Course Modules

Introduction to Data Cleaning

Understand the importance of data cleaning and its role in data analysis.

  • What is Data Cleaning? - Duration: 1 hour
  • Common Data Quality Issues - Duration: 1.5 hours
  • Data Cleaning Process - Duration: 1.5 hours
Data Preprocessing Techniques

Explore techniques for cleaning and preprocessing different types of data.

  • Handling Missing Data - Duration: 2 hours
  • Outlier Detection and Treatment - Duration: 2.5 hours
  • Data Transformation - Duration: 2 hours
Advanced Data Cleaning Techniques

Master advanced data cleaning techniques for complex datasets.

  • Text Data Cleaning - Duration: 2.5 hours
  • Handling Categorical Data - Duration: 2 hours
  • Data Integration and Deduplication - Duration: 2 hours

Is this course for me?

This course is designed for beginners with no prior experience in SQL. If you want to learn how to work with databases, analyze data, and become proficient in SQL, this course is perfect for you.