The world has changed in the last 10 years and so have its demands. Monitoring market behavior and understanding its opportunities is an exercise done by those who are attentive. Do you know what the professions of the future are? The Data Science area has been on this list for some time and today, the professionals with this specialization, earn well and meets a rapidly expanding demand.
After training, the professional can extract useful knowledge from data. This information and analysis is worth gold for public and private organizations, which causes the demand for this professional in the job market to increase every day.
Continue reading and learn more about the Data Science specialization.
What is Data Science?
In the second world war, the Hungarian mathematician Abraham Wald was given the challenge of shielding British fighter planes and putting them in the air. The material used at the time for armor was very heavy, which made it impossible for aircraft to take off. The solution then was to protect only the attacked parts of the aircraft.
To find out which parts should be armored, the military and a statistical research group, of which Wald was a part, analyzed the planes returning from combat, mapping the parts with bullet marks, thus, they identified the weak points that should be protected with the armor. However, the analytical capacity of the Hungarian mathematician went further.
Wald identified that the shots on the wings and sides were marks present on the surviving planes. The fact that these parts have marks of fire does not prove if they were the parts most attractive to the attack, since the planes hit in the engines and supply system never returned to be analyzed.
Abraham Wald then analyzed the areas that were not affected and decided to arm them, since the planes that were shot in those places never returned.
Therefore, WWII mathematician was using Data Science to improve war strategies.
The professional with a background in Data Science or Data Science , uses the data to discover much more than they show. And with the data volume generated today, it is possible to create models to predict future situations.
What is the importance and what is Data Science for?
Data Science. It is a technical solution for data analysis, which allows you to make informed decisions, plan market actions, and if necessary, develop products and services for your customers.
Why is a Data Scientist so important to companies?
The Data Scientist is able to predict trends and market behaviors, this enables the development of the best strategy for the organization.
The professional specialized in data science, whether through undergraduate or graduate courses, is highly sought after by managers and others responsible for the performance of organizations, due to their analytical capacity to identify market opportunities, operational failures and operating risks.
He is able to interpret and make data communication with each other, making multiple information able to make products profitable for a company.
The data scientist works with big data , must know the techniques of business intelligence and artificial intelligence, have knowledge in programming, statistics and text analysis.
What does a data scientist do?
A professional trained in Data Science is qualified and knows how to use multidisciplinary theories and techniques to analyze structured and unstructured data generated by business, processes and the final consumer.
Now, consider that every economic activity generates data, and they can bring the solution to bottlenecks, public behavior, in addition to pointing out ways of success and showing new possibilities of Marketplace.
In the hands of a professional specialized in Data Science, it is possible to process, read, analyze this data and extract information that may be essential for the survival of companies.
Where can a data scientist work?
There is no mystery: companies that do not keep up with market trends and technological advances go into bankruptcy. The need to maintain business prosperity makes the data science professional an essential part of the organizational environment.
After completing a degree in Data Science, job openings can be found in multinationals, traditional organizations, startups, in the technology and business sector of any segment.
It is worth mentioning that the technology area allows the professional to work in Home Office , work format that has become increasingly most popular, where location and times are flexible. That is, you can live in a city in the interior of Brazil and be hired by a company in Canada.
What is the salary of a data scientist?
That profession related to the technology area is on the rise, you already know. However, there is currently a specific career among them that has been consolidating in the job market: the data scientist.
The average salary of a professional with a degree in Data Science, according to the Salaries and vacancies portal is $ 6,751.77, which can reach $ 12,000.00, according to vacancies found at the senior level. The values vary according to the company size, position and experience of the data scientist.
What does it take to be a data scientist?
Now that we know the need for professionals in the job market, their importance in organizations and the national average salary. The time has come to find out what technical knowledge is most in demand for professionals with a background in Data Science.
Analytical ability
To solve the inherent problems of the function, it is necessary to understand how to structure this information to apply logical methods . An analytical look allows the data to be read more accurately and rationally.
Business knowledge
What’s the use of deciphering the data and having the information, if afterward, you don’t know how to use it more strategically?
The best professionals trained in Data Science, masterfully understand the particularities of the organization or industry they work for. This ensures that the information is used safely and assertively.
Programming
Learning about programming is essential for anyone looking to pursue a career in Data Science. This competency allows you to absorb and implement concepts more quickly.
Data Analysis and Visualization
In the corporate environment, the data analyst focuses on investigating large groups of data, then turning these numbers into action.
And so that the other team members, managers or clients in question understand what has been done, it is necessary to organize this information in a visual way, so that the content is accessible to everyone involved in the presentation and project.
Machine Learning
You watch an action movie on Netflix and the platform starts to recommend similar titles to you, or even search for national 80’s rock classics on Youtube and the social network takes you to a path of music related to your search .
This is Machine Learning , when a series of algorithms makes predictions based on the information delivered. This practice helps to make decisions in anticipation of results and the data scientist knows how to collect this information, organize it and use it.
The Data Science Course
The undergraduate course in Data Science is considered a profession of the future . The first course of higher education in the area appeared only in 2018. Until then, the market hired professionals in the areas of engineering, physics and computing.
In order to develop a specific professional for the area, some Brazilian universities have created their own Data Science course and it can be your choice if you want to work specifically with this.
For whom it is nominated
The undergraduate course in Data Science is suitable for analytical and focused people profiles. Because it is a booming career, it is the ideal option for you looking for your first degree and also for professionals who already have a higher education, but you want to change your career path or update knowledge through of the second graduation.
In this context, the areas related to Data Science are business areas, engineering, technology, statistics, programming and mathematics.
Duration
The undergraduate course in Data Science can be offered in a bachelor’s degree, lasts 4 years and the curriculum includes a more general study about the area.
Already at technologist, the student graduates in 2 years and for that to happen, the curriculum is adapted with content specific and lots of practice. This teaching format allows for quick training and, consequently, increases your chances in the job market.
Data Sciences: The Labor Market
Imagine being a professional capable of extracting useful knowledge and valuable information from data, analytical vision and other computational and statistical tools? Now consider the high demand for those who provide these services and high salaries. This is the reality of a data scientist.
The company that invests in the scientist in the data has great chances of being ahead of the competition, organizations that do not request the services of a qualified professional, are swallowed up by the market.
The data scientist is among the 3 first places in the international ranking that assesses the best careers to work for. For being a key part of any public organization and demand for this professional’s services increases every day.