Live Training

Data Cleaning in Python

Join us for a live, hands-on training on one of the common tasks in Data Science, cleaning data in Python. You will learn how to identify, and solve various data cleaning problems ranging from simple to advanced, and prepare your dataset for analysis.

What will I learn?

You will learn how to:

  • How to diagnose different types of dirty data and perform a range of data cleaning tasks
  • Convert variables to the correct type
  • Make sure variables are in the correct range
  • Find and treat duplicate values, impute missing data and more!

What should I prepare?

Please note, a Gmail account is required in order to use Colaboratory, a free Jupyter notebook environment. You can join the webinar from your web browser following the instructions you receive in your registration email. All required data/resources will be provided in the training.

Who should attend?

This course is open to all DataCamp Premium learners, looking to sharpen their ability to diagnose and treat dirty data before making it ready for analysis. We recommend that you have taken this course before attending:

Data Cleaning in Python
Adel Nehme

Content Developer

Adel is a Content Developer at DataCamp, where he has released courses on data analysis, machine learning and data engineering in Python. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

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