Universidad Politécnica de Madrid - BDI - Big Data for Decision Making


BDI - Big Data for Decision Making

La carrera BDI - Big Data for Decision Making es una de las Cursos de Informática e Información que dicta la Universidad Politécnica de Madrid

Duración

El título de BDI - Big Data for Decision Making es el título que otorga la Universidad Politécnica de Madrid para la carrera de Curso en Informática

WHO IT IS FOR?
Professionals of different areas of the company, executives and middle management, and for those with training in experimental sciences, needing to incorporate new methodologies from the big data and intelligent analysis of information in all areas of knowledge of the company.
BASICALLY, THE COURSE SEEKS:
  • Knowledge of the mechanisms of the information analysis to offer integrated solutions in the organization.
  • Provide a global vision in the treatment of internal and external data, as well as the efficient and effective management from the strategic point of view.
  • Gain valuable knowledge to increase and improve organization business processes.
  • Learn the concepts related to the transformation and strategic planning.
  • Provide tools to investigate the chain of the information of the Organization proposing changes to decision-making agile and productive.
PREVIOUS KNOWLEDGE
The mathematical, statistical and computer skills will be very useful, although they are not essential. Own notions of tools of big data and programming will provide more value, although they are not essential because they will be analyzed in the timing of the learning process.
REQUIREMENTS
Minimum English Level = B2 (First Certificate).

Provide tools to investigate the chain of the information of the Organization proposing changes to decision-making agile and productive.

  • Familiarize yourself with the concepts of data analysis and management of information in all areas of the company.
  • Use technologies and tools based on big data and data science.
  • Learn the concepts of acquisition and exploitation of corporate data.
  • Interpret the information for the intelligent corporate decision-making.
  • Do strategic marketing actions.
  • Analyze the different processes in pipeline data, common analysis techniques and the creation of strategic dashboards.




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