How to become a specialist in the study of big data - a representative of the most popular profession in 2020

Stop-stop! How is it "in demand"? What kind of specialists are this?

In the last week, at least one and a half thousand appeared on Russian handing resources (1,500 - we are for “techies”) vacancies for the search for Data Science specialists. The professions of this class became the most popular in 2020, and the average level of salaries on this profile is 170 thousand rubles a month. But for many, even the expression of Data Science is still incomprehensible. It seems that the time has come to simply and have fun to explain how this world was captured by specialists according to big data and how each of you can become (and can become at a discount: it is enough to follow this link until November 15, enter the DATA promotional code and get 45% discounts on training). Well, let's go!

Previously, when a person heard from another about Data Science, he either patted his interlocutor on the shoulder with the words “well done, you make calendars!”, Or widely opened his eyes in horror, representing a deity, knowing all computer programs and all mathematics. But we live in the modern world (they say that we no longer have serfs, although ...), so we understand that Data Science is a science of data that combines mathematics, computer science and system analysis (the latter is extremely important for business).

Simply put, this is a system of skills that allow you to work with a lot of information, structuring it not manually, but with the help of the programs you wrote. When creating machine models, you can control the data arrays, extract the most valuable from them, as well as identify patterns that can help you in your business.

The use of the Date-hunger is as wide as possible: from medicine to retail.

So if you dreamed of being a doctor in childhood, but lost consciousness from the color of tomato juice or from the phrase of mom “Sema, go to eat brains!”, Now you can easily devote yourself to the same medicine, only sitting behind the screen of your laptop.

Anyone can be engaged in a date-tunnels, even if he used to consider himself in mathematics and in programming in a complete zero. Knowledge of mathematics, of course, will give you a starting advantage in studying Data Science, but if you are a pure humanitarium, this is also not a misfortune. The market for teaching the sciences of big data is such that experts and tutors are ready to teach even those who are not initially “not friends” with numbers. It is only important to know the new and willingness to change your paradigm of thinking.

Learning Data Science from scratch is easy in Russia: there are a number of schools to study big data, among whose graduates are former philologists, musicians, and doctors. Moreover, the training system is built in such a way that a few months after receiving the first knowledge you can take orders to work with large amounts of data, and after some time - for the development and implementation of machine models. That is, after a few months you begin to beat investing in training, and earn money, even at the first stage of the most, than the average salaries in the market.

That is, nevertheless, mathematics and computer science will be needed? It's boring!

But not, the author answers his own question in the name of the chapter (it is time for him to at least get a dog from loneliness, or something).

Data Science involves the study of computer science and mathematics, but who said that this is boring? It is fun and exciting!

Consider this on the example of training at the SkillFactory school, which teaches the professions Data Scientist.

Interesting cases. During the classes, you are offered to feel like an employee of a large company in a business suit, giving tasks that would ask for large corporations. For example, write a spam classifier for a large postal company and wrap it in the service. Non-trivial tasks will help you quickly rebuild to comprehend knowledge in a new profession, because it’s not enough just want to turn from a bass player into Big Data Engineer-we need to completely change your thinking.

Deep lessons. With the help of specialists-tutors, expert helpers and other people whose functionality is written through a hyphen, you can in practice fix theoretical material, as well as develop joint approaches to solving the problems of machine and deep learning.

Working simulators. Thanks to a specially designed machine training simulator, you can bring the received Data Science skills to automatism, as well as understand someone else's code (you will not be able to hack other people's credit cards, but you can read this in another article - article 272 of the Criminal Code of the Russian Federation).

Soft Skills. It is not enough to learn software codes and learn to put them in practice, you still need to be able to sell your skills in a good way and learn to lead large projects. By the way, the Skillfactory school also teach this (they say that they are still taught to construct T1000 and send them into the past, but in 1995 we did not leave a single truck on a moped).

You will study all this in an atmosphere of friendliness and empathy, multiplied by a decent level of competence.

Suffice it to say that Data Science courses are often conducted by developers of large companies like Yandex.Zen or NVIDIA familiar to most gamers. So if this is an argument for you, recall: until November 15, all these delights are available with a 45% discount on DATA promotional codes on the Skillfactory school website.

While I am still afraid and doubt. Is it necessary to go to full -fledged couples?

The fact of the matter is that you do not need to go anywhere! Most often, Data Science can be studied online, and a significant part of schools thus builds its own educational process (for example, Skillfactory - from this type of school). Most often, all that needs to be done is to submit an application on the school’s website, and then clear the glider for the next 24 months.

After that, you will find several exciting classes, during which you will plunge into another life at all (two semesters to obtain a basic level, and two more for a specific specialization).

You will gain knowledge about databases, mathematical statistics, Python and Linux, classic machine learning models, Data Engineering and working with artificial intelligence and neural networks. It sounds specifically, but the specialists of the Skillfactory school assured us (and for some reason we believe them!) That most often you just have to try-and then from this magical world of big data a person cannot be torn.

The training always does not take place in vacuum: no one will leave you alone with numbers and databases. Everything will be held with the assistance of experts, your own tutor, teams of students-students with whom you can communicate in special closed chats. And at the Skillfactory school there is a career center at all: at the end of training, they will always help you make a resume with all your pumped skills, as well as send it to large companies.

And not just large, but the largest-such as Beeline, Rambler, Alfa-Bank, Rostelecom, Yandex, Sber, Skyeng and many others.

Strictly speaking, if you study well, you will get training no worse than in large offline wings like Harvard and Oxford: new thinking, theoretical and practical base and community of like-minded people with whom you can turn the mountains (well, or write a program so that it turns itself). And what is it there: you will get good skills in order to receive from 120 thousand rubles in a year of training, after 2 years - from 170 thousand rubles, and after another 2 years - from 250 thousand rubles a month.

The most important thing is that all this is completely affordable in price - and not only in Moscow, but also in the regions. Moreover, we emphasize again: in the coming days it is available at a reduced price! In a hurry: the Skillfactory school 45% discount is available only until November 15 (follow the link and enter the DATA promo code).

In general, even if you do not want to deal with Data, just go to the Skillfactory website for yourself. There, in special promotionals, you can see how the learning process works, get a course program if necessary, you can see your future resume. And also using a special calculator to calculate what your annual financial losses will be if you do not get skills in Data-Science. Fun, let's tell you, not for the faint of heart.

Count your life wisely!

Alexey Ivanov