What’s the role of data cleaning in the data analytics lifecycle?

Data cleaning plays a critical role in the data analytics lifecycle by ensuring accuracy, consistency, and reliability of data before analysis. It involves removing duplicates, handling missing values, correcting errors, and standardizing formats. Without clean data, insights derived from analytics can be misleading or completely inaccurate. Every Online course data analytics program emphasizes data cleaning as a foundational skill because it's essential for producing valid results. By mastering data cleaning through an online course data analytics, professionals can improve the quality of their models, drive better business decisions, and enhance the credibility of their reports and dashboards.