Data science has become a central component in most analytical and decision-making processes.

This week long bootcamp presents the foundations of data science, providing a broad and solid introduction to this important field.
Using a hands-on methodology, students will learn in practice how to use mathematical and computational tools to solve real-world problems involving massive data. In particular, students will learn how data science works in practice, and how to face issues in data cleaning, visualization, prediction, and pattern recognition.

 

Event Coordinators

  • Claudio Silva - New York University, NYU, USA
  •  Luis Gustavo Nonato - Universidade de São Paulo, USP, Brasil and New York University, NYU, USA
  • Public

    • Introduction to Data Science is for anyone interested in improving their skills to use to tackle problems from industry, government, financial market, and academy. A familiarity with basic statistics and linear algebra is desirable, but not mandatory. (atualizado em 22/05/2018)

  • Data Science

    • Theoretical lectures are followed by practical sessions (Lab classes) and hands-on activities using real data. Students are strongly encouraged to bring their laptops to the classes in order to put into practice the learned content. The classes and practical sessions will make use of Python 3. Students are supposed to have basic notions of python programming. If you are interested in attend the bootcamp but are not familiar with Python, you can find a short tutorial with exercises an solutions this link. Having basic Python skills is important to properly follow the classes and practical activities.

  • Values

      • R$ 4,000.00 external public
      • R$ 1,000.00 student FGV 
      • R$ 2,000.00 Professional FGV
      • R$ 2,000.00 Ex-FGV (graduate of courses FGV)

      :: Form of payment
      2X without interest or on view at billet

       

      Fellowships

      :: Requirements
      Students in the areas of exact sciences
      Enrolled students from the third grade
      Send documents for openschool_economia@fgv.br
      Scholarship funded by FIES
      Transcript

More information

  • Speakers Short Biography

  • Contents

  • Schedule

  • Contact

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