All Professions
Data AnalystData ScientistWeb Developer
Start learning
Professions
Data Analyst
Data Scientist
Web Developer
Coming Soon
UI/UX Designer
Test Engineer

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
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.

  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.

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 part 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.

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 —
free

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 —
$800

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 300 hour-long professional course
  • Tutor support
  • a professional certificate
  • skills and knowledge required by the industry
  • and a 17-project portfolio

Course structure

1

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

2

Data Preprocessing

20 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

4

Statistical data analysis

20 hours

Learning how to use statistical methods to analyze relations in data. Finding out what statistical significance, hypotheses, and confidence intervals are.

+ 2 projects for your portfolio

5

Introduction to machine learning

20 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

6

Supervised learning (classification and regression)

20 hours

Diving into the most highly demanded area of machine learning: supervised learning. Understanding how to work with imbalanced data.

+ 1 project for your portfolio

7

Machine Learning for Business

20 hours

Apply what you know about machine learning to meet the business needs. Discover business metrics, KPIs and A/B testing.

+ 2 projects for your portfolio

8

Linear Algebra

20 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

9

Numerical Methods and Algorithms

20 hours

Pulling apart a number of algorithms that use numerical methods and applying them to handle practical assignments. Learning about approximate calculation, evaluating algorithm complexity, and gradient descent.

+ 1 project for your portfolio

10

Texts, Time Series, and Feature Engineering

20 hours

Learning about feature engineering as a whole, applying it to texts and time series. Learning how to vectorize texts using word2vec, GloVe, and fastText.

+ 2 projects for your portfolio

11

Data Extraction

20 hours

Learning about main data storage systems: relational and distributed databases. Extract their data using requests written in SQL and methods from the PySpark library.

+ 1 project for your portfolio

12

Computer Vision

20 hours

Learning how to handle simple computer vision jobs using premade neural networks and the Keras library. Briefly becoming acquainted with deep learning.

+ 1 project for your portfolio

13
Hide program

Recommenders and Unsupervised Learning

20 hours

Learn about recommendation systems and build your own, not to mention diving into a number of unsupervised learning tasks.

+ 2 projects for your portfolio

Reviews
More reviews on Facebook or TrustPilot

Bhadresh Savani

June 01 2020
Student of the full Data Scientist program
June 01 2020
I was part of the Data Scientist track.
The 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.
Get in touch with the student

Julia Starzycka

June 13 2020
Student of the full Data Scientist program
June 13 2020
I really love this course because it is possible to learn to code even though I never coded before. Before this course, I have tried to learn through many methods, like joining clubs at school and Hour of Code. However, this course teaches very clearly and anyone can benefit from it, no matter their experience level because of the Slack community tutor and personalized feedback on projects. Although I used this as an introduction to coding, others that are more experienced can also benefit by gaining more experience with data.
Get in touch with the student

Ofir Ezrielev

June 05 2020
Student of the full Data Scientist program
June 05 2020
As you might guess from its name, Practicum is focused on giving you the hands-on tools required to begin your journey in the field of data science. It first introduces you to a subject through several exercises, and then encourages you to improve your skills on your own through individual projects.
Those 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.
Get in touch with the student

Nicholas James Snyder

March 20 2020
Student of the full Data Scientist program
March 20 2020
The Python and Data Analysis Basics course is a great stepping stone into the world of Data Science. No forced search engine use for information and if you need assistance there's a great Slack community and staff to help you out. The lessons teach you the basics, but also keep you focused on the important information. Combining the lessons with real-world applications was one of the best parts of the course and really helped solidify the learning process.
Get in touch with the student

SG Wood

March 31 2020
Student of the full Data Scientist program
March 31 2020
Practicum's Python & Data Analytics Basics course is a great introduction to Python for data analysis. This course focuses a bit more on Python than on general data analysis, but it gives you enough information to get started.
Lessons 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.
Get in touch with the student

Jalisa Hunter

March 23 2020
Student of the full Data Analyst program
March 23 2020
I have tried two other data/coding boot camps, and the Practicum by Yandex's data analytics and web development tutorials has by far been the best experience I have had. The way in which the program designed truly makes it easy for an absolute beginner to learn the ropes of data analytics, data science, or web development. There is no need to download multiple programming languages and script readers to follow along with the program. The Practicum team has done a phenomenal job of integrating the lesson sections and programming environment into one place. This makes the program easy to manage for beginners and makes learning less burdensome. 10/10!

