Data Preparing: Raw data is inherently messy and needs cleansing and pre-processing before analysis. This phase involves jobs like figuring out and handling missing values, correcting inconsistencies, formatting data into a dependable framework, and probably removing outliers.People thinking about pursuing a career in data science ought to take int