Action

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Exploratory Data Analysis in Python
Course
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Don’t just take our word for it

*4.7
from 46 reviews
80%
17%
2%
0%
0%
  • Dimitris L.
    7 days

    nice course

  • Jordan S.
    11 days

    Good overview of EDA and clear content

  • Paul C.
    about 1 month

    This course introduces some more advanced concepts and techniques that are taught thoroughly and clearly.

  • Nataliya K.
    about 1 month

    Great class!

  • PASCAL P.
    about 2 months

    Great learning experience.

"nice course"

Dimitris L.

"Good overview of EDA and clear content"

Jordan S.

"This course introduces some more advanced concepts and techniques that are taught thoroughly and clearly."

Paul C.

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