MBAI Course “Introduction to Data Analytics and Artificial Intelligence”
Planning to start your career in Data science? Please, do not miss this course as part of the MBAI program!
Introduction to Data Analytics and Artificial Intelligence
Dates: December 21-23
The objective of the course is to learn analytical models and overview quantitative algorithms for solving data-driven and business problems. We will show how various data science and analytics techniques such as basic statistics, regressions, uncertainty modeling, simulation and optimization modeling, data mining and machine learning, text analytics, artificial intelligence, and visualizations can be implemented and applied using Python. Python and IBM Watson Analytics are modeling and visualization software used in this course.
The course consists of three phases: study sessions, project preparation, and project defense.
Oleksandr Romanko, Senior Research Analyst Risk Analytics, Watson Financial Services, IBM, Toronto, ON, Canada. In 2010 Oleksandr obtained a Ph.D. degree in Computer Science at the McMaster University, Hamilton, ON, Canada. Currently he works as an adjunct professor at the University of Toronto. Additionally, as a senior research analyst, Oleksandr conducts research on risk management, financial modeling and optimization; develop, implement and test risk management, portfolio optimization and insurance models. In 2014 he received an IBM Outstanding Technical Achievement Award. And in 2012 – an Eminence and Excellence IBM Award to Quantitative Research Group Members of IBM Risk Analytics.
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