Student of the full Data Scientist program
November 13 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 —
$4,000
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 580 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
Introduction to Data Science
4 hoursLearning what it means to be a data scientist. An overview of spheres where data scientists can find work. Organizational aspects of the training process.
Show entire program
Data Preprocessing
Reviews
More reviews on Facebook or TrustPilot
Shuki Zanyovka
November 13 2020
Rohit Pratapwar
October 26 2020Student of the full Data Scientist program
October 26 2020
Egor Vinogradov
September 28 2020Student of the full Data Scientist program
September 28 2020
Lindsey Naylor
August 25 2020Student of the full Data Scientist program
August 25 2020
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.
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.
Nicholas James Snyder
March 20 2020Student of the full Data Scientist program
March 20 2020
Gaini Zhuldassova
December 11 2020Student of the full Data Analyst program
December 11 2020
Jennifer Foskett
December 9 2020Student of the full Data Analyst program
December 9 2020
Sheryl King
November 6 2020Student of the full Data Analyst program
November 6 2020We 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!»
Yanina Khitrova
October 28 2020Student of the full Data Analyst program
October 28 2020The 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 students can get various help with resume writing, portfolio preparation, attend webinars with technical recruiters and career couches and much more.
Thank you, Practicum by Yandex Team for the great program, for the opportunity to be part of the great community, and opportunity to grow as a professional.
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.
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!
Christopher Moy
April 03 2020Student of the full Data Analyst program
April 03 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.
Anqi Zhang
March 25 2020Student of the full Data Scientist program
March 25 2020
Jalisa Hunter
March 23 2020Student of the full Data Analyst program
March 23 2020How do I know this is the career for me?
Is it possible to learn a new profession in 8 месяцев?
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?