Data Scientist is one of the most sought-after professions today, and it still lacks bright minds.
What is the reason for the excitement? The answer is right before our eyes: information surrounds us everywhere. We generate it ourselves when we make purchases, use GPS, read the news.
Data Scientists know how to effectively use it in business – let’s talk about the benefits of their work.
What Do We Know About Data Science?
Let’s put everything on the shelves.
He applies machine learning algorithms to process and analyze datasets, then builds models that can be used to solve business problems.
To successfully implement the entire cycle, you need to know the methods and tools of its mining, deeply understand such branches of mathematics as:
- probability theory,
- discrete mathematics,
- understand the industry specifics of data.
The scope of this knowledge is very wide, from science and business to everyday life. After all, we are surrounded by countless volumes of information that are valuable for research.
This Science allows you to both analyze changes in meteorological conditions in a certain area, and check a financial transaction or indicators on the exchange market.
For example in data science company – Data Science UA – they make artificial intelligence evident by helping businesses to discover what they can do with AI. Here are five important components of why you should learn to be a Data Scientist.
Data Science is an opportunity to freely enter the profession
The profession is now in its infancy. This means that getting into it is relatively easy.
There are many systematic learning tools available, including online courses that allow a beginner or even someone from another field to master the craft. However, the availability of cognitive methods should not be confused with the lightness of the profession itself.
Data Science is an objective picture of the world
Data Science also gravitates towards the exact sciences, which, based on operations with numbers and info, make it possible to find accurate predictions, patterns and more.
Computer algorithms, contrary to the common stereotype, are controllable, and automation of processes using artificial intelligence technologies, when properly configured, always moves along a given path.
Data Science is continuous knowledge pumping
A Data Science specialist throughout his professional career encounters difficulties and the need to solve non-standard problems.
Why not count on trivial assignments and quiet workdays?
By applying cross-disciplinary knowledge and analysis on a daily basis, scientists seek out the best algorithms for their project from existing algorithms, and the chances of hitting the basket the first time are slim.
Through trial and error, while simultaneously figuring out the causes of the problems, the specialist finds the ideal approach to his data.
Data Science is profit for business
Processing the bulk of these serves as a vital tool for companies to find customers and meet their needs. Suffice it to recall several examples of the successful use of info Science by the world’s giants.
Every day, based on the analysis of the behavior of Netflix subscribers, it compiles personal selections of films and TV series. YouTube processes our video hosting activity and offers the best viewing experience.
Similar techniques are used by Amazon, Google, Yandex and countless retail chains when they send us offers and promotions.
Data Science is in demand
According to a study by the Big Data Academy MADE and the HH.ru portal, specialists are among the most in-demand on the market.
And their work is well paid: the average salary is 140,000 rubles. In addition, the popularity of the profession is only growing.