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a Getulio Vargas Foundation (FGV) offers over a hundred free short courses, in the most diverse fields of knowledge, on its online platform. Among these learning programs, some focus on technology and data science.
When a score equal to or greater than 7 (seven) is obtained, the system creates a statement allowing proof of participation in the course. Programs are self-taught, so that they can be implemented at the most appropriate time for each student’s reality.
To get started, all you need to do is register on the site. Below, see the free courses:
Credit: StartupStock Images/PixabayFree FGV Data Science and Technology Courses
the chapter “Install, customize, and understand core R functions” Displays the installation of R and its supporting software. The course also addresses their distinguishing features, in relation to point-and-click programs, characteristic of the Microsoft Windows operating system.
for 60 hours “Data Science” It brings examples of real applications of knowledge extraction and generation via data science, as well as discussing ethical aspects related to this new field of knowledge.
the chapter Introduction to organizing data for multivariate analysis. It presents the importance of organizing data in multivariate analyzes and lists the practices used in organizing and preparing data for analysis, with the goal of extracting as much information as possible about the available data and ensuring that analyzes are performed with robustness and productivity.
Credit: ThisIsEngineering/PexelsFGV has a variety of free courses in many areas of activity due to the partnership with OEG
Introduction to complex networks: metrics for centralization. Networks address how they exist in our daily lives, in a variety of situations. In addition, the basic concepts of networks or graphs are introduced, as well as their definition and methods of representation, measurements made at vertices or edges and, finally, classic algorithms that allow for basic analysis of graphs.
the chapter Introduction to factor and data set analysis techniques. It introduces a method of multivariate analysis, called factor analysis, which allows determining the behavior of groups of variables or consumers. The course also covers combined analysis, a tool that allows to predict the reaction of consumers to certain characteristics of products and services, which makes them of great importance in the field of management.
Topics in machine learning Introduces the student to the field of machine learning, introduces related learning methods and concepts. In the course, the student will develop a broad view of machine learning, knowledge of SVM (Support Vector Machines) and an understanding of unsupervised learning methods.
With the current demand for full-time interconnection, the Information Technology (IT) area is gaining increasing importance in the corporate world. Fundamentals of IT management It presents and discusses the role of technology in business, and provides a broad view of how IT operations affect company results.
Credit: ThisIsEngineering/PexelsFree FGV Data Science and Technology Courses
The field of Information Technology (IT) has gained increasing importance in the corporate world with the current demand for full-time interconnectedness. the chapter The impact of information technology on business It introduces you to the concepts for understanding how technology affects traditional models of competitiveness advocated from the perspectives of differentiation, cost and focus, developed by Michael Porter.
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 in which overexposure actually occurred.
“Data for Good” Explains how to contribute to the use of information for the benefit of society. The course deals with capabilities and tools aimed at seeking solutions to everyday problems.
FGV has a variety of free courses in different fields of activity due to the partnership with OEG – Open Education Global. As a member since 2008, the institution was the first Brazilian to join the consortium of educational institutions from countries offering free online content and educational materials.
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