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.
Detailed information about this advanced course (including summary/description of the course, calendar, study plan, registration details, contacts, among other information) is available on the Advanced Courses website: Data Analysis
Registration of Advanced Course: Registration Form
Registrations are available until April 15, 2021.
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