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How to Become
a Data Scientist
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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.

  1. Yandex is Russia’s Google. We have been developing our 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

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 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 professionals use.

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 to show to employers

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 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

Pay for the full 8 months of the program with
a one-off payment of $4,000

or

Split the cost into monthly payments of $500

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 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.

2

Introduction to Data Science

4 hours

Learning 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

4

Exploratory Data Analysis

40 hours

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

+ 1 project for your portfolio

5

Statistical Data Analysis

40 hours

Probability theory, the most common distributions, and statistical methods in Python. Sampling and statistical significance. Identifying and handling anomalies.

+ 1 project for your portfolio

6

Integrated Project 1

20 hours

Identify patterns to help you determine whether a given video game will succeed or not.

+ 1 project for your portfolio

1-week break
7

Data Collection and Storage (SQL)

40 hours

How databases are organized and how to pull data from them using SQL queries. Finding data online.

+ 1 project for your portfolio

8

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 complete your very first machine learning project.

+ 1 project for your portfolio

9

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

10

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.

+ 1 project for your portfolio

11

Integrated Project 2

20 hours

Prepare a prototype of a machine learning model to help the company develop efficiency solutions for heavy industry.

+ 1 project for your portfolio

1-week break
12

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: vectors, matrices, and linear regression.

+ 1 project for your portfolio

13

Numerical Methods

20 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

14

Time Series

40 hours

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

+ 1 project for your portfolio

15

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

16

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

17

Unsupervised Learning

20 hours

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

18
Hide program

Final Project

40 hours

Apply everything you’ve learned to a two-week bootcamp that simulates the experience of working as a junior data scientist.

Reviews
More reviews on Facebook or TrustPilot
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Rachelle Perez

March 3 2021
Student of the full Data Scientist program
March 3 2021
My experience taking Practicum’s Data Scientist program has been spectacular so far! Frankly, I was not sure I would enjoy learning on my own but Practicum’s structure has allowed me to finally grasp things I have seen in other courses and Youtube videos but never really understood. I think there are 4 reasons why: the focus on hands-on practice, the content, support, and deadlines. As a student, you have to constantly test your knowledge through small tasks and after each module, do projects that look holistically at what was learned so far. The content is non-intimidating (love the cute illustrations!) and simple to understand. No fancy words! The focus is on helping grasp the concept. There is a lot of support from Practicum’s tutors and community manager but also from other students. Somehow I feel like we are part of a group trying to achieve something together despite working individually, helping each other when needed and celebrating each other’s win. Finally, I thrive in having a plan of action to learn and Practicum facilitates this through a mix of realistic soft and hard deadlines to help you stay on track. Now, I can’t see myself ever taking an in-person bootcamp as I remember how often things would go over my head and I didn’t have the space and time to grasp a concept before moving on. To Practicum.. Thanks! You are helping me finally transition from a data analyst to a data scientist and I can’t wait to see what will come next in my career.
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Mabelly Tuchsznajder

February 20 2021
Student of the full Data Scientist program
February 20 2021
I'm a Marketing Data Analyst, and I found Practicum one of the best online programs for those, like myself, who want to give the next step in the Data Science field. The program has great content, challenging exercises, and real-world projects. But those aren't what makes Yandex one of the best online programs I have attended so far. Yandex's major advantage is how its tutors, project reviewers, and community managers deal with students' questions. First, they are professionals with real-world experience in the field, and, second and most important, all explanations or articles recommended by them are straight to the point and accurate. That said, I recommend Practicum by Yandex for anyone who wants to get into the Data Science field or brush up her/his skills.
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Mirjana Grkovska

January 29 2021
Student of the full Data Scientist program
January 29 2021
In the end of November, I decided to enroll for the Practicum by Yandex Data Science bootcamp. I started the introductory course and I got hooked. So much, that I completed the first three chapters in 2 days. It did not take me long either to complete the rest 5 chapters of the course. It was not my knowledge and skills that enabled me to finish everything in such a short time, but the interesting content, and the help of the Yandex team. I must say that is not the first time I am doing online Python lessons, but it is the first time where I feel challenged (rather than discouraged) to solve tasks and problems. I really like the concise content of the lessons - structured around solving a particular problem and I love the message window that pops up after getting the right solution. How well thought that these messages are not saying the same thing over and over again, such as 'Correct' or 'Well done', but they make reference to the topic I study at that moment and summarize the results in a creative way. These messages put smile on my face. I also like that there are diverse range of examples for the tasks, so there is something of interest for everyone (regardless whether you are a movie fan, marketing analyst, or social media devote, there is something you have knowledge on, so that motivates you more to solve the tasks and see what the results are). In addition, I feel that I am part of a great community that is always there to help. I have asked for help on fb, on slack, directly on the learning platform and the whole team is so friendly and makes me feel that I am not bothering them and that they are always available for the students. I am so excited about everything on this course, that I find myself studying late at night, or whenever I find a free time during my day job. I genuinely enjoy my learning journey with Yandex. Thank you Yandex team, you are all wonderful!
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Alper Arslan

