Course title Level Teaching language(s) Business Analytics M1 English Contact hours Self-learning hours (no contact) Number of Total learner Off-line Online ECTS credits hours Face-to-face Online Group Individual Group Individual 2 50 12 3 10 20 8 General...
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Course title Level Teaching language(s) Business Analytics M1 English Contact hours Self-learning hours (no contact) Number of Total learner Off-line Online ECTS credits hours Face-to-face Online Group Individual Group Individual 2 50 12 3 10 20 8 General Objectives and brief description of the course In today’s data rich world students need to know how to collect data and apply appropriate statistical methods to develop new insights, make better decisions, and drive business action. Today, business analytics is used to improve performance in functions as diverse as marketing and sales, finance, operations and strategy. Business analytics draws on three fields of study to improve decision making: management science to help express and model business problems, information systems to collect and manage data, and statistics to process data and visualize results. This class is organized around a recognized hypothesis-driven analytics process and uses readily available computer software. Li
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