Data scientists are in high demand in the technology industry. A Data Science bootcamp can be a great alternative to jump into the IT sector
A training field in data science or data science gives you the opportunity to specialize in data management, mathematical models, large data, machine, and many of the methodologies that are now increasing, in a time record.
Even though it requires a great commitment on your side, a data science training field will give you a high level of knowledge in a few months, especially in bootcamps 3 months full time, for example. B. those offered by the Bootcamps ID school. Of course, the result is worth it: take a job job for one of the most sought after the areas of the IT sector.
But what are the position of the data scientist? Why are these profiles so requested? And why, why, why, why a field of training in science that studies the data? We go to a deep ditch.
What is the science of data?
There is a faith that data science is a passenger fashion, but it is nothing of truth, which is an area that more and more companies and large companies face today. Includes data analysis or data analysis, but will continue much.After many years "take" data, which would include data from large companies, with the problem of exploitation of all this information, and is that currently the data has become the oil of our time.
It is incredible to think that, according to a recent study by the Gartner Council, almost 85% of data science projects that do not have specialists for this type of project types fail, and it is estimated that only 20% of the Business decisions are based on 2022 in analytical results.
This means that there is still a great percentage of projects in which the entry and the best of themselves publish, a good investment in the infrastructure and a good team offers great benefits and results.
From other technologies from now, since companies those have realized the potential of this area, very difficult to cover the great demand for these positions with qualified persons. At this point, people who leave the study of a field of training in data science face a world of possibilities.
What profiles exist in data science?
Theoretically, the data scientist could differentiate into two main profiles:
- Business data scientist
- Tech Data Scientist
Both can coexist in the same company or they can have only one of these roles (depending on the size of the project, organization, team, etc.).
But let's say we are talking about a large company, as is obvious, a large-scale project should not have a single data scientist, it should have a team, always taking into account the characteristics of the project, but, we would need, at least, the following roles:
- Business Analyst and Business Analyst. They have the ability to understand what the business problem is.
- Data analyst. You have the experience to extract valuable information from your data. Along with the previous ones, it plays a fundamental role by placing itself at an intermediate point between the business and the development area.
- Data engineer and data architect. They organize the infrastructure, in the cloud or on-premise and prepare the data at the service of the previous roles.
- Data scientist. You can coordinate, organize, plan the team according to a specific project, and at the same time, you can discover new data sources, enrich what you already have, etc.
What professional opportunities does a person have that is trained in bootcamp in data science?
As you may have seen from reading the article, the Data Scientist profile is booming. If we look at the data offered by the Fundación Telefónica employment map, the positions as data analyst or data scientist are within its top 20 in demand within Spain.
Taking into account that according to the forecasts of the European Union studies, 45% of job offers in Spain will be digital, we can assume that the demand for Data Scientists will continue to grow more and more in the coming years.
If we add to this the digitization of companies and the improvement of working conditions with options such as family conciliation, flexible hours, the possibility of teleworking, private health insurance, etc., we can say that it is a great bet for the future if you want to enter to a sector with wide scalability of job position and future salary.
How much does a student earn after completing a data science bootcamp?
After completing their 450h training in the Data Science bootcamp, the student enters the labor market with a Junior profile but perfectly qualified as a technology professional.Salaries may vary, but we can speak of an average of € 20,000 gross per year in cases where you do not have previous experience in the area where you are hired.
Why bootcamp in data science?
After seeing what the profile of a Data Scientist is like and the possible results of a bootcamp in Data Science, we can say the following:- Data science bootcamps are intensive trainings that allow you to enter the job market in a new profession in a matter of months. In other words, this is a career change in record time.
- The Data Scientist profile is a specialized profile that can find a place in any type of project, in fact, we use data for practically everything.
- Data scientists are in high demand in the technology industry. In addition, professional growth is expected in the future along with very exciting job benefits.
- A Data Science bootcamp can be a great alternative to jump into the IT sector and go out with a Junior profile directly to the job market.
- The salary of a student in a Data Science bootcamp is, on average, 20,000 euros if he has no previous experience in the area in which he is employed.
As you can see, data science bootcamps are a great idea if you are thinking of boosting your career or even if you are thinking of a radical change in the sector. Specialized schools such as ID Bootcamps, facilitate entry into the digital world with Bootcamps in programming. Every three months they open their call to train the data scientists of the future.
These bootcamps are characterized by a completely practical approach, since their teachers are active professionals, they are not dedicated exclusively to teaching. Some work in online marketing agencies, technology consultancies, startups or large companies in various sectors.
