Rey Miró, Damią
Anyone who wants to acquire a deeper understanding of data analysis and learn about the latest implementations in the professional field.
The course is also open to students with no prior university education, who will acquire the same knowledge and skills and receive a specific qualification for their learner group. Information on the access requirements and other conditions can be obtained from the course directors.
- To train professionals capable of analysing large volumes of data:
- Prepare students to manage, analyse and interpret large data sets in different business and financial contexts, using advanced programming and statistical analysis tools.
- Development of programming skills: Teach the use of programming languages such as R and Python, essential for data manipulation and statistical analysis in data science.
- Training in the use of Artificial Intelligence technologies: Integrate knowledge of machine learning and natural language processing for the development of predictive models and the extraction of value from data sets.
- Practical application of advanced financial analytics: To equip students with the necessary skills to apply statistical and data mining methods to financial market analysis, investment optimization, and risk management.
- Promote critical thinking and problem-solving: To promote the use of data analysis to solve complex problems in the business and financial environment, through the use of practical and real cases.
- Preparation for professional certifications: Offer students the opportunity to prepare for industry-recognized certifications, such as the Chartered Market Technician (CMT).