Student of the full Web Developer program
September 17 2020How to Become
a Data Scientist
Data science is a complex and intricate field. It is comprised of structuring and analyzing large-scale volumes of data, applying machine learning to make predictions, identifying patterns, and drawing conclusions. Data scientists are needed in business, manufacturing, and science. They work with such essential tools as Python and its libraries, including Scikit-Learn and XGBoost, Jupyter Notebook, and SQL. Our mission is to teach you how to use these tools.
Salary of a Data Scientist
Source: indeed
Junior
Mid-level
Senior
$84,000
What you’ll get
You will master the skills required to become a data scientist and build a portfolio of projects during the 8 months, 20 hour per week training course. Projects you will work on:
Predict traffic levels for Yandex.Navigator
Train an algorithm that predicts the severity of daily traffic jams.
Select an ad to display on an internet community page
If the community has multiple sponsors, you’ll want each user to see the ad they’re most likely to click on. Your algorithm will predict how likely each click is.
Predict at which times couriers will be busy
Train an algorithm for a courier service that predicts which time slots will be used on a particular day.
About Yandex
Yandex is one of the top five tech companies in Europe. We build reliable and refined solutions, products, and services powered by machine learning. We have 1000+ developers and 30 offices in 10 countries around the world.
- Yandex is Russia’s Google. We have been developing our own search engine since 1997. Yandex
- Listed on the NASDAQ since 2011 as YNDX. Yandex
- Yandex.Taxi is the world's first and only profitable ride-hailing service. In February 2018, Yandex.Taxi merged with Uber in Russia and neighboring countries. Bloomberg
- Over 100 of our self-driving vehicles are currently being tested on public roads in the US and Russia. BBC
Study in a unique technological environment
Fully immersing yourself in the world of tech will expose you to industry technologies and allow you to apply them in hands-on projects under the guidance of a tutor. We’ve developed our own exclusive learning environment to help you do just that.
01
Interactive online platform
You'll start performing real-life tasks on day one. You'll get information in manageable amounts and then apply it by writing your own code on our interactive platform.
02
Independent work
The interactive platform is just one element of the learning process. You will also acquire essential skills while working on independent projects using the same tools as professional developers.
03
Tutor Support
Our professional team of tutors will check and review your code, help you overcome obstacles, and give you the professional advice you need to succeed.
Who Are Your Mentors?
They are experienced analysts from Yandex and other prominent tech companies. Some of them transitioned from other industries before finding success. Just like you, they had to start from the ground up.
Price breakdown
Introductory course —
free
Discover what data analysis is and do your first research as an analyst. You will learn the basics of Python, a key tool. This course will help you decide if you have the time and motivation to go all the way.
- you will receive access to the first course on our interactive platform
- a free 20 hours of skill and knowledge acquisition
- and 1 research project based on real data
Full program —
$1,600
For 8 months of training
After completing the free portion of the course, you can take the next step toward launching your new career.
- full access to the interactive platform
- a 600 hour-long professional course
- Tutor support
- a professional certificate
- skills and knowledge required by the industry
- and a 15-project portfolio
Course structure
1
Python and Data Analysis Basics: Free Introductory Course
20 hoursThe process and stages of the data scientist’s work — essential terms, methods, and tools of data analysis. Data preparation. Python programming language and its Pandas library. Jupyter development environment.
2
Data Preprocessing
40 hoursCompensating for less-than-perfect data. Handling missing and duplicate values. Changing data types. Systems thinking for analysts.
+ 1 project for your portfolio
Show entire program
Exploratory Data Analysis
Reviews
More reviews on Facebook or TrustPilot
Sivapriya Saraswati
September 17 2020Even more, you also have a whole team to help, from a tutor to other support. It's a great course for those who are serious about learning web development.
It is quite challenging, but they provide you great resources and support to help you push through and grasp it, while making it fun too. You get to create real world projects that can later be used as part of your portfolio. They really set you up for success! I highly recommend Practicum. I love their front end developer course.
Edgardo Melendez
August 27 2020Student of the full Web Developer program
August 27 2020I have completed a bit more than half of the ten-month program. It has helped me solidify all the random, disconnected knowledge I've picked up over the years. One area that I am truly grateful for is the deep-dive into CSS (Cascading Style Sheets, if you're new to this). Design isn't my strong suit, and I find that CSS, which handles the visual representation of web pages, can be more difficult than JavaScript. Practicum, however, explains things clearly and gives me a chance to boost my CSS skills.