January 27 2021
Student of the full Data Scientist program
January 27 2021
As a student of Practicum's Data Science course, I feel it made a lot of contribution, even though I am at the beginning of the way. First of all, it was very nice to try the course and the entrance part of the course was free. This allowed me to get an idea of how the course works and evaluate it. When I later started the main course, it always made me happy to feel their support. It is exciting to have a large number of projects, to have an intense but flexible schedule, to see the development by doing projects after learning with theory and practices, and to feel yourself in the real IT life cycle. Thanks to the whole team.
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Shuki Zanyovka

November 13 2020
Student of the full Data Scientist program
November 13 2020
The Yandex Practicum is an online course that provides the basic tools for a Data Scientist including a solid platform for studying more advanced subjects. The course is 8 months long program, in which there are a lot of mini-courses regarding multiple subjects in the field. Each of the courses includes a project which is checked carefully by the Practicum staff to provide constructive feedback to the student. In short, it's a great jumpstart towards the world of Data Science for students of any background who need the Data Science tools for their jobs or just for fun :)
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Rohit Pratapwar

October 26 2020
Student of the full Data Scientist program
October 26 2020
One of the best course which will help you to do transition from non coding background to become Data scientists with short span of time. This course helped me to achieve my goals. When I started my journey with Practicum by Yandex, I had no clue about python, stats, machine learning or anything but after a few weeks I started implementing it. My seniors are happy with my work. Now I can create different machine learning models which is helping my organization to achieve their goals.
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Egor Vinogradov

September 28 2020
Student of the full Data Scientist program
September 28 2020
If you haven't background in code but you want to dive in IT I think this course is good opportunity to start! I hadn't any background before I started it, any Bachelor or Master in CS. When you start this course you will see that each lesson has good and precise explanations. If you still have questions you have a good community in Slack where everyone will be happy to help you:) On each stage of the course you will make projects by your own for fixing your new knowledge:) Moreover each 2-3 weeks there are webinars where you can ask your questions about projects, etc. I spend on course 10-12 hours a week and I think that it's enough.
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Lindsey Naylor

August 25 2020
Student of the full Data Scientist program
August 25 2020
I’ve been a student in Practicum’s full Data Scientist course for a little while now and man is it a lot of information. As a recent graduate with a degree in Data Analytics, I’m well aware of the scope of this industry right now (Unsupervised vs Supervised Learning, Data Warehousing, Networking, Text Analysis, Machine Learning, the list goes on!). There is simply so much material out there that it is difficult to know where to start. Peer to peer, I’ll be honest. This course requires a tremendous investment of time, more so for those completely new to the material, and potentially more than the developers have suggested. That said, it is also the best course I’ve found on the market today. Not only do you have exclusive access to collaborative community channels, you have 24/7 live support from the Practicum team, opportunities for one-on-one help with your tutor, and a multitude of supplemental resources to help you along your journey. Let me be clear, this is a bootcamp course. It is intense. It is hard and it will test you. I’m not personally done with my course yet, but I have already gained so much already, some of which I’ve added to my resume. My best word of advice moving forward - don't take the support for granted. Take advantage of the webinars, tutorials, and resources because I've not found a team more dedicated to your success than here. I wholeheartedly recommend this course and please feel free to reach out to me if you’d like more information.
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Bhadresh Savani

June 17 2020
Student of the full Data Scientist program
June 17 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.
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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.
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Ofir Ezrielev

June 08 2020
Student of the full Data Scientist program
June 08 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.
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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.
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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.
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Gaini Zhuldassova

December 11 2020
Student of the full Data Analyst program
December 11 2020
I like the course content, it is interesting and comprehensible not only for people with experience in programming and statistics but for those who are new to data analysis. I have a strong background in math but this course helped me to refresh my knowledge and now I know how math and statistics are applied in data analysis. The course offers all skills one would need to start a career. I already have a job offer and when I had an interview with my employers they were impressed by the projects I have completed at practicum. I would recommend the content makers to add more sections dedicated to SQL since I sometimes have to do much more complicated sql programs at work. If you dream about starting a successful data analyst career you should certainly try Practicum by Yandex.
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Jennifer Foskett

December 9 2020
Student of the full Data Analyst program
December 9 2020
I enrolled in the Data Analytics boot camp and have been very impressed with the curriculum. As someone from a completely different background, I felt that I was supported and encouraged. Any help I needed was met with a fast reply and suggestions for improvement. It is a very challenging program with 2 week sprints but it takes you out of "tutorial Hell" and puts you in a place where you have to practice what you learned. This has lead me to feeling more and more confident in my abilities and I am excited for what the future holds because of my experience at Practicum by Yandex.
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Sheryl King

