Data Analytics involves examining, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. It combines 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. Data Transformation: Structuring the data into a usable format, often through processes like normalization, aggregation, or feature engineering. Data Analysis: Using statistical methods, machine learning algorithms, and visualization tools to uncover patterns, trends, or correlations in the data. Data Interpretation: Converting the results into actionable insights that can inform business strategies or solve specific problems. https://www.sevenmentor.com/data-analytics-courses-in-pune.php