Self-learning is not for everyone, but Practicum provides structured accountability with plenty of support. My journey, though at times long, frustrating and confusing, is easing into a more comfortable uncomfortable. I still have months to go and plenty to learn before I get an entry-level development job, but I'm glad I don't feel as lost as I once did.
I know there'll be frustrating moments ahead and I'll be using a lot of words one should not use. I've learned, though, that strength comes from within.
Every time I've been down, I've been able to pull myself back up. I spent a long time telling myself that others get a handle on programming in a matter of months, while it's taken me years. Now I realize that's not important; all you can do is move forward. And in the Internet Age, it's easier than ever to learn something new, as long as you're willing to try. I constantly remind myself that engaging in destructive conversations with myself, about myself, may lead to embarrassment or resentment. In the «industry» this is referred to as «imposter syndrome», and I will have no part in it!
So, if you're on the same road I am, keep moving forward, it does get better. As for me, I'm still not quite where I want to end up, but I'm inching my way closer to joining the tech community. Stay tuned for my eventual success story.
Lindsey Naylor
August 25 2020Student of the full Data Scientist program
August 25 2020
Margarita Sandomirskaya
August 5 2020Student of the full Data Analyst program
August 5 2020Some things now look simpler, although other ones look like a whole new world. For instance, now we are learning A/B tests, and there are so many nuances that I will never say that it is just about how to color buttons and split users. Another surprise for me was the fact that you really need math. Frankly, I thought that it was a truism, come on, I know the definitions and the difference between mean, mode and median, and how to call them in Python, isn’t it enough? Unfortunately, nope, it is not enough. The hardest part of each project for me is to write text and give recommendations. But first, I have to read with my own eyes all the tables and graphs, and make decisions. And at this step, you need math more than ever.
I wonder what other surprises are expecting me later on, but, oh, gosh, how I like it!
Adam Arie
August 3 2020Student of the full Data Analyst program
August 3 2020I’ve tried many different courses and programs to learn Python language, and I’m still discovering new things, cause programming and Data Science / Data Analysis is all about perpetual learning.
There are thousands of ways to start learning to code. For some people, it is easier to learn basics with video lessons, for others (like me), it is easier to learn from practical experience. There is Python.org tutorial, which is really useful at the very beginning, but it has no real-based tasks.
And here comes Yandex Practicum. My friends have recommended it, so I’ve given it a try. From the first lesson, this course offered me real cases: real-based tasks, support team help, task review, and canvas. And it’s become a way for getting into the world of coding I’ve been looking for. I really think the Yandex team does a lot of effort to keep their courses informative and interesting. And, I must admit, they pan out. My knowledge is far from perfect, and I have a long way to go, but I feel more confident due to the right choice.
Malcolm Evans
July 25 2020Student of the full Web Developer program
July 25 2020
Daniel Garcia
July 19 2020Student of the full Data Analyst program
July 19 2020Of special importance for me, has been the projects. These are very challenging projects that revolve around answering various business questions in a variety of fields. Whenever I work on these projects, I feel like I'm on the job! What's more, these projects get more complex throughout the program but there's always support and guidance from mentors if needed. This has been my highlight of the program as I'm confident now in my coding but more importantly, analytical thinking skills. You really can't go wrong by choosing this program
Kuldeep Changia
July 8 2020Student of the full Data Analyst program
July 8 2020Considering 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 procrastination).
Yandex, was a totally different 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 amalgamation all that you have learned 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!
Bhadresh Savani
June 17 2020Student of the full Data Scientist program
June 17 2020The content is really great. Your all questions will be answered within a few hours by instructors in the slack channels. I have never seen such a kind of community support in any earlier online course. I am a Computer Vision nano degree Graduate from Udacity. Practicum is better in terms of helps we get in slack than Udacity.
Every big module has a project which is reviewed by experienced professionals, The review you get really helps to learn better. It was really helpful to me. All the projects and modules need to be completed within the timeline which helps you to make daily learning habits. It has more than 15 projects for Data Scientists track which is the best part.
