How does data mining contribute to predictive analytics and trend identification?
Through the discovery of hidden patterns and relationships in massive datasets, data mining aids in predictive analytics. It uses methods like regression, classification, and grouping to help forecast future events based on past data. Data mining examines consumer behavior and time-series data to find patterns, including seasonal shifts in demand or market trends. This helps companies to optimize strategies, improve consumer experiences, and make well-informed decisions. Through the use of statistical models and algorithms, data mining turns unprocessed data into insights that may be put to use. You should think about taking a data analytics course to learn these skills.
Enroll: https://www.theiotacademy.co/data-analyst-certification-course