“My friends lost sight of me for 3 months” or how people study with us big data
Hello! On October 5, the fifth set of the Big Data Specialist program starts at New Professions Lab , which is currently completed by more than 200 people. We already told on Habré ( here and here ) what exactly we teach, with what knowledge and skills our graduates come out, and very soon we will write what will be new in the fifth program. And today we want to share stories and reviews of those who have already been trained and experienced all the hardships and hardships.
Sergey Zemelkin, Sberbank, Center for Applied Data, Project Director:
“For me, the program was a test. I did not use programming in my work and was far from understanding what python, spark, Hadoop and so on are. Once I did pretty good programming on pascal in the university, there was hope for this about the possibility of mastering the course program.
The program immediately captured almost all my free time and did not let go until the very end. Quickly falling off new topics for me and insidious laboratory work forced the brain to accelerate. I felt a pleasant feeling of acquiring new knowledge.
In addition to knowledge, the course gave me a great opportunity to meet with teachers who practice big data analysis in their work. With some of them we are now working on projects.
A wonderful class of interesting people has also gathered on our course. With some, we found common themes. We maintain friendly relations with some. After the course, I got a great sense of elbow that you are not alone in this world of big data and you can always count on the help of colleagues.
Now I work in Sberbank in a new unit that monetizes the bank’s data. We solve interesting and new tasks for the bank, and, of course, New Professions Lab, was one of the good reasons I came to Sberbank. ”
Kristina Fedorenko, Mail.Ru Group, programmer:
“Before newprolab, I already had enough training in BigData. Therefore, I had concerns that it would be boring or useless. They did not materialize. After the course, I began to better understand how hadoop infrastructure works. How data is stored in hbase, how pig works, hive, how hdfs works. I was fascinated by the topic of processing natural languages, partly because of this, later I changed jobs. I really liked the lectures of Peter Ermakov, Alexander Petrov and Vladimir Lesnichenko, thank you very much for them. The second part of the course was devoted to advisory systems. I have not such good impressions of her. Maybe because the New Year's bustle did not allow to plunge completely into them. But almost nothing remained in my head. All the people who make newprolab would like to say thanks for your work. Develop, reach new heights. ”
Artyom Moskvin, E-Contenta, data engineer:
“I am delighted with the program. Today, this is perhaps the key moment in my professional career. After graduation, I worked in IT for about 4 years. But since I had a business education, I was mainly engaged in the business part in companies. However, all this time I was drawn to the engineering side. It turned out to be not so easy to expand your career. To begin with, I could not even choose the direction of development: web, mobile or something else. As a result, I began to try and take various online courses. Then on one of the resources I saw the so-called nanodegree, among which was the direction Data Analysis. The term Big Data was already becoming buzzword, so I became interested, and I decided to give it a try. From the very first lessons I fell in love with this direction. As it turned out, I had a good background: I graduated from HSE, so that I was fine with math, and one of the courses I had previously had was just in Python. In one breath, I went through course after course, and suddenly I saw on Facebook news about recruitment in NewProLab. I could not miss such an opportunity.
I never got a nanodegree on Udacity because all my free time began to go to study in NewProLab. Lectures, homework, labs ... I really liked it very much, I directly caught the buzz from writing code, solving technical problems, I still catch and my friends lost sight of me for 3 months, but I found myself.
At the end of the program, I had a planned vacation, so I ended the program remotely. By that time, we were already in full contact in Slack, so there were no communication problems. However, during the holidays, the last 2 labs just fell ... I will never forget those stuffy days and sleepless nights spent in coworking in Bali. When everyone is rolling, having fun, relaxing, and I consider recommendations on Spark. Then I did not know that Spark would become one of my basic tools at a new job.
