Loading...

Data Analytics

3,093 learners

Data Cleaning and Preprocessing Techniques

Embarking on this course allows you to deeply understand and apply data cleaning and preprocessing techniques. It systematically covers the concepts of data cleaning, handling missing values, normalization, binning, encoding, and more, aiming to equip you with practical skills for preparing data for analysis or machine learning tasks.

Pandas

Python

See path

5 lessons

24 practices

2 hours

Data Cleaning and Preprocessing

Course details

Understanding and Handling Missing Values in Datasets with Python

Preview

Applying Missing Values Handling to Clients' Personal Information Dataset

Replacing Mean with Median

Filling the Missing Values in the Clients Dataset

Addressing Missing Values in Client Data

Previous Course

Next Course: Advanced Preprocessing and Collecting Techniques

Meet Cosmo:

The smartest AI guide in the universe

Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.

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.