Data Cleaning | Comprehensive Guide for Beginners & Professionals

Master efficient workflows for cleaning real-world, messy data with techniques for handling missing values, scaling, and more. Ideal for data science journey.

Introduction

Data Cleaning by Rachael Tatman is a comprehensive guide on cleaning and preparing data for analysis, suitable for both beginners and experienced data professionals.

Highlights

• Master efficient workflows for cleaning real-world, messy data
• Learn techniques for handling missing values, scaling and normalization, parsing dates, and dealing with character encoding issues
• Gain practical experience through interactive exercises and code examples

Recommendation

This course is highly recommended for anyone who wants to develop strong data cleaning skills, whether you're a beginner just starting your data science journey or an experienced professional looking to improve your data preparation workflow.