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El data scientist It is one of the most Defendants in Spain. Thousands of companies are looking for these profiles capable of analyzing large amounts of data, extracting valuable information, reaching the right conclusions and making the best decisions. The problem? La talent shortage and the lack of schools that offer a quality training.
If you want to become a data scientist but you don't know What steps to follow to achieve this, don't worry. Here we bring you the Guide to becoming a Data Scientist from scratch in 2023. In this one we will cover everything you need to learn, what your work will consist of, possible questions that may arise, etc.
1. What skills do you need to become a Data Scientist?
There are many skills that a good Data Scientist must master. Data scientists live an ideal time, are better paid and are highly valued because they master a wide variety of skills to carry out all kinds of projects and to support decision-making of all kinds. Las most important technical skills are Machine Learning, Deep Learning, processing large data sets. Data Wrangling, Data Visualization, Mathematics, Statistics and Programming.
As for the latter, many wonder what programming language you need to learn to work as a data scientist. To begin with, SQL is a good gateway, easy to understand, highly standardized, facilitating development and accelerating the programming process. But without a doubt, the Python is the most used in the entire industry which, although somewhat more complex, is not too difficult to learn, and offers very good power and possibilities for data science.
If you have qualms about the skills you need to improve, or where you might be a better fit, try Talent Factory. Answering a simple Quiz, our Smart tool is able to align your professional profile with the real demand From the market to make you personalized recommendations and help you find your way: https://www.mbitschool.com/talent-factory
2. What does the Data Scientist job consist of?
Being a Data Scientist is closely related to technology, databases, analysis and visualization of key information. Your main tasks will be to research, dive between data for Find a pattern, develop a algorithm or a code to find a solution effective for a specific problem, suggest rulings and propose ideas based on the result of a data analysis. In addition, there are many positions compatible with the remote work, if that's what you're looking for.
It is also very important that teamwork. You should be able to explain to managers and non-technical profiles the conclusions of a study, or the reasons why a decision has to be made in the company, as well as collaborate with other areas to obtain the data you need, understand it, and know exactly what you want to extract from it.
3. What studies do you need to become a Data Scientist?
A few years ago, the way to enter the world of data science was through degrees such as computer engineering or similar, and then study abroad or try to be self-taught. Luckily, today, there are already schools that offer Specific master's degrees in Data Science. If the training is of quality and is up to date with market advances and technology, it is undoubtedly the best way to access these jobs.
If you are interested in Train yourself in the world of data, we recommend that you visit our website, where you will find a selection of courses designed by experts in the field with the latest news and market trends: https://www.mbitschool.com/itinerarios
Nowadays, what companies look at most when it comes to hiring someone, regardless of the title, is what they know how to do. A good tip is to try to do practices or work with projects that you can include in your Portfolio, so they can see your skills deployed in a real case.
4. In which sectors can I get employment?
The general tendency is to think that opportunities are purely technological companies. However, in almost every sector there is a need for talent, because it is a specialty that can be taken to a multitude of branches and applications. Some of the areas with the most demand are marketing, healthcare, finance, education, agriculture, transport, politics, sports, research, administration and digital product development.
The evolution in recent years has been vertiginous, with new tools, applications, methods and solutions constantly emerging that enable myriad of uses and they provide benefits to all types of companies. That is why demand continues to grow. Companies need good Data Scientists to continue growing and, given the very high demand and difficulty of finding profiles, wages of these jobs they have a very high average.
5. Will data science continue to exist in the coming years?
Absolutely yes. The role may evolve, the tools, skills, knowledge or technologies used may change, but the role of the Data Scientist will continue to be necessary, making sense of data, building models, and finding solutions to complex problems.
At MBIT School we have designed the Master in Data Science to prepare you 100% to perform your role as a data scientist. We are constantly analyzing the market to update content and methodology to what Companies demand, and thanks to our teachers, the Industry Insiders, we offer practice and knowledge totally oriented to the professional world of data. Find out here: https://www.mbitschool.com/cursos/master-data-science
El data scientist It is one of the most Defendants in Spain. Thousands of companies are looking for these profiles capable of analyzing large amounts of data, extracting valuable information, reaching the right conclusions and making the best decisions. The problem? La talent shortage and the lack of schools that offer a quality training.
