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FGV Is Offering Various Openings in Free Online and Distance Learning Courses. Among the Offered Courses, Several Are Focused on the Information Technology and Data Science Sector
The Getulio Vargas Foundation (FGV), considering that free courses related to the technology sector are increasingly gaining traction in the market, is offering more than 100 openings in free short-term online and distance learning courses focused on technology and data science. It is also worth mentioning that, in addition to IT courses, the foundation also provides several others on its website.
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Free Online and Distance Learning Courses in Technology and Data Science
With a duration of 60 hours, the course “Data Science” provides examples of real uses of the process of generating and extracting knowledge through data science, also discussing ethical aspects related to this new field of knowledge.
With the current need for constant interconnectivity, the Information Technology (IT) sector is gaining more and more importance in the corporate world, where it is often practically impossible to carry out activities without the aid of technology.
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A Brazilian city decided to purchase a piece of the Atlantic Forest with more than 153,000 square meters, and owners of preserved areas will be able to submit proposals to transform the forest into a conservation unit.
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Brazilian siblings aged 11 and 7 read 240 books in just one year and caught attention on social media: while many children spend hours on screens, they turned their family’s routine into an example of reading, discipline, and curiosity.
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The legendary oak that, according to the story, hid Robin Hood from the Sheriff of Nottingham, died at the impressive age of 1,200 years in England, and the first chilling sign of its end was that no leaves sprouted on the tree this spring.
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While the world looks at forests, the UN warns that the Earth is also threatened by the silent degradation of natural grasslands and savannas, ecosystems that cover half of the planet, support billions of people, and can exacerbate water, food, and climate crises.
To delve deeper into the subject, the distance learning course “Fundamentals of IT Management” presents and discusses the role of technology in business, providing a broad view of how IT processes influence a company’s results.
The FGV distance learning course “Superexposure on the Internet” examines the issue and, through hypothetical and real cases, exposes some prevention practices and guidelines on how to act in situations where overexposure has already occurred.
How to Enroll in FGV’s Free Online and Distance Learning Courses?
Those interested in enrolling in FGV’s opportunities for technology and data science should access the institution’s website or simply select one of the opportunities highlighted in red above.
On the website, carefully read all available information and click on “Sign Up”. It will be necessary to create an account on FGV’s website and fill in details such as: Full Name, Email, CPF or Passport, Cell Phone, Date of Birth, among others.
Upon achieving a score of 7 or higher in the free online and distance learning technology and data science courses, it is possible to obtain a certificate confirming participation in the selected opportunity. Additionally, since it is a flexible and self-instructional opportunity, meaning there is no instructor or teacher, the courses can be taken at the most suitable times for each student.
FGV Offers More Than 200 Opportunities in Other Areas for Free Distance Learning Courses
In addition to free online and distance learning courses for the technology and data science sector, FGV also offers other courses. Check them out:
- The course “Installing, Customizing and Understanding the Basic Functions of R” presents the installation of R and its software. It also addresses its aspects that, compared to point-and-click programs, have peculiarities.
- The course on Introduction to Data Organization for Multivariate Analysis shows the essentiality of data organization in multivariate analyses and relates the practices used in data preparation and organization for analysis, aiming to extract the maximum information from the provided data and ensure that analyses are conducted in an assertive and productive manner.
Check the full list of courses at this link.
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