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Data analytics is the process of examining, cleaning, transforming, and modeling data to extract useful information, draw conclusions, and support decision-making. It involves the use of various techniques and tools to analyze data, uncover patterns, trends, and insights, and derive meaningful conclusions.\r\n\r\nKey components of data analytics include:\r\n\r\nData Collection: Gathering relevant data from various sources, which may include databases, spreadsheets, text files, sensors, and more.\r\n\r\nData Cleaning and Preprocessing: Ensuring that the collected data is accurate, complete, and formatted correctly. This step may involve handling missing values, removing duplicates, and transforming data into a suitable format.\r\n\r\nData Exploration: Examining and summarizing the main characteristics of the data using statistical and visualization techniques. This step helps identify patterns and trends that can guide further analysis.\r\n\r\nData Analysis: Applying various statistical and machine learning techniques to uncover patterns, relationships, and insights within the data. This step often involves the use of tools like Python, R, or specialized analytics platforms.\r\n\r\nData Visualization: Presenting the results of the analysis in a visual format, such as charts, graphs, and dashboards, to make it easier for stakeholders to understand and interpret the findings.\r\n\r\nInterpretation and Decision-Making: Analyzing the results and drawing meaningful conclusions that can inform business decisions or other actions.\r\n\r\n[url=https://www.sevenmentor.com/data-analytics-courses-in-pune.php]Data Analytics Course in Pune