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Data Analytics Techniques

Data analytics techniques refer to the process of using statistical and computational methods to analyze large and complex data sets. These techniques help organizations gain insights and make data-driven decisions. There are several data analytics techniques used in the industry, such as descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. Data analytics techniques have several applications in different fields such as finance, healthcare, retail, marketing, and sports. These techniques help organizations to identify patterns, trends, and outliers in data, and make data-driven decisions that can lead to increased profits, improved customer satisfaction, and optimized operations.