The Data Science Guide for the Doubtful. How to start earning from 100,000 after courses

The Data Science Guide for the Doubtful. How to start earning from 100,000 after courses


The profession of a Data Science specialist is in the top 3 most in demand in 2020. The demand in this area is growing rapidly, and many companies are ready to hire employees without work experience to teach everything right on the internship. As long as there is no competition and the entry threshold is relatively low, it is very important to decide: Is Data Science yours or not? Especially for this, the teachers of the online school SkillFactory prepared free career guide… It gives a complete picture of the work of a data scientist and allows you to understand whether it is worth starting to study this profession.

Who is Data Scientist? This is the person who examines the data to find hidden patterns in it. He builds models and with their help predicts how the situation will develop further. Data scientists use ready-made programs and write new ones to process information faster and draw conclusions. They can solve a variety of tasks: from identifying elementary particles to analyzing consumer behavior.

To what extent is this profession in demand? According to Big Data Academy MADE and HeadHunter research in 2020, the demand for Data Science specialists increased by 9.6 times… Companies in almost all areas need specialists from this area. Moreover, more than 25% are ready to hire junior specialists, who will be further trained by themselves. So far, demand exceeds supply, so you can get a job even without experience, cases and portfolio. The salary in this profession is from 70,000 rubles. It takes about a year to become a full-fledged specialist with real cases. Such employees of the company are more readily accepted, their salaries already start at 130,000 rubles.

Who can become a specialist? The easiest way to learn is for people from close areas. Data Science is suitable for specialists from any profession related to programming and other technical, but not IT-specialties: physics, mathematics, chemistry. Nevertheless, absolutely everyone can master Data Science. Among the specialists there are former psychologists, teachers, managers and even sound engineers.

How do you know if it’s yours or not? Through guide by profession from SkillFactory you can objectively assess your skills and abilities. It contains a list with a detailed description of all soft and hard skills that a data scientist should have. To develop and move in the future from the Junior level (entry-level specialist) to the more advanced Middle (intermediate level), you need to develop them and constantly improve your skills. The guide will help you outline your own career and salary growth strategy in order to gradually develop and take on more and more complex tasks. Here you will find all the information you need for the first steps at the beginning of your education or employment. The guide answers all the main questions of beginners: do you need to know mathematics and Python, what real tasks you have to perform, what life hacks are when writing a resume and interviewing HR, how to learn and develop in this area for free. For specialists who are already looking for a job, there is also a lot of useful information: which companies pay the most in 2020, what is better to indicate in the resume, which tools are most in demand and what is happening on the labor market right now.

The tips from the guide will make you earn several times more in Data Science. The guide contains a lot of different information on how to start making a lot with Data Science. But there is a whole section with work tips from experts. They explain what exactly a beginner or a ready-made specialist needs to do in order for his salary to increase several times, and the value in the eyes of HR to increase significantly.

The guide was compiled by specialists from the large online school SkillFactory, which has been preparing highly-demanded IT specialists since 2016. The school teaches from scratch various programming languages, working with big data and machine learning, developing quality products and managing them. The creators of the guide collected all the relevant information and dynamics from the largest resources, for example, IncRussia, Glassdoor, New.HR, hh.ru, habr and others. All links to research are indicated directly in the guide.

Receive free guide to the profession from SkillFactory to objectively assess your skills and decide if you should study for the promising and highly paid profession of data scientist.

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