Would you like to enhance your curriculum with courses from one of the most respected educational institutions in Brazil? a Getulio Vargas Foundation FGV offers more than one hundred free courses in different fields of knowledge.
Free FGHV courses are short-term and completely online. Among these learning programmes, some focus on technology and data science.
To obtain a Certificate of Participation, a student must obtain a score equal to or greater than 7 (seven).
However, the programs are self-teaching, so that they can be implemented at the most appropriate time for each student’s reality. To get started, just register on the site.
10 Free FGV Courses in Information Technology and Data Science
the chapter “Install, customize, and understand basic R functionality” Displays the installation of R and its supporting software.
with a duration of 60 hours, data science It brings examples of real applications of the process of extracting and generating knowledge via data science, however, it still discusses the ethical aspects related to this new field of knowledge.
the chapter Introduction to data organization for multivariate analysis. Presents the importance of organizing data in multivariate analyses, and lists practices used in organizing and preparing data for analysis.
An introduction to complex networks: metrics of centrality. It addresses networks and how they exist in our daily lives, in a variety of situations.
the chapter Introduction to factor analysis and dataset techniques It introduces a method of multivariate analysis, called factor analysis, which allows determining the behavior of groups of variables or consumers.
More FGV courses
topics in machine learning Introduces the student to the field of machine learning, and introduces learning methods and related concepts.
Already the session “Fundamentals of IT Management” Provides a broad view of how IT operations affect company results.
the chapter The impact of information technology on business It introduces you to the concepts to understand how technology affects traditional models of supported competitiveness from differentiation, cost and focus points of view.
the chapter Internet overexposure It examines the problem and, through hypothetical and real cases, reveals some prevention practices and guidelines on how to act in circumstances where overexposure has already occurred.
Data for good Explains how to contribute to the use of information for the benefit of society. However, the course deals with possibilities and tools aimed at finding solutions to everyday problems.
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