¿Qué es Data Science?
July 26, 2024
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Data Science. Hace apenas 10 años nadie hablaba de este tema y hoy en día es una de las áreas en las que más crece la demanda de perfiles profesionales expertos.
Today, companies are immersed in a profound and accelerating transformation process. The digitalization of the economy has led to the replacement of numerous jobs with others requiring technological skills that most people do not yet possess, a trend that shows no signs of abating. In this context, traditional education methods have become obsolete, unable to meet the needs of businesses. Consequently, new training approaches, such as our Data Analytics course, have emerged to help bridge this gap and provide individuals and companies with the required skills.
The idea of a coding bootcamp is still relatively new. The first ones appeared spontaneously around 2013 in coworking spaces in New York, San Francisco and Boston. However, coding bootcamps can now be found in almost every major city in the world. Ubiqum started in Barcelona in 2016 as the first bootcamp in Europe to offer a Data Analytics program. Therefore, our first cohort already has more than eight years of professional experience!
In this article we are going to focus on how our Data Analytics course works and the opportunities it opens up for you.
When we started Ubiqum in 2016, Data Science was a very new concept and today there is still some confusion. So let’s start by clarifying which professional roles have a role in the field of Data Science. We can distinguish three necessary, differentiated and complementary roles:
A Data Engineer is a professional responsible for designing, building and maintaining the architecture and infrastructure necessary to support and manage large amounts of data. They work with a variety of data sources, such as transactional databases, datalinks, datamarts and datawarehouses, to ensure that data is collected, stored and processed efficiently, securely and reliably.
Key responsibilities of a data engineer include:
Data engineers possess strong skills in programming languages such as Python, SQL or R, along with experience using big data technologies such as Hadoop, Spark, Kafka and various database management systems. They also need a solid understanding of cloud platforms where data can be stored and processed, such as AWS, Azure or Google Cloud Platform.
Secondly, we need people who develop Machine Learning algorithms. A Machine Learning Engineer is a professional specialized in designing, building and implementing machine learning models and systems. They have a solid understanding of software engineering, mathematical algorithms, data structures and programming languages, which allows them to develop complex and sophisticated software programs that we call Machine Learning Algorithms.
Finally we have the people who analyze and leverage data to improve the business. This is the profile that we develop at Ubiqum with the students who participate in our intensive Data Analytics & Machine Learning program. We like to say that, within 5 to 10 years, any executive, in any company, should have developed these skills to be able to access the Senior Management of the company.
Through these three profiles we can conclude that Data Engineering, Machine Learning and Business Data Analytics, is the set of activities performed by professionals in a discipline we call Data Science, i.e., they store and organize large databases and develop complex computer programs to process these data. Finally, these data are modeled and analyzed to obtain results that help in decision making and business improvement.
Since 2016, when we started our first course, we have experienced a remarkable evolution. We went from a conventional bootcamp format with groups of 15 to 20 people advancing together during the course, to a more flexible and personalized model. Our goal is to adjust to the time availability of our students, providing a personalized mentoring service.
We offer a methodology based on real, highly structured projects, where students face the same tasks they will encounter in the working world once they start their new digital career. All this, backed by the constant and continuous support of a personal mentor, in addition to the flexible timetable we provide.
WE MAINTAIN
WE ADD
WE ELIMINATE
We hope this brief information has helped you clarify what our bootcamp is all about and what you can expect from it. We want to help you become a Data Analyst.
At Ubiqum we offer three possible paths for different student profiles:
All our students acquire advanced skills in Python, SQL, modeling and commonly used machine learning algorithms, regardless of the program chosen.
For more information, please fill out the attached form and one of our career advisors will contact you, you will receive the complete syllabus and will provide you with the information you need.
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A technical college specialising in programming, data analysis and artificial intelligence. At UBIQUM, we train tech professionals using a practical approach, equipping them with the real-world skills they need to enter the digital job market.