Student of the full Data Scientist program
June 3 2021How 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.
How much data scientists earn
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 over the course of this 8-month, 20-hour-per-week program. Projects you will work on include:
Help a mobile company analyze user behavior
Train a model that helps a mobile phone company recommend a new plan for their customers based on their current usage.
Analyze potential profit and risks for an oil company
Create a model that will analyze different proposed locations for a new oil well that will maximize profits while minimizing risk.
Optimize the work of a gold-mining company
Train a model which can predict the amount of gold extracted from gold ore based on extraction and purification data.
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, while keeping in touch with fellow students. 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 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 completing independent projects using the same tools professionals use, and our code reviewers will provide feedback.
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.
- Access to our interactive platform
- 20 hours of skill and knowledge acquisition for free
- A guided project based on real data
Full program
$500 monthly price.
The total price is 4000
or
$4,000 if you pay
for all 8 months at once.
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 program
- Tutor support
- A professional certificate
- The skills and knowledge employers are looking for
- 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 about all our courses on Switchup or Course Report
Ivy Barley
June 3 2021The people at Practicum are amazing! The community managers care a lot about student's progress and check in often. The tutors, instructors and senior students are very responsive and provide helpful feedback to students via the Slack community and webinars. The program is project-oriented, so I get to complete at least one real world project for my portfolio. I also love that the Practicum team is very open to receiving feedback and are constantly looking out for ways to improve the program and student experience.
I'm super excited about the opportunity to study Data Science with Practicum and highly recommend them.
Rachelle Perez
March 3 2021Student of the full Data Scientist program
March 3 2021
Mabelly Tuchsznajder
February 20 2021Graduate of the Data Scientist program
February 20 2021
Mirjana Grkovska
January 29 2021Student of the full Data Scientist program
January 29 2021
Alper Arslan
January 27 2021Student of the full Data Scientist program
January 27 2021
Shuki Zanyovka
November 13 2020Graduate of the Data Scientist program
November 13 2020
Rohit Pratapwar
October 26 2020Graduate of the Data Scientist program
October 26 2020
Egor Vinogradov
September 28 2020Graduate of the Data Scientist program
September 28 2020
Lindsey Naylor
August 25 2020Student of the full Data Scientist program
August 25 2020
Bhadresh Savani
June 17 2020Graduate of the 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
Nicholas James Snyder
March 20 2020Graduate of the Data Scientist program
March 20 2020
Gaini Zhuldassova
December 11 2020Graduate of the Data Analyst program
December 11 2020
Jennifer Foskett
December 9 2020Graduate of the Data Analyst program
December 9 2020
Sheryl King
November 6 2020Graduate of the 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 2020Graduate of the 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 2020Graduate of the 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!
Daniel Garcia
July 19 2020Graduate of the 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 2020Graduate of the 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!
How 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?
Will I get a certificate?
How do I pay?