Exploratory Data Analysis in Python
Learn how to use exploratory data analysis (EDA) techniques in Python to evaluate, summarize, and visualize your data.
Skill level
BeginnerTime to complete
Approx. 10 hoursCertificate of completion
Included with paid plansPrerequisites
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 quizzes4 out of 5 Codecademy learners achieve their goals
"Codecademy gave me the tools I needed to land my first job as a developer, completely changing my career from the waste industry." - Jonathan Manner, Sweden
Projects in this course
- Project
EDA: Diagnosing Diabetes
Inspect, clean, and validate a dataset on diabetes prevalence among females of Pima Indian heritage. - Project
Exploring Student Data
Summarize the features of a dataset about student performance at two different schools. - Project
A/B Testing for ShoeFly.com
Analyst the A/B test data from ShoeFly.com using aggregate measures.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Unlock additional features with a paid plan
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.
Join over 50 million learners and start Exploratory Data Analysis in Python today!
...
Frequently asked questions about Exploratory Data Analysis in Python
You need to understand your data before you can put it to good use. Exploratory data analysis (or EDA) involves familiarizing yourself with a new dataset. Generally you’re just looking for a broad understanding and insights into possible patterns and relationships within the data.