Data Analyst vs Data Scientist, what is the difference?

Whenever we get into the field of the most in-demand professions in Data Science, two very common ones appear: Data Analyst vs Data Scientist, but what is the difference between them?

A Data Scientist is a professional who is in charge of collect, process y analysing large amounts of data to draw conclusions and make decisions based on them. They typically have a wide range of skills, including technical, statistical and business skills. In addition, data scientists are also responsible for designing and building data collection systems, as well as using machine learning techniques to develop models that can predict outcomes or detect patterns.

A Data Analyst, on the other hand, focuses primarily - as the name suggests - on data analysis. Their job is to collect, cleanse and process large amounts of data and then use statistical techniques and visualisations to interpreting y present the results in a clear and concise manner. Although Data Analysts may also use machine learning techniques, their focus is more on data analysis and interpretation of the results, rather than on developing complex predictive models.

In general, we could say that Data Scientists have a broader vision and a more comprehensive set of skills, while Data Analysts focus mainly on data analysis and interpretation of results.

Data Analyst vs Data Scientist, which one is more in demand?

It is difficult to say with certainty which of these positions is the most important. The most in-demand because it depends on many factors. The industry you work in, the size and location of the company, and the specific needs of the company in question. However, it is true that both Data Scientists and Data Analysts are highly sought-after professionals, as organisations of all sizes and in all sectors are looking for ways to making better use of data to make more informed decisions and improve their operations.

It is therefore expected that the demand for data professionals will continue to grow in the coming yearsThe use of data and data analytics is becoming increasingly important in all sectors. 

Salary of a Data Analyst vs Data Scientist in Spain

Providing an exact figure for the salary of a Data Analyst vs Data Scientist in Spain is not easy. The experience and professional skills of the candidate The salary may vary from one company to another, as well as from one position to another.

In general, both professionals are expected to have a above-average pay. According to some studies, the average annual salary for a Data Scientist in Spain can range between 50,000 and 70,000 euros per year, while the average annual salary for a Data Analyst can be between 40,000 and 60,000 euros per year.

These figures are only a guide, so if you need a more precise figure, it is best to research specific salaries for positions in your location and sector.

Data Science Training

If you are interested in becoming an expert Data Analyst or Data Scientist, there are several ways in which you can train and specialise to acquire the necessary skills:

• BootcampsIntensive trainings teach the concepts and skills for working with data. They are often a good option for those who already have a background in another area and wish to acquire new skills in a practical way. Currently, in IMMUNE Technology Institutewe have a Data Analytics Bootcamp with a duration of 18 weeks.
• MastersSpecialisation programmes in various areas of data science in which you will work with the most widely used and in-demand technologies. These courses can be taken to broaden or deepen knowledge already acquired, or to develop new professional skills. In this way, our academic programme also offers a Executive Master in Data Scienceas well as a Master in Data Science Online.
• Degree programmesMany educational institutions offer degree programmes in disciplines related to data analysis, such as data science, computer science and statistics. They provide a solid grounding in concepts and the necessary practical experience through projects and research work. 

Each of these options has its own characteristics, and your choice will depend on your individual situation and career goals.

If you are looking for technology training fill in the form for more information.