CDO (Chief Data Officer)
Miscellaneous / / December 09, 2023
You can:
- identify opportunities for using Big Data in the activities of organizations,
- competently approach the formation of a team for a Big Data project, managing a data processing and analysis group,
- evaluate the effectiveness of the team’s work on the Big Data project, forming a business statement of big data analysis tasks, making choices methods of big data analysis, application of basic project management approaches for implementing projects in the field of working with data and much more other.
Benefits of studying under the program
- Availability of a discount system for corporate customers.
- Competitive advantage in the labor market with a certificate from REU. G.V. Plekhanov, the leading economic university in Russia.
- Networking with other business practitioners and expanding your circle of business acquaintances and opportunities.
- A flexible lesson schedule allows you to study even taking into account business trips and busy work.
How to proceed
Requirements for students
Persons who have or are receiving higher/secondary vocational education are allowed to complete the program
Documents for admission
- A copy of a diploma of higher or secondary vocational education with an attachment or a certificate from the place of study (for students)
- Passport: 1 spread (photo), 2 spread (registration)
- SNILS
Correspondence education using distance learning technologies. The program teaches you to identify opportunities for using Big Data in the activities of organizations, forming a team for a Big Data project, and managing group of data processing and analysis, evaluate the effectiveness of the team’s work on the Big Data project, forming a business statement of tasks for analyzing large data, selecting big data analysis methods, applying basic project management approaches to implement projects in the field of working with data.
7
coursesDoctor of Economics, Associate Professor, Deputy Director of the Digital Economy Competence Center of the Russian Economic University. G.V. Plekhanov, professor of the Department of Information Systems Management and Programming.
Managing an organization in the digital economy (6 hours)
Fundamentals of management decision making (14 hours)
Methods of working with data (14 hours)
Machine learning and artificial intelligence (18 hours)
Features of big data analysis (16 hours)