What does a data scientist do?
Posted: Tue Jan 21, 2025 9:50 am
Data scientists stand out as one of the most important job roles for the present and future. A study report by Deloite and Infoempleo includes them among the professions that will be key in the medium and long term. Regarding the activity they carry out, what does a data scientist do , the aforementioned consultancy highlights three aspects:
Obtain data from different sources and use all types of documentary resources.
Clean up the information obtained to set aside what is not considered useful according to the company's purpose.
Use specific programs for analysis and preparation of statistics , so that reports of conclusions, descriptions and possible predictions can be prepared.
Relationship between Data Science and Artificial Intelligence
When addressing this subject, it is necessary to refer to the iran whatsapp data relationship between data science and artificial intelligence (AI) . What is the link? How do they influence each other when it comes to a data scientist 's work? Several aspects define and clarify this topic and it is important that if you are thinking of training as a data scientist you are aware of them:
They share common points. They complement each other but are not equivalent.
Data science collects , analyzes and translates existing information and companies/organizations take advantage of the conclusions to improve internal processes, products, services, etc.
Artificial intelligence is a technology that allows machines and computers to replicate human thoughts and processes, with a very valuable prediction component for companies.
And how do they relate to each other? AI uses data to generate information and answers for its algorithms. Data science , so to speak, provides these resources to artificial intelligence. In the same way, artificial intelligence puts techniques such as machine learning at the service of data science.
How to train to work as a data scientist
People currently working in this field, as well as those who want to develop as data science professionals , have to take into account several aspects. The first is that today there is no single training path to access these job offers . On the other hand, they are usually graduates with university degrees related to mathematics and computer science. This is the basis.
To advance in this field, it is best to take specific postgraduate courses or master's degrees related to data analytics , such as the ones we suggest:
The Master in Big Data Analytics is the one that focuses most on training these qualified profiles , which tries to teach the main programming languages and the specific technologies that make up data architecture . Along with this technical knowledge, practical cases must be alternated and it is worth noting that strategies are included so that students develop other skills that will be necessary to boost their professional careers .
This is the case of the proposal from EAE Business School Barcelona, which in its Master in Big Data Analytics manages to integrate technological knowledge and soft skills such as team leadership and the ability to manage staff.
More global and broad is the Master in Business Analytics and Data Strategy at our center. It offers students a program for data scientists that is “ adapted to technological development ” and manages to provide the student with “ a global and strategic vision of the implementation of analytics ” in companies. It combines a period of virtual learning with a second residential stage at the EAE Barcelona facilities.
Data science is covered in parallel in other specialization programs . The Master in Management STEM has a Business Analytics & Data Science module so that graduates can delve deeper into this emerging profession and learn how data analytics contributes to the business intelligence of any company, regardless of its sector of activity.
Obtain data from different sources and use all types of documentary resources.
Clean up the information obtained to set aside what is not considered useful according to the company's purpose.
Use specific programs for analysis and preparation of statistics , so that reports of conclusions, descriptions and possible predictions can be prepared.
Relationship between Data Science and Artificial Intelligence
When addressing this subject, it is necessary to refer to the iran whatsapp data relationship between data science and artificial intelligence (AI) . What is the link? How do they influence each other when it comes to a data scientist 's work? Several aspects define and clarify this topic and it is important that if you are thinking of training as a data scientist you are aware of them:
They share common points. They complement each other but are not equivalent.
Data science collects , analyzes and translates existing information and companies/organizations take advantage of the conclusions to improve internal processes, products, services, etc.
Artificial intelligence is a technology that allows machines and computers to replicate human thoughts and processes, with a very valuable prediction component for companies.
And how do they relate to each other? AI uses data to generate information and answers for its algorithms. Data science , so to speak, provides these resources to artificial intelligence. In the same way, artificial intelligence puts techniques such as machine learning at the service of data science.
How to train to work as a data scientist
People currently working in this field, as well as those who want to develop as data science professionals , have to take into account several aspects. The first is that today there is no single training path to access these job offers . On the other hand, they are usually graduates with university degrees related to mathematics and computer science. This is the basis.
To advance in this field, it is best to take specific postgraduate courses or master's degrees related to data analytics , such as the ones we suggest:
The Master in Big Data Analytics is the one that focuses most on training these qualified profiles , which tries to teach the main programming languages and the specific technologies that make up data architecture . Along with this technical knowledge, practical cases must be alternated and it is worth noting that strategies are included so that students develop other skills that will be necessary to boost their professional careers .
This is the case of the proposal from EAE Business School Barcelona, which in its Master in Big Data Analytics manages to integrate technological knowledge and soft skills such as team leadership and the ability to manage staff.
More global and broad is the Master in Business Analytics and Data Strategy at our center. It offers students a program for data scientists that is “ adapted to technological development ” and manages to provide the student with “ a global and strategic vision of the implementation of analytics ” in companies. It combines a period of virtual learning with a second residential stage at the EAE Barcelona facilities.
Data science is covered in parallel in other specialization programs . The Master in Management STEM has a Business Analytics & Data Science module so that graduates can delve deeper into this emerging profession and learn how data analytics contributes to the business intelligence of any company, regardless of its sector of activity.