Data analytics is a broad field that involves the process of examining, cleaning, transforming, and interpreting data to extract valuable insights, patterns, trends, and knowledge. It encompasses various techniques, methodologies, and tools for exploring and making sense of data to support decision-making and solve problems across a wide range of domains.
Data Collection
Data analytics begins with the collection of relevant data from various sources, such as databases, sensors, websites, social media, and more. The data may be structured (e.g., databases) or unstructured (e.g., text documents, images).
Data Preprocessing
Raw data often contains errors, missing values, outliers, and inconsistencies. Data preprocessing involves cleaning and transforming the data to ensure its quality and suitability for analysis.