Data Analytics involves examining, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. It involves combining techniques from statistics, computer science, and domain knowledge to analyze structured or unstructured data and extract meaningful insights.
Key components of data analytics include:
Data Collection: Gathering raw data from various sources like databases, surveys, logs, or real-time sensors.
Data Cleaning: Removing or correcting inaccuracies, inconsistencies, and missing values to prepare the data for analysis.