This course takes AIXplorers deeper into the practical side of data science by showing how raw data is prepared, cleaned, transformed, explored, and shaped into meaningful insights. Learners will understand the key stages of the Data Science Life Cycle, from defining the right problem and collecting quality data to handling missing values, managing outliers, scaling features, engineering new variables, and exploring patterns through visual analysis.