Sasha Petrov (now STO in E-Contenta) told us about the vacancy in E-Contenta on one of the cases. I immediately decided to respond. The topic of startups is very close to me in spirit, and I realized that I did not really want to enter enterprises. We talked with the rest of the founders, Zoe and Kolya, liked each other and decided to give me a test task. I started it just after the labs had finished doing in Bali. That is, I’ve got stuck in coworking for another week. Sasha accepted this task from me 3 days before departure. As a result, after spending half my vacation in coworking, I returned as a completely happy person. Ahead of me was a new career and a move to St. Petersburg.
I have been working at E-Contenta for 9 months. We are engaged in personalization at all stages of the marketing funnel: personalized advertising, recommendation systems, personalized mailing lists, etc. During this time, I managed to participate in the development of a real-time recommender engine, implemented just on Spark Streaming, as well as write and run DSP in production. But the biggest reward for me was the invitation as a speaker at NewProLab. From the very beginning, I was interested in the processing speed, so I pretty good pumped in the topic of stream processing. It is about her that I am telling the case to the second recruitment of students in NewProLab after me. Sharing knowledge is insanely cool and very important, in my opinion!
I am very, very grateful to the organizers and participants of the NewProLab program. If it weren’t for you, I don’t even know where I would be now. From myself, I can wish all future sets: love what you do and do what you love. ”
And now a few numbers:
We conducted a small survey among graduates and found out what was most useful in the program.
Laboratory works were in first place - 87.5% of graduates indicated them, lectures and seminars - 58.3% and 62.5%, respectively, and the third - communication with speakers, 54.2% of respondents chose this option .
Do you use in your work something from what you learned and what you learned from our program?
In this issue - an unambiguous primacy in machine learning (58%), in addition, knowledge about recommender systems (29%), analysis and collection of web logs (25%), natural language processing (25%) and Hadoop (25%) were useful. .
And finally, to which categories of specialists would you recommend the program?
Our graduates believe that training will be more useful to analysts and developers, to a lesser extent to managers. Indeed, in each set we have about 10% of managers and company executives, as a result of training, they can clearly set the task for the executors, have an understanding of how to monetize data and consider effectiveness in general.
Admission to the program is in full swing, moreover, if you come on the recommendation of a graduate, you will receive a 15% discount.
Thank you for your attention and we will be happy to answer your questions.
Sergey Zemelkin, Sberbank, Center for Applied Data, Project Director:
“For me, the program was a test. I did not use programming in my work and was far from understanding what python, spark, Hadoop and so on are. Once I did pretty good programming on pascal in the university, there was hope for this about the possibility of mastering the course program.
The program immediately captured almost all my free time and did not let go until the very end. Quickly falling off new topics for me and insidious laboratory work forced the brain to accelerate. I felt a pleasant feeling of acquiring new knowledge.
In addition to knowledge, the course gave me a great opportunity to meet with teachers who practice big data analysis in their work. With some of them we are now working on projects.
A wonderful class of interesting people has also gathered on our course. With some, we found common themes. We maintain friendly relations with some. After the course, I got a great sense of elbow that you are not alone in this world of big data and you can always count on the help of colleagues.
Now I work in Sberbank in a new unit that monetizes the bank’s data. We solve interesting and new tasks for the bank, and, of course, New Professions Lab, was one of the good reasons I came to Sberbank. ”
Kristina Fedorenko, Mail.Ru Group, programmer:
“Before newprolab, I already had enough training in BigData. Therefore, I had concerns that it would be boring or useless. They did not materialize. After the course, I began to better understand how hadoop infrastructure works. How data is stored in hbase, how pig works, hive, how hdfs works. I was fascinated by the topic of processing natural languages, partly because of this, later I changed jobs. I really liked the lectures of Peter Ermakov, Alexander Petrov and Vladimir Lesnichenko, thank you very much for them. The second part of the course was devoted to advisory systems. I have not such good impressions of her. Maybe because the New Year's bustle did not allow to plunge completely into them. But almost nothing remained in my head. All the people who make newprolab would like to say thanks for your work. Develop, reach new heights. ”
Artyom Moskvin, E-Contenta, data engineer:
“I am delighted with the program. Today, this is perhaps the key moment in my professional career. After graduation, I worked in IT for about 4 years. But since I had a business education, I was mainly engaged in the business part in companies. However, all this time I was drawn to the engineering side. It turned out to be not so easy to expand your career. To begin with, I could not even choose the direction of development: web, mobile or something else. As a result, I began to try and take various online courses. Then on one of the resources I saw the so-called nanodegree, among which was the direction Data Analysis. The term Big Data was already becoming buzzword, so I became interested, and I decided to give it a try. From the very first lessons I fell in love with this direction. As it turned out, I had a good background: I graduated from HSE, so that I was fine with math, and one of the courses I had previously had was just in Python. In one breath, I went through course after course, and suddenly I saw on Facebook news about recruitment in NewProLab. I could not miss such an opportunity.
