Data and technology are driving business change. Leading companies are investing in the tech, data, processes, and people to empower better decision-making and faster corrections based on what they learn. Predictive analytics, where data is used to forecast future trends and events, can help drive strategic decision-making. This type of analysis goes beyond explanations and predictions to recommend the best course of action moving forward, advancing business growth, and maintaining a competitive edge.
The three month Predictive Analytics in Business professional certificate from IE University explores data-driven forecasting techniques from a business and technical perspective. Drawing on the Cross-Industry Standard Process for Data Mining (CRISP-DM), you’ll explore an iterative approach to predictive analytics and learn how to leverage this knowledge to achieve business goals. You’ll analyze real-world case studies as you develop an understanding of how data-driven models can improve your ability to make decisions in a fast-paced world. You’ll also engage with the technical aspects of predictive modeling demonstrated with activities pre-populated with Python code. Other outcomes include an exploration of regression and classification analysis for business strategy and decision-making, and the forecasting methods needed to estimate future business results. By the end of the program, you’ll learn to aid decision-making and risk management strategies in your organization using your newfound predictive analysis toolkit.
