TripleTen

I am studying at Practicum by Yandex for half a year now and I am going to finish my course soon. I've enjoyed my Data Analytics course and I am inspired for further work. I would definitely recommend this course to anyone, cause it has a  complex approach to studies. You get well-structured theory, practice, real projects, guidance, tips on soft skills, communication with mentors and peers. This is a top quality program.
Of course, nothing is ideal and there were some annoying moments, for example, some bugs on the platform. But they were really minor and did not spoil the overall experience.
In conclusion, I'd like to add, that knowing how to work with data is essential in today's world. Data is the essence of knowledge, science and development. 

I loved my experience! They made learning feel easy. Any time I ran into a road block I contacted support and got help quickly, as they were really responsive. The structure of the curriculum was challenging in a good way. It helps you build skills to learn for yourself instead of just the simple read and review tutorial of other bootcamps. I loved practicum by yandex so much I am considering going back for one of there other boot camps in the future!

 I started the full data scientist course by Practicum in 2020. It's a good solid course with slack/webinars and etc. ways of communication. They provide a platform for tasks and during each sprint need to finish a project. 
THIS REVIEW IS HELPFUL0 

I really like Practicum offers hand on experience at coding. Though I self learned some coding before the program but never feel like I could break into the field. In Practicum web developer program, I not only learned the coding skill, but also the way how developer works. I am especially impressed by the hard working code reviewers. My coding structures and logic improved every time I got back my feedback. I now can build websites on a scratch all by myself, feel confident and am finally ready. Highly recommended!  

In the end of November, I decided to enroll for the Practicum by Yandex Data Science bootcamp. I started the introductory course and I got hooked. So much, that I completed the first three chapters in 2 days. It did not take me long either to complete the rest 5 chapters of the course. It was not my knowledge and skills that enabled me to finish everything in such a short time, but the interesting content, and the help of the Yandex team. I must say that is not the first time I am doing online Python lessons, but it is the first time where I feel challenged (rather than discouraged) to solve tasks and problems. I really like the concise content of the lessons - structured around solving a particular problem and I love the message window that pops up after getting the right solution. How well thought that these messages are not saying the same thing over and over again, such as 'Correct' or 'Well done', but they make reference to the topic I study at that moment and summarize the results in a creative way. These messages put smile on my face. I also like that there are diverse range of examples for the tasks, so there is something of interest for everyone (regardless whether you are a movie fan, marketing analyst, or social media devote, there is something you have knowledge on, so that motivates you more to solve the tasks and see what the results are). In addition, I feel that I am part of a great community that is always there to help. I have asked for help on fb, on slack, directly on the learning platform and the whole team is so friendly and makes me feel that I am not bothering them and that they are always available for the students. I am so excited about everything on this course, that I find myself studying late at night, or whenever I find a free time during my day job. I genuinely enjoy my learning journey with Yandex. Thank you Yandex team, you are all wonderful! 

A very good coding learning site.

 For a long time I felt that I need a career change but I wasn't sure where to go. I tries various courses on Coursera and Udemy but without much success. In the beginning of the Covid-19 pandemic, I saw a Yandex Practicum ad on Facebook and decided to try the Data Analyst program. In the beginning, I wasn't even sure that I will be able to finish it because the whole topic was pretty new to me. But as I was doing it, I got more and more interested and involved in the program. The main program starts with a lesson about mindset and it really helped me improve my attitude. The course is structured in just the right way to involve students and keep it interesting. There are tons of practice tasks from the very beginning with increasing difficulty. The theoretical parts are clearly written and followed by exercises and real life projects. All exercises and projects pretty challenging so you can feel the growing confidence after completing it. All projects are get checked by an industry professionals. They provide really valuable feedback. Sometime you may need to correct and resubmit the project several times until it is done correctly and accepted by reviewer. During the program, I completed 12 projects and one additional project, so the portfolio is pretty impressing. Another great part of the program are biweekly webinars. During the webinar, students could see the how the data analyst works on different real life problems and real time coding sessions. The webinars give more live interactions to the program.
The program teaches all technical and soft skills needed to junior data analyst:
-    Python programming language with libraries like Pandas, Matplotlib, Seaborn, Plotly, etc.
-    Jupiter Notebook
-    SQL queries and data processing
-    Data preprocessing with Python
-    Exploratory and statistical data analysis
-    Business analytics and A/B test
-    Data visualization (graphs and dashboards) with Python libraries and Tableau
-    Automation and machine learning basics
As a student, I feel constant support from the Practicum team: community managers, mentor, technical support and from fellow students. You can ask any question in the chat and get needed help pretty fast. Sometimes there could be some time lag because the team can be located in the other part of the world but technical support helps really fast anyway.
I also need to mention the career support program where student can get various help with resume writing, portfolio preparation, attend webinars with technical recruiters and career couches and much more.
To make the program even more appealing, I would make some suggests:
*  I would add kind of "tutor-on-duty" to answer the questions of the students from the different time zones. Sometimes, I got stuck in some tasks and could not move forward. I had to wait the help from my tutor till the next day because of the time difference. It could be pretty annoying for people with the packed schedules.
* It would be very useful to have both way communication with the reviewer.
* Also, after completion of the projects, it would be very interesting to see other students' projects or best projects from the previous cohorts.
Thank you Yandex Practicum Team for the great program, for the opportunity to be part of the great community, and opportunity to grow as a professional. 

