Data Analysis, Data Analytics, Data Science, Data Visualization, Data.
this step. After the data collection stage, we need to identify — data errors, missing values, null values, duplicate data, redundant data, and incorrect data types. Post all the ETL processes, we use the data for analysis and further usage. We need to handle the data cleansing and manipulation