What to study to be a Data Scientist?

The Degree in Artificial Intelligence and Data Engineering is one of the 10 careers with the greatest job future in 2022. According to a report by IndesIA, the industry will need more than 90,000 experts in data and artificial intelligence over the next three years. Working as a Data Scientist requires having a knowledge base in related fields such as mathematics, engineering, statistics or programming.

Specialization courses and bootcamps

A specialized course in data science or a bootcamp it can be an ideal way to acquire or develop the fundamentals of data science. It is about collecting, storing, analyzing, managing, modeling, visualizing and presenting data using the necessary data science tools, including specialized applications such as Tableau and PowerBI visualization programs, among others.

Among the most basic tools and essential fundamentals that you must learn to be a Data Scientist are: Python, SQL and Excel. These skills will be essential for working with and organizing raw data. Also, familiarizing yourself with Tableau, a tool that you will use frequently to create visualizations, will also be a plus if you want to dedicate yourself to this profession.

knowledge and skills

By the end of your training, you should be able to use Python and R and build models that analyze behavior and do predictive analytics. Once you’ve learned the basics of the programming languages ​​and digital tools used by data scientists, you can start putting them into practice by taking on projects and using Excel and SQL to manage and query databases, Python and R to analyze data. using statistical methods; build models that analyze behavior and produce new insights and perform statistical analysis or prediction techniques.

After learning the basic skills, it is good to specialize in different roles within this field: data engineers, scientists, citizen data scientist or machine learning architects, among others, when your first job opportunity arrives. The next stage of the process will be to research which company or market sector you would like to work for.

You can investigate what projects or topics the company where you would like to start your career is working on and with this information you will be more prepared and you will have more possibilities of being taken into account when sending your CV. Also prepare a cover letter where you highlight your strengths, goals or what you would like to do in the future.

You can also do a deep search of the cities or countries with the highest demand for data scientists. According to the projections of Microsoft and LinkedInBy 2025, it is expected that there will be more than 10 million open vacancies in technology and data science in Latin America.

Source: www.universia.net