 Like many other novice developers, I've found myself stuck in a tutorial loop which felt inescapable. I had been trying to make a career switch, but was frustrated with the endless "beginner" code camps which often resulted in just copying and pasting code. I had even completed a FullStack Javascript program from a competitor and felt abandoned the moment I got my certificate. Luckily, I didn't give up and I found Practicum. The course lessons are very interesting and tend to dive a bit deeper than most other programs to ensure you learn the "Why" behind the code. They even sprinkle lessons throughout the curriculum dedicated to helping transfer careers! I've made some great relationships with my instructors who I'm glad to call my mentor. Thank you Practicum for helping me break into my dream career! 

The Yandex Practicum is an online course that provides the basic tools for a Data Scientist including a solid platform for studying the more advanced subjects. The course is an 8 months long program, in which there are a lot of mini-courses regarding multiple subjects in the field. Each of the courses includes a project which is checked carefully by the Practicum staff to provide constructive feedback to the student. In short, it's a great jumpstart towards the world of Data Science for students of any background who need the Data Science tools for their jobs or just for fun :-).

I felt cared for and supported throughout the learning process. 

We completed lessons on the platform and projects on our own. The projects were reviewed and approved or returned for improvements. Every improvement was worth while and significantly increased the quality of my work. 

I went from feeling a bit overwhelmed to feeling excited about the next task. 

“How does this work?” became “I know I can do this!” 

I started the Web developer intro course a few week ago and let me tell you, i really enjoyed the whole experience. My favorite parts were;
1. How simply topics are explained ( with everyday, easy to understand language ).Ive done other online courses in the past and i admit that now i understand certain concepts better now in this course
2. The projects are taken step by step and i liked the story telling part of it. ( i felt like a a real Web Developer building cool stuff in days . lol)
3. support:  There is always someone  from the Yandex team or other students to help you or un-block you when you are stuck .
They constantly check on you and find out how learning is going. I really appreciate that.

Lastly, the Yandex learning  platform is really clean, organized and "clutter-free" . If you are like me and you don't like busy pages with  stuff  all over the place, Yandex is for you. Clean UI

I'll definitely like to continue with the other courses after the intro course.

After finishing a full-stack web development boot-camp, I felt lost and was definitely not ready for a job in the web development world. Since then, I knew that boot camps were not meant for me, but then I was going through Facebook and saw this ad for being a beta test for this new course that Practicum had, that one being a web development course. In my mind, I was skeptical. I already knew how boot-camps worked and how all they care about most of the time is to make money without caring whether the students learn or not, but I decided to give it a try; after all, it couldn’t hurt, and I was a beta test. I’ve decided to enroll and did the introductory week and learned more in 2 weeks than I did in 2 months in my other boot-camp. Ever since I started, it has been quite a ride, with impressive and up to date materials. You’re not just reading and asked to do something that you have no idea how to do, you get to practice all that you’ve learned, and then you get a task. The other great thing is that while you are learning, you are also learning Agile methodology, which is used for most companies out there. Now the tasks can be difficult and challenging at time, but you have a fantastic community and a tutor that is always willing to answer your questions. Reviews are the same way, they can seem as they are too picky at times, but in reality, they are trying to review your code as an actual company would. Thanks to Practicum, I could definitely say I am way better developer than I was when I came out of my other boot-camp and thanks to them, I now feel like confident enough to enter the field

This program is no joke!! It is HARD but you will learn. Each part is split into smaller courses. In each course, there are lessons and tasks to test your grasp of the material. Projects are spread out based on 2-week sprints. In each sprint, you are task with getting through certain lessons and a project. The lessons will take hours and so does the project. If you are really not committed to about 20 hours a week it will be hard to complete (at least in the first week of each sprint with hours spread out  WHENEVER you can), but you will feel SO accomplished after each sprint and project is completed. Slack is very structured and helpful. They believe in publicly stating your questions (rather than private DMs) which turns the students into a community helping each other get through.  The staff is exceptional addressing ANY question and doing webinars showing you harder parts. Honestly, plain and simple. This is the best online course I have ever seen in my life!!! You will push yourself and accomplish things you never though you could. Practicum is making magic.  

I was part of the Data Science track at Practicum. I learn about Data Processing, Exploratory Data Analysis, Statistical Data Analysis Technics, SQL, Machine Learning related concepts. The best thing about this Bootcamp is a project which is reviewed by professionals of Data science. There were around 15 different projects. You can ask any question related to Data Science and learning in the course to instructors, the answers were really helpful. The slack workspace is really organized well. What in most like about the Bootcamp is the end of the sprint webinar.