Anqi Zhang

March 25 2020
Student of the full Data Scientist program
March 25 2020
I took the introductory course in the Data Science path, and I really enjoyed it! It was very well-paced, and I felt like the lessons were tough enough for you to take some time to work through them, but not so tough that it was impossible to complete. There are also some helpful hints for each task that can lead you in the right direction. The content is very creative, and the lessons follow some real-world examples of what it would be like to work in data science and what you can expect, which was very helpful. The platform was pretty user friendly, and they use a very simple onboarding style that doesn't take a lot of your time. Overall, a very well-structured course that seems quite promising in the future!

Pearl Lee

April 1 2020
Student of the full Data Scientist program
April 1 2020
Practicum is a good introduction to Python for someone who doesn't have any experience with coding in general. The lessons are mostly clear and easy to understand and the tasks guide you step by step (there are hints if you get stuck).
I'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 2020
Student of the full Data Analyst program
April 03 2020
Overall, Practicum by Yandex is a great way to get started and learn about coding. I just completed the pre-course work for Python and Data Analysis, and overall it does a great job explaining basic concepts and the lessons had over good structure. There were some typos throughout the lessons, and some sections could use some more practice/examples but I definitely recommend it to someone who's looking to get into coding.

Grant Wasil

March 31 2020
Student of the full Web Developer program
March 31 2020
The Web Developer course is fantastic!
As 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!
Get in touch with the student

Devon Robinson

March 05 2020
Student of the full Web Developer program
March 05 2020
I just finished the free introductory web developer course. I learned some basic HTML and CSS coding a long time ago, so this was a great refresher with thorough information. The lessons are set up as a “project,” which makes it interesting and engaging. They also make it easy to get help should you get stuck on a lesson. This platform is definitely great for people new to coding or anyone needing a review.
Get in touch with the student

Marites Milner

March 11 2020
Student of the full Web Developer program
March 11 2020
I was impressed with the web development intro course. I expected to be bored as I already have an experience in web development years ago and I was just looking to quickly brush up on my knowledge but I was surprised how engaging and concise the course was. Also having access to a community of fellow learners and mentors to talk to is a big plus. I’m looking forward to the whole course.
Get in touch with the student

Bridget Laurenson

March 1 2020
Student of the full Web Developer program
March 1 2020
I'm new to coding, having watched only a few tutorials on YouTube, I didn't feel confident with the basics and wanted to find guided instruction online. The intro web developer course has enough structure, other classmates and mentors can be reached by message, and the website is wonderfully intuitive. I can't wait to begin the full course and in the mean time I'll try the other introductory courses.

Linda Kovacs

June 05 2020
Student of the full Web Developer program
June 05 2020
Fantastic Program If You Are Up To The Challenge!
This 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!
Get in touch with the student

Mabel

June 23 2020
Student of the full Web Developer program
June 23 2020
I would like to recommend Practicum by Yandex’s Web Developer program to anyone looking to start a career as a Web Developer or even for experienced developers looking to improve their skills. The curriculum is comprehensive and covers all topics needed to become a full-stack web developer: HTML, CSS, JavaScript, React, Node and more. My favorite thing about this program is that as you learn new skills, you are also creating professional projects that showcase your understanding. In the end, you’ll have an impressive portfolio. Even though the program is remote, there’s a lot of support for students through tutor and live coding sessions. If you are not sure if this is the course for you, try the free intro course to get a feel for the platform and the community. You won’t regret it.

Colin Jones

March 23 2020
Student of the full Web Developer program
March 23 2020
The courses offered are fantastic, both easy to understand and filled with the information you actually need to build functional websites. I can't wait to learn more!

Gabrielle Ivellisse Feliciano

March 27 2020
Student of the full Web Developer program
March 27 2020
I just finished the Introductory Course and I really enjoyed the mock situation of being in a three-person startup tasked with doing certain challenges. That scenario paired with the content made me feel motivated and engaged in my learning.

Start Your Free Course

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

FAQ

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 you realize that you need to take a break or get some extra time to practice at any point in the program, 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.
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 July 23rd. To join, please pay for the program by July 22nd.
By continuing to use this site you consent to the use of cookies in accordance with our cookie policy.