Online biweekly webinars are learning with fun, The instructor was a former data scientist. He always shares tips and tricks from his experience.
This Bootcamp was a complete package that you don't want to miss, one of the best learning experience.
Julia Starzycka
June 13 2020Student of the full Data Scientist program
June 13 2020
Ofir Ezrielev
June 08 2020Student of the full Data Scientist program
June 08 2020Those bi-weekly open-ended projects put structure in your data science studies, and are a great opportunity to look at a problem, find a cool new paper or library that can be used to solve such problems - and learn how to use them.
After submission, you'll also get individual feedback on your project, stimulating further growth and learning.
If you're planning on making your first steps in the world of data science, Practicum lays out a very enjoyable path for you to walk.
Nicholas James Snyder
March 20 2020Student of the full Data Scientist program
March 20 2020
SG Wood
March 31 2020Student of the full Data Scientist program
March 31 2020Lessons build one another in a logical progression and include practice data sets that let you apply new skills as you learn. They also describe common data analysis questions and use cases to provide context for the logic behind sample data analysis tasks. Their support team is friendly and quick to respond to questions.
Jalisa Hunter
March 23 2020Student of the full Data Analyst program
March 23 2020
Anqi Zhang
March 25 2020Student of the full Data Scientist program
March 25 2020
Pearl Lee
April 1 2020Student of the full Data Scientist program
April 1 2020I'm doing the Data Scientist course right now and I'll say that the introduction gives a lot of real-world examples of applicating what you're coding and help you analyze the results.
The only downside is that sometimes the coding isn't too intuitive, but that's all part of the process in learning.
Christopher Moy
April 03 2020Student of the full Data Analyst program
April 03 2020
Grant Wasil
March 31 2020Student of the full Web Developer program
March 31 2020As somebody who has already completed paid courses with other companies, I honestly wish that I had started with Yandex's course. They do a great job of explaining the topics in a fun and understandable fashion, while also ensuring that you leave with an in-depth knowledge. Their tutors are also very helpful!
I fell much more confident that I will be able to procure a job after finishing this course!
Devon Robinson
March 05 2020Student of the full Web Developer program
March 05 2020
Marites Milner
March 11 2020Student of the full Web Developer program
March 11 2020
Bridget Laurenson
March 1 2020Student of the full Web Developer program
March 1 2020
Linda Kovacs
June 05 2020Student of the full Web Developer program
June 05 2020This year due to Coronavirus I decided to accept the invitation form Women Who Code to become a beta-tester of the Practicum by Yandex platform and I joined the Web Developer Professional Certificate Program.
The program is an amazing experience in which you will learn at a high rate and have the opportunity to put your skills to the test with sprints and projects bi-weekly.
Overall, the experience is pretty tough, yet incredibly valuable. The Practicum curriculum is significantly more advanced and up to date than many other bootcamps.
The strong curriculum is specially designed that after quality curated theoretical lectures is dropping you right into a code base challenge and having you figure out what is needed to be done to find solutions which accurately mimics the real world experience. The Sprints also provide space for students to work on projects independently and as small groups.
The curriculum is geared to make you build your portfolio of 15 projects by following the original mockup design files and add functionality as per instructions received for each project. You will collaborate through GitHub using a professional developer's workflow that will help you in your Developer job.
The Program is 10 months long and the review process and the projects activities gives you the real world work environment and prepare you to be ready to join any Company’s Developer team at any time. The Sprints are build having in mind the job ready Developers.
The mentors, community managers and support staff are top notch and care greatly about student advancement and, ultimately, success. The program provides also great alumni network with an active Slack.
I don’t have enough words to recommend Practicum by Yandex Curriculum, join today and you will be definitely happy with your choice! Give it a try!
Mabel
June 23 2020Student of the full Web Developer program
June 23 2020
Colin Jones
March 23 2020Student of the full Web Developer program
March 23 2020
Gabrielle Ivellisse Feliciano
March 27 2020Student of the full Web Developer program
March 27 2020How do I know this is the career for me?
Is it possible to learn a new profession in 8 months?
How do I start?
Who will teach me?
How is the learning process structured?
What if I can't keep up with the workload?
Will I be able to find work when I'm done?
How will you help me get a job?
Alright, but can you help me find a job?
How does career support work?
Can I get my money back if I'm not satisfied?
How do I pay?