November 6 2020
Student of the full Data Analyst program
November 6 2020
I felt cared for and supported throughout the learning process.
We 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!»
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Yanina Khitrova

October 28 2020
Student of the full Data Analyst program
October 28 2020
For a long time I felt that I need a career change but I wasn't sure where to go. I tried various courses on Coursera and Udemy but without much success. In the beginning of the Covid-19 pandemic, I saw a Yandex Practicum ad on Facebook and decided to try the Data Analyst program. In the beginning, I wasn't even sure that I will be able to finish it because the whole topic was pretty new to me. But as I was doing it, I got more and more interested and involved in the program. The main program starts with a lesson about mindset and it really helped me improve my attitude. The course is structured in just the right way to involve students and keep it interesting. There are tons of practice tasks from the very beginning with increasing difficulty. The theoretical parts are clearly written and followed by exercises and real life projects. All exercises and projects are pretty challenging so you can feel the growing confidence after completing it. All projects are get checked by industry professionals. They provide really valuable feedback. Sometimes you may need to correct and resubmit the project several times until it is done correctly and accepted by reviewer. During the program, I completed 12 projects and one additional project, so the portfolio is pretty impressing. Another great part of the program are biweekly webinars. During the webinar, students could see how the data analyst works on different real life problems and real time coding sessions. The webinars give more live interactions to the program.
The 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.
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Margarita Sandomirskaya

August 5 2020
Student of the full Data Analyst program
August 5 2020
I have been working in tech for almost 4 years, but as an HR specialist, I have never coded. I mean I saw some code and even stopped being afraid of it, but never coded on my own. I knew that I should automatize simple repetitive tasks and that it is a nice idea to get skills in web scraping. I did simple analytics in Google Sheets. Before I met Practicum, I thought that to develop all these skills I would have to spend lots of money and/or time. After studying for about 4 months, I can scrape data and I do not need Google Sheets/Excel to do analytics, because I have Python. Moreover, due to the project approach implemented in Practicum, I can do “full-stack” analytics -- from preparing data for analysis (in many ways --I have already mentioned scraping, downloading datasets with optimal data types, filling out or not filling out missing values, making slices, making complex SQL queries, etc.) to drawing fancy graphs and conclusions in Jupyter Notebook.
Some 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!
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Adam Arie

August 3 2020
Student of the full Data Analyst program
August 3 2020
My name is Adam, and I’ve decided to change something in my life. I always felt passionate about analysis, and I faced in different spheres of my life. I also wanted to start programming, cause I always had a lot of people around who were engaged with it… So I’ve started learning python and SQL on different platforms. For me it was something brand new: programming languages, numbers, algorithms, plots, methods, inputs and outputs, pandas (I’m not talking about cute animals), strings, integers, float64, and dozens of other new scary words… I felt desperate, I felt happy…
I’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.
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Daniel Garcia

July 19 2020
Student of the full Data Analyst program
July 19 2020
The Data Analyst bootcamp from Yandex By Practicum (a leading tech company) has provided me with the skills and analytical thinking necessary to work as a junior data analyst. A course at Practicum is not just another Udacity or Dataquest related program, it's much more. The platform provides an innovative bi-weekly sprint-like teaching approach (per course), insightful webinars (which can be tailored to student needs!), and the challenging and self-directed projects that are reviewed by professionals in the relevant field among other features.
Of 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
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Kuldeep Changia

July 8 2020
Student of the full Data Analyst program
July 8 2020
I recently completed the first phase of the Data Analyst course using Python at Practicum by Yandex as a beta tester.
Considering 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!
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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.

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.

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!

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!

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FAQ

How do I know this is 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 learn a new profession in 8 months?
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 months you will acquire the necessary skills, put a portfolio together, and start a new career.
How do I start?
All you need is access to a computer and the willingness to study at least 20 hours per week.
Who will teach me?
The course was developed by experienced educators and professionals from Yandex, the School of Data Analysis, and other leading tech organizations.
How is the learning process structured?
There are three main components: the presentation of theory followed by practical tasks on our interactive online platform, project assignments that you’ll complete on your own, and coding under a 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, you can take a one-time, month-long leave. 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 track with weekly assignments aimed at helping you speak the same language as your employers. You will study and practice networking, learn job interview techniques, and perfect your resume and portfolio. Second, we will share tips based on solid market research to help you make informed decisions. After you complete the course, our staff will provide guidance on the current job market and help you promote yourself through networking and resume distribution. Please note that this assistance is only available to graduates who are eligible to work in the US.
Alright, 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 program, your refund will only cover the part you haven't completed. See Section 3 of our Terms of Use for more details.
How do I pay?
You can pay for the full program with PayPal from your student account. The groups start every month.
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