If you want to become a data scientist but you don't know What steps to follow to achieve this, don't worry. Here we bring you the Guide to becoming a Data Scientist from scratch in 2023. In this one we will cover everything you need to learn, what your work will consist of, possible questions that may arise, etc.
1. What skills do you need to become a Data Scientist?
There are many skills that a good Data Scientist must master. Data scientists live an ideal time, are better paid and are highly valued because they master a wide variety of skills to carry out all kinds of projects and to support decision-making of all kinds. Las most important technical skills are Machine Learning, Deep Learning, processing large data sets. Data Wrangling, Data Visualization, Mathematics, Statistics and Programming.
As for the latter, many wonder what programming language you need to learn to work as a data scientist. To begin with, SQL is a good gateway, easy to understand, highly standardized, facilitating development and accelerating the programming process. But without a doubt, the Python is the most used in the entire industry which, although somewhat more complex, is not too difficult to learn, and offers very good power and possibilities for data science.
If you have qualms about the skills you need to improve, or where you might be a better fit, try Talent Factory. Answering a simple Quiz, our Smart tool is able to align your professional profile with the real demand From the market to make you personalized recommendations and help you find your way: https://www.mbitschool.com/talent-factory
2. What does the Data Scientist job consist of?
Being a Data Scientist is closely related to technology, databases, analysis and visualization of key information. Your main tasks will be to research, dive between data for Find a pattern, develop a algorithm or a code to find a solution effective for a specific problem, suggest rulings and propose ideas based on the result of a data analysis. In addition, there are many positions compatible with the remote work, if that's what you're looking for.
It is also very important that teamwork. You should be able to explain to managers and non-technical profiles the conclusions of a study, or the reasons why a decision has to be made in the company, as well as collaborate with other areas to obtain the data you need, understand it, and know exactly what you want to extract from it.
3. What studies do you need to become a Data Scientist?
A few years ago, the way to enter the world of data science was through degrees such as computer engineering or similar, and then study abroad or try to be self-taught. Luckily, today, there are already schools that offer Specific master's degrees in Data Science. If the training is of quality and is up to date with market advances and technology, it is undoubtedly the best way to access these jobs.
If you are interested in Train yourself in the world of data, we recommend that you visit our website, where you will find a selection of courses designed by experts in the field with the latest news and market trends: https://www.mbitschool.com/itinerarios
Nowadays, what companies look at most when it comes to hiring someone, regardless of the title, is what they know how to do. A good tip is to try to do practices or work with projects that you can include in your Portfolio, so they can see your skills deployed in a real case.
4. In which sectors can I get employment?
The general tendency is to think that opportunities are purely technological companies. However, in almost every sector there is a need for talent, because it is a specialty that can be taken to a multitude of branches and applications. Some of the areas with the most demand are marketing, healthcare, finance, education, agriculture, transport, politics, sports, research, administration and digital product development.
The evolution in recent years has been vertiginous, with new tools, applications, methods and solutions constantly emerging that enable myriad of uses and they provide benefits to all types of companies. That is why demand continues to grow. Companies need good Data Scientists to continue growing and, given the very high demand and difficulty of finding profiles, wages of these jobs they have a very high average.
5. Will data science continue to exist in the coming years?
Absolutely yes. The role may evolve, the tools, skills, knowledge or technologies used may change, but the role of the Data Scientist will continue to be necessary, making sense of data, building models, and finding solutions to complex problems.
At MBIT School we have designed the Master in Data Science to prepare you 100% to perform your role as a data scientist. We are constantly analyzing the market to update content and methodology to what Companies demand, and thanks to our teachers, the Industry Insiders, we offer practice and knowledge totally oriented to the professional world of data. Find out here: https://www.mbitschool.com/cursos/master-data-science
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