Data Analytics: Managerial Perspectives This research course introduces theories, concepts, techniques and applications of data analytics - a managerial approach to data collection, data analysis to support a wide variety of management tasks and decision-making, from performance evaluation to trend spotting and policy-making. Students explore various systems for data analysis such as multivariate data analysis, data mining (web and text mining), data warehousing for information use and transfer, cloud computing, and crowdsourcing in order to create data-based or knowledge-based and decision support systems for personal and organizational decision making. Topics include descriptive analytics and statistical modeling, predictive analytics, large-scale data analytics, prescriptive analytics, operations analytics, data models and analytics in communication, data governance, metadata analysis, multimedia analytics, and big data analytics, and how to deal with limitations of big data and data analytics. Future trends and emerging technologies are introduced that may impact analytics, and decision support.