Have you ever stopped to think about how much has changed in recent years?
YouTube released its first video in 2005 and today has over 1 billion users;
Facebook was founded in 2004 and today has more than 1,4 billion users who use the platform daily to connect, view news, share information, and even conduct business.
– Before, “drone” meant a military weapon. Today, even pizzerias use them for deliveries;
Bitcoin? It didn't even exist then. And this week it was declared a legal tender in El Salvador.
Ten years ago, there were over 6 billion human beings on Earth, and only 1 billion had access to the internet. Today, there are over 7 billion people, and 3 billion have internet access.
Lots of changes, right? And so fast! With that, a lot of demand has changed too.
Monitoring people's and market behavior and understanding what opportunities exist is an exercise that should be done by anyone who wants to take advantage of them.
Technological changes offer us immediate opportunities, and the intensive use of the internet and social networks provides us with data all the time and about everyone, which ends up generating countless pieces of information for decision-making and action planning.
And it's impossible to compare the amount of information we have today with what we had 10 years ago. We've reached a point where it's humanly impossible to process so much information! That's why Data Science has become increasingly important for understanding the complexity of the world we live in today.
In today's connected world, there's a huge generation of data and a constant race. Even more so because most people on the planet have a vast amount of data that tracks what they do, what they buy, where they work: their cell phones. So, In advertising and economics, for example, it's necessary to know what people like and what they buy.“explains the coordinator of the Data Science Study Group at IDP, Professor Claudiomar Matias Rolim Filho.
The professor also discusses the importance of knowing how to analyze data to make accurate decisions without guesswork. To achieve this, it is increasingly necessary for people to learn more about programming languages, such as R.
"You can't do any data work without a spreadsheet, and you need data to represent the data." You can use Excel if you want, but it's like the difference between digging a hole with a shovel and a backhoe: if you need to dig a hole and use a shovel, you can do it, but it takes you much longer. Excel is the shovel and programming languages are the excavator, because they do things in a much more elegant, fast, and precise way. Therefore, a person who knows how to operate a backhoe is far ahead of a person who uses a shovel,” says Claudiomar Filho.
When asked about the importance of programming languages, Claudiomar says that the trend is for us to have more and more data, and for people to know how to manipulate data more and more. Therefore, Over time, organizations will also demand more people with this knowledge. And those who master the data will find it easier to enter the market.
Therefore, Claudiomar organized a free mini-course (with certification!) on the topic for IDP's Open Class!
The mini-course “Learn Data Science without the fluff using RStudio.This free and open-source integrated development environment for R will teach you basic tools for manipulating Big Data and generating insights using this language.
And if you don't know anything about programming, that's no problem! The idea of the course is precisely to open your mind and teach you a little about this new market need.
Come on?
