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How 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

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.

  1. Yandex is Russia’s Google. We have been developing own search engine since 1997. Yandex
  2. Listed on the NASDAQ since 2011 as YNDX. Yandex
  3. 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
  4. 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

Your full immersion in the world of IT 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 make it happen.


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.


Independent work

The interactive platform is just one part of the learning process. You will also acquire essential skills while working on independent projects using the same tools as professional developers.


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.

Professional Certificate

The certificate is an official document that proves you completed professional training and is only issued upon passing your final project. It shows employers that you are competent in data analysis and personally completed all the projects in your portfolio.

Price breakdown

Introductory Course —

Discover what data analysis is and do your first bit of 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

Paid Course —

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 16-project portfolio

Course structure


Python and Data Analysis Basics: Free Introductory Course

20 hours

The 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.

1 project for your portfolio


Data Preprocessing

40 hours

Learning how to deal with outliers, gaps, and duplicates while also converting different data formats.

1 project for your portfolio

Show entire program

Exploratory Data Analysis


Statistical data analysis

40 hours

Performing initial scans to detect patterns in data. Building basic graphs and generating your first hypotheses.

2 projects for your portfolio


Introduction to machine learning

40 hours

Mastering the basics of machine learning. How the scikit-learn library works and how to use it in order to build your very first machine learning project.

1 project for your portfolio


Supervised learning

40 hours

Diving into the most highly demanded area of machine learning. Understanding how to tune machine learning models, improve metrics, and work with imbalanced data.

1 project for your portfolio


Machine Learning for Business

40 hours

Applying the acquired machine learning knowledge to business tasks. Discover business metrics, A/B testing, the Bootstrapping technique, and data labeling.

2 projects for your portfolio


Linear Algebra

40 hours

Taking a more in-depth look at some algorithms you’ve already learned and understanding how to apply them. Get a hands-on feel for the main concepts behind linear algebra: linear space, linear operators, and Euclidean space.

1 project for your portfolio


Numerical Methods

40 hours

Pulling apart a number of algorithms that use numerical methods and applying them to practical tasks. Learning about gradient descent, gradient boosting, and neural networks.

1 project for your portfolio


Time Series

40 hours

Exploring the time series. Understanding trends, seasonality, and feature creation.

1 projects for your portfolio


Machine Learning for Texts

40 hours

Applying machine learning to text data. Finding out how to convert text into numbers and how to use bag-of-words, TF-IDF, as well as embeddings and BERT.

1 project for your portfolio


Computer Vision

40 hours

Learning how to handle simple computer vision tasks using premade neural networks and the Keras library. Taking a quick look at deep learning.

1 project for your portfolio

Hide program

Unsupervised Learning

20 hours

Figuring out what to do when you have no target features. Handling the clustering tasks and looking for anomalies.

2 projects for your portfolio

More reviews on Facebook or TrustPilot

Start Your Free Course

Try your hand at data science and learn the basics of it.

Is this the career for me?
This is exactly what our free course will help you decide. Work your way through 20 hours of free material if you’re still not sure whether this profession is for you.
Is it possible to get a new profession in 8 месяцев?
We believe so, assuming that you dedicate no less than 20 hours a week to studying, completing assignments on time, and keeping in touch with your mentor. In 8 месяцев you will acquire the necessary skills, put a portfolio together, and start a new career.
How do I start?
All you need is high school education and a willingness to study at least 20 hours a week.
Who will teach me?
The course is put together by experienced educators, methodologists, and professionals from Yandex, School of Data Analysis, and other professionals at the forefront of the IT industry.
How is studying arranged?
There are three main components — theoretical breakdown followed by practical tasks on our interactive online platform, assignments to practice on your own, and coding under your tutor's supervision. You can practice on our platform at any time that is convenient for you, but assignment completion is time-restricted.
What if I can't keep up with the workload?
If at any point in the program you realize that you need to take a break or get some extra time to practice, you can take a month-long academic leave. You can do this a maximum of two times. Our program’s schedule also includes two week-long study breaks.
Will I be able to find work when I'm done?
You will, but it won't be easy. The market needs skills in addition to knowledge. We'll teach you how to apply knowledge and help you build a portfolio of practical projects, but making a name for yourself takes a lot of work. In the end, the more projects there are in your portfolio, the better your chances are of landing a job at a reputable company.
How will you help me get a job?
At Practicum, we strive to help you reach your full professional and personal potential, which is why we've developed a two-step support system for our graduates. First, we offer an optional career prep course where you have to complete weekly assignments aimed at helping you speak the same language as your employers. During the course, you will study and practice networking, as well as learn job interview techniques and work on perfecting your resume and portfolio. Secondly, we will share our researched market insights that will help you choose the right career path. After you complete the course, our staff will guide you through current job opportunities and help you better grasp the situation through networking and resume sourcing. Should you have any particular issues getting hired, you will receive personal help. Please note that help with finding a job can only be given to those who are eligible to work in the US.
All right, but can you help me find a job?
Yes, we can. Our HR team will help you write a resume, prepare for your first job interviews, and contact specialists from large companies. Seventy percent of graduates who are looking for a new job find it in 2-4 months.
How does career support work?
Two months before the end of the course, you'll be able to join a three-part career prep course. The first step is the career track, which will help you create a comprehensive resume and prepare your portfolio. The second part is the career acceleration track, which involves actively searching for jobs, completing test assignments, and having mock interviews. Finally, we will provide support and help you adapt to your new working conditions once you find a job. A career coach will work with you throughout the entire course.
Can I get my money back if I'm not satisfied?
The short answer is yes, whenever you want. Of course, if you've already gone through part of the course, your refund will only cover the part you haven't done yet. You can read about this in more detail in our terms and conditions.
How can I pay?
You can pay for the full program in your account using PayPal. The next group starts on August 27th. To join, please pay for the program by August 26th.