During the course, students will become familiar with the basics of using machine learning in various fields of economics and management, as well as learn how to analyze data using modern machine learning methods and interpret the results of calculations. The acquired skills will allow students to work confidently in a modern statistical and software environment.
Big Data Project Management
The purpose of this course is to master the principles of effective project planning and control, including needs analysis, task separation, workflow planning, resource allocation, risk management, tracking, and performance evaluation. Students will learn the basic functions of the project manager, learn the difference between the management of ordinary projects and big data projects, and learn management tools (RedMine, Jira, Agile, etc.).
The course covers marketing principles and aims to introduce fundamental ideas and concepts applicable to the study of digital marketing. Students will learn how to identify, track and analyze advertising mechanics, as well as conduct marketing campaigns in social networks. Students will also learn how to measure and evaluate the results and effectiveness of campaigns. The course is implemented in conjunction with Segmento, a company that has created a platform that uses artificial intelligence to optimize digital advertising targeting and develop a real-time digital strategy.
The course aims to develop a critical understanding of how to turn big data into business and social value by integrating it into an organizational business model. The purpose of the course is to equip students with practical approaches and tools to develop, implement, and evaluate how organizations can develop digital transformation strategies and innovate business models using large data sets. In general, this module gives a clear idea of how big data management can increase a company's potential for creating added value.