Introduction to Data Cleaning with Python

Data Analytics

179 learners

This course introduces fundamental concepts of data cleaning using Python, covering essential libraries, handling missing values, detecting and removing duplicates, dealing with outliers, and normalizing data for analysis.

Pandas

Python

See path

5 lessons

19 practices

1 hour

Exploratory Data Analysis

Course details

Data Handling and File Operations in Python

Preview

Modify Entries in a DataFrame

Managing Missing Data with Pandas

Debug the Agenda Logic

Mastering DataFrame Inspection

Next Course: Cleaning and Transforming Data with Pandas

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Abbey Helterbran

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Jonathan Miller

Senior Machine Learning Engineer

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I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11