In which companies (in Moscow) can you start a career in data analysis (data science)?

Question

data mining

hello everyone
, i'm one of those 3* year old "weirdos" who decide to change something in their life, but don't quite understand how.
Brief background: my main work experience is focused on the side of IT consulting (software implementation for business needs). Most of my experience has been customizing/implementing a business intelligence system that no one else sells or buys, and the essence of customization was customizing countless checkbox windows and XML files. In view of this, from the point of view of owning some technology in a good volume, my experience is completely irrelevant to the market, so I do not have a strong point to sell.
Last year I participated in a more or less serious project (on another "respectable" software), but as an analyst, that is, the output of my work was documents and business process diagrams. The project collapsed, salary delays began, and I went "nowhere", deciding at the same time to do away with IT consulting at least at this stage of my life.
I read in some smart book that if you want to change activities, you need to look at your life, at the hobbies of youth, at what is closer now. Obviously, for the average "techie" such activity can be programming and its various applications.
I understand that you can become a programmer only in 10 years, I saw the comic "how to become a programmer in 21 days" and so on. Naturally, while studying this issue, most often I came across advice to learn Python as the least difficult for "old people" to enter and in general. But the language itself is only a tool, and there is much to be learned besides it, depending on the potential interest of the application. And if there is an interest in writing games, then obviously python is not the best choice.
Further, studying what is happening in IT and the company where I would like to be eventually, I came to the conclusion that I am more interested in developing in the direction of data analysis (or data science, as it is now fashionable to call it), so it seems like python is also suitable.
Passed the initial course on python from stepic.org , in the same place -fundamentals of statistics . Now I am finishing the first two courses of the " data science" specialization from Cursera, I'm going to finish the specialization (7 more courses), though without a diploma (because it's free). At the same time, an additional course on R and on the use of python for data analysis from Udacity is planned .
According to the materials and courses, it is approximately clear, but not entirely clear, how to start a career (I am in the nearest suburbs).
I ask the respected community to correct (if necessary) self-learning plans and suggest companies (except Yandex) where there are initial positions in which data analysis is the main or one of the central skills.
Thank you! (sorry for the confusion)

Answer 1

> starting positions

Some kind of learned mathematician would be more suitable here.
You can have a bottleneck in the exact sciences and theoretical computer science. This will result in the fact that you simply cannot understand what they want from you. You can start watching these lectures (~36 hours). It will be enough for 4-6 months to grab some theoretical tops. habrahabr.ru/company/yandex/blog/208034

Answer 2

Don't be fooled.
The basics of statistics on stepic.org is nothing, the most introductory course. The course on R, apparently, will not go far.
I won't say anything about Coursera and Udacity.
Take a look at the Yandex ShAD courses posted in public, try it on - will you pull it.
Good luck.

Answer 3

betamind company. try.