Exploratory Data Analysis (EDA) is the first stage in data analysis. Its goal is to understand the nature of the data before applying any models or algorithms. EDA helps in discovering patterns, identifying outliers, and understanding relationships between variables.
Power Pivot is an advanced Excel feature that allows users to analyze large datasets efficiently. When analyzing sales data, Power Pivot helps you create dynamic reports, uncover trends, and make data-driven decisions.
Data cleaning is the process of removing or correcting errors and issues in raw data, with the goal of improving its quality and making it ready for analysis or model training.