I never got a nanodegree on Udacity because all my free time began to go to study in NewProLab. Lectures, homework, labs ... I really liked it very much, I directly caught the buzz from writing code, solving technical problems, I still catch and my friends lost sight of me for 3 months, but I found myself.
At the end of the program, I had a planned vacation, so I ended the program remotely. By that time, we were already in full contact in Slack, so there were no communication problems. However, during the holidays, the last 2 labs just fell ... I will never forget those stuffy days and sleepless nights spent in coworking in Bali. When everyone is rolling, having fun, relaxing, and I consider recommendations on Spark. Then I did not know that Spark would become one of my basic tools at a new job.
Sasha Petrov (now STO in E-Contenta) told us about the vacancy in E-Contenta on one of the cases. I immediately decided to respond. The topic of startups is very close to me in spirit, and I realized that I did not really want to enter enterprises. We talked with the rest of the founders, Zoe and Kolya, liked each other and decided to give me a test task. I started it just after the labs had finished doing in Bali. That is, I’ve got stuck in coworking for another week. Sasha accepted this task from me 3 days before departure. As a result, after spending half my vacation in coworking, I returned as a completely happy person. Ahead of me was a new career and a move to St. Petersburg.
I have been working at E-Contenta for 9 months. We are engaged in personalization at all stages of the marketing funnel: personalized advertising, recommendation systems, personalized mailing lists, etc. During this time, I managed to participate in the development of a real-time recommender engine, implemented just on Spark Streaming, as well as write and run DSP in production. But the biggest reward for me was the invitation as a speaker at NewProLab. From the very beginning, I was interested in the processing speed, so I pretty good pumped in the topic of stream processing. It is about her that I am telling the case to the second recruitment of students in NewProLab after me. Sharing knowledge is insanely cool and very important, in my opinion!
I am very, very grateful to the organizers and participants of the NewProLab program. If it weren’t for you, I don’t even know where I would be now. From myself, I can wish all future sets: love what you do and do what you love. ”
And now a few numbers:
We conducted a small survey among graduates and found out what was most useful in the program.
Laboratory works were in first place - 87.5% of graduates indicated them, lectures and seminars - 58.3% and 62.5%, respectively, and the third - communication with speakers, 54.2% of respondents chose this option .
Do you use in your work something from what you learned and what you learned from our program?
In this issue - an unambiguous primacy in machine learning (58%), in addition, knowledge about recommender systems (29%), analysis and collection of web logs (25%), natural language processing (25%) and Hadoop (25%) were useful. .
And finally, to which categories of specialists would you recommend the program?
Our graduates believe that training will be more useful to analysts and developers, to a lesser extent to managers. Indeed, in each set we have about 10% of managers and company executives, as a result of training, they can clearly set the task for the executors, have an understanding of how to monetize data and consider effectiveness in general.
Admission to the program is in full swing, moreover, if you come on the recommendation of a graduate, you will receive a 15% discount.
Thank you for your attention and we will be happy to answer your questions.