Preprocess data with Data Wrangler in Microsoft Fabric

Data Analyst
Data Engineer
Data Scientist
Microsoft Fabric

Data Wrangler serves as a comprehensive tool for preprocessing data. It enables users to clean data, handle missing values, and transform features to build machine learning models.

Learning objectives

In this module, you'll:

  • Learn Data Wrangler features, and its role in the data science workflow.
  • Perform different types of preprocessing operations in data science.
  • Learn how to handle missing values, and imputation strategies.
  • Use one-hot encoding and other techniques to convert categorical data into a format suitable for machine learning algorithms.


Before starting this module, you should be familiar with the basic principles of machine learning.