Data Analytics is the science that allows decision makers to unveil new business insights by examining large amounts of data to uncover hidden patterns, correlations and other important insights. This course is designed to provide graduates and working professionals with the knowledge and a diverse set of skills that span across all layers of the knowledge discovery stack including storage, mining, analytics, decision support frameworks, and visualizations, as well as practical experience with modern tools.
In particular, students will learn how to (i) analyze large data sets and summarize their main characteristics with the use of attractive data visualizations; (ii) design and create databases that allow organizations to efficiently manage and query their enterprise data; (iii) discover patterns in large data sets with established techniques from various fields such as statistics, machine learning, and artificial intelligence; and (iv) understand today’s turbulent business environment and learn how modern BI tools enable organizations to survive and excel.
This course is designed to provide graduates and working professionals with skills that enable them to organize, analyze, explore, interpret and visualize their data, as well as acquire practical experience with modern tools. These skills can be used in virtually every industry domain that uses data, such as Banking Consumer, Healthcare, Energy, Manufacturing, Technology, etc.
Additionally, the course provides a multitude of career options in both national and international data analytics companies such as Data Analytics Business Consultant, Data Analytics Architect, Data Engineer, Data Solution Architect, Data Analyst, Analytics Associate, Business Intelligence and Analytics Consultant, Metrics and Analytics Specialist, and many more.
Program taught in: