In September 2019 we launched is a free educational program for those who want to learn how to work with big data. This Saturday, we will talk about the course together with its teachers on the air of the open day - but for now, a little introductory information about the program and admission.
About the program
The Ozon Masters training course lasts two years, classes are held - or rather, were held before quarantine - in the evenings at the Ozon office in Moscow City, so last year only people from Moscow or the Moscow Region could enter us, but this year we opened distance learning .
There are 7 courses in each semester, classes for each of which are held once a week - accordingly, there are always several optional (and there are mandatory) subjects in parallel, and each student chooses where to go.
The program has two areas: Data Science and Business Intelligence - they differ just in the set of required courses. For example, Pasha Klemenkov's Big Data course is mandatory for DS students, and BI students can take it if they want.
University Application
The admission takes place in several stages:
- Register on the site
- Online test (until the end of June)
- Written exam (June-July)
- Interview
For those who successfully passed all the tests and exams, but did not pass the competition, this year there was an opportunity to study on a paid basis.
Online test
The online test includes 8 random questions: 2 in linear algebra, 2 in calculus, 2 in theory and statistics, 1 in differential equations - let the last question be a surprise.
To pass to the next stage, you need to answer at least 5 correctly.
Exam
To pass the exam, you will need knowledge of calculus, differential equations, linear algebra and linear geometry, as well as combinatorics, probability theory and algorithms - and I think there is nothing unfair in this list if you want to get serious about data analysis or neural networks) .
The written exam is similar to the Advanced Mathematics exam (available on the program website) - you will have 4 hours and no supporting materials. First you need to solve standard problems in analysis and differential equations, followed by slightly more tricky problems in probability theory, combinatorics and algorithms.
List of literature useful for preparation , there you can find examples of entrance exams.
Interview
The interview consists of two stages. The first part is similar to an oral exam - we will solve problems. The second part is a conversation for life (acquaintance). You will be asked about work/education/motivation, etc... We are interested in what you already know, how busy you are (or plan to be busy) and how much you want to get into the Ozon Masters.
And how many places for both programs? I'm afraid of a big competition
We plan to recruit from 60 to 80 people. Last year there were 18 registrations for 1 place.
How difficult is it to combine study and work?
You most likely won’t be able to combine training at Ozon Masters with a full-time 5/2 job - there will be almost no free time left. But there are still examples of heroes who succeeded.
Is it possible to combine with Skoltech, NES or another similar training program?
Most likely, you will not be able to combine studying at Ozon Masters and another similar school - it is wiser to choose one of the programs and study diligently on it.
If there are any more questions...
If you are sure that others will also really want to know the answer to your question, write in the comments. If you still have a question about the course, but you don’t want to write in the comments, write to the mail [email protected].
And we will be talking and answering questions en masse on Saturday, April 25 - at the day of open zooms (or zooms? :)
The program includes:
12:00 - Beginning; The speech of the organizers;
12:30 - Alexander Dyakonov - About the course "Machine Learning";
13:00 — Dmitry Dagaev — About the game theory course;
13:30 - Alexander Rubtsov - About the course "Algorithms";
14:00 - Ivan Oseledets - About the course "Computational Linear Algebra";
14:30 - Pavel Klemenkov - About the course "Big Data & Data Engineering";
15:00 – Meeting with students of the program; Answers on questions.
Connect to and .
Source: habr.com