Exploratory Data Analysis in Python

Learn about exploratory data analysis (EDA) techniques.

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4,029 learners enrolled

  • Skill level

    Beginner

  • Time to complete

    Approx. 10 hours

  • Certificate of completion

    Included with paid plans

  • Prerequisites

    None

About this course

In this course, you will learn about exploratory data analysis techniques in Python, including:

  • EDA for data preparation
  • Summary statistics
  • Data visualization techniques
  • EDA prior to building a machine learning model

Prior to taking this course, you should have some knowledge of base Python and experience with pandas DataFrames.

Exploratory data analysis is an important part of any Data Scientist or Analyst’s workflow, so we highly recommend this course for anyone who is interested in working with data.

Syllabus

5 lessons • 5 projects • 3 quizzes
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Hands-on learning

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Projects in this course

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    Codecademy Learner @ USA

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  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.

  • Assessments

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