Data Analysis

The course aims at a set of objectives such as: sensitize participants about the importance of extracting knowledge from unstructured data, especially when the data volume is very large; provide knowledge of the main data analysis techniques using statistical software; formulate and solve problems, interpret results based on statistical tools, related to: forecasting models, reducing data complexity, classifying and grouping objects or variables; understand the concept of machine learning and select the most appropriate models for each problem and develop logical and deductive reasoning; increase critical spirit, develop analytical and creative ability.

The classes will be eminently theoretical-practical, privileging the exchange of ideas and discussion of the themes. A dataset will be used to work with the different data analysis techniques.

The evaluation will be carried out through the presentation of a technical report based on a dataset, which will address a number of challenges.

Registration

Please fill in the registration form. After submitting the registration,  you will receive a first email with confirmation (within a 3-day period).

Accommodation

A list of possible hotels will be sent to all confirmed participants.