Why Data Cleaning is Important in Data Analytics

Data cleaning is the process of removing errors and inconsistencies from data. It is one of the most important steps in data analysis.

At Success Root Technology, students learn:

• Handling missing values
• Removing duplicates
• Data formatting techniques
• Data validation
• Cleaning real-time datasets

Clean data ensures accurate analysis and better decision-making.