During this Bootcamp course, I transformed my career in the NLP domain from Full stack development. The concepts I learned here related to data handling and preprocessing, I use it in my workspace now. 

I have been working in the tech field for almost 4 years, but as an HR specialist, I never coded. I mean, I saw some code and even stopped being so afraid of it, but I never thought about coding on my own. I knew I should automate simple repetitive tasks and that it is a nice idea to get experience in web scraping. Before I found out about Practicum, I thought that I’d have to spend lots of time and money in order to get these skills. 

After studying for about 4 months, I can scrape data, and I no longer need Google Sheets/Excel for analytics tasks, because I have Python. Moreover, due to the project approach implemented in Practicum, I can do “full-stack” analytics — from preprocessing and making complex SQL queries to drawing fancy graphs and conclusions in Jupyter Notebook.

Some things now look simpler, although other ones look like a whole new world. For instance, right now we're learning about A/B tests, and there are so many little nuances that I would never say that it is just about how to color buttons and split users. I wonder what other surprises are expecting me later on...

I’ve been a student in Practicum’s full Data Scientist course for a little while now and man is it a lot of information. As a recent graduate with a degree in Data Analytics, I’m well aware of the scope of this industry right now (Unsupervised vs Supervised Learning, Data Warehousing, Networking, Text Analysis, Machine Learning, the list goes on!). There is simply so much material out there that it is difficult to know where to start. Peer to peer, I’ll be honest. This course requires a tremendous investment of time, more so for those completely new to the material, and potentially more than the developers have suggested. That said, it is also the best course I’ve found on the market today. Not only do you have exclusive access to collaborative community channels, you have 24/7 live support from the Practicum team, opportunities for one-on-one help with your tutor, and a multitude of supplemental resources to help you along your journey. Let me be clear, this is a boot camp course. It is intense. It is hard and it will test you. I’m not personally done with my course yet, but I have already gained so much already, some of which I’ve added to my resume. I wholeheartedly recommend this course and please feel free to reach out to me if you’d like more information.

I recently completed the first phase of the Data Analyst course using Python at Practicum by Yandex as a beta tester. 

Considering the fact that my track record of starting numerous courses across various platforms always ended up with me leaving the course mid-way for some reason or the other. (Read laziness and procastination) 

Yandex, was a totally diffrent experience for 3 main reasons: 

1) Deadlines: Considering each of the modules have a 2 week deadline attached to it, this sense of urgency actually helped a lazy person like me. However, there are options available in case you miss these deadlines but still having a sword above my head helped 😃 

2) Projects: Besides the regular lessons,  there is a project that needs to be done for each sprint, Also at the end of any particular phase an integrated project awaits you that tests in amalgation all that you have learnt across the various sprints. Each of the project is checked and reviewed by tutors with comments to improve 
 
 3) Tutoring and Slack Community: there is a super amazing  slack channel and a very well versed group of professional tutors at your disposal to help you understand concepts and guide you whenever you are stuck. 

I can't thank these guys enough! A great experience so far!
 #datascience #python 

* The material is very structured with great examples that make it clear and easy to learn.
* The team makes it feel like home, always trying to assist with various issues and helping you to get through your track.
* You can start practicing immediately in the course platform, and work on your projects - the installation of the workspace on your PC is not a barrier! you can deal with it later.
* The course takes you step-by-step with small amounts of theory and small tasks - a great thing if you deal with concentration difficulties!
* There's practicing from the very begining, you code nice stuff before you notice
* All the topics you need for your projects are covered in the course texts, no need to drown in a sea of information - you'll know what to search for.
* Very organized forum for questions about tasks which makes it easy to find what you need quickly.
* All the necessary material is textual, the videos are usually just a bonus - a great advantage if you are the type of person that loves texts and despises videos like me :)


Besides that, I think you'll need to develop a good coding style on your own, and search for efficient and aesthetic ways to implement your code. I came to this course with some experience in Python coding and with a BSc in electrical engineering, but I don't think that's necessary for studying.

If you haven’t background in code but you want dive in IT I think this course is good opportunity to start! I hadn’t any background before I started it, any Bachelor or Master in CS. When you start this course you will see that in each lesson has good and precise explanations. If still you have questions you have good community in Slak which happy to help you:) On each stage of the course you will made projects by your own for fixing you new knowledge:) Moreover each 2-3 weeks there are webinars in which you can ask your questions about projects etc. I spend on course 10-12 hours in week and I think that it enough. 

I took the intro to data science course. it sounded the most interesting to me of all the intro courses. I really enjoyed taking the intro course. it gave me a good feel of what I was getting into. I didn't realize how long the intro course was when I first took it. I thought it was only going to be a couple of lessons but it was 7 courses with multiple lessons. Everyone was extremely helpful whenever I ran into any issues or needed help with a mistake in my coding.