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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
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 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 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.

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 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 —
$1,600

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 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

Data Preprocessing

40 hours

Compensating for less-than-perfect data. Handling missing and duplicate values. Changing data types. Systems thinking for analysts.

+ 1 project for your portfolio

Show entire program

Exploratory Data Analysis

4

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

5

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
6

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

7

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

8

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

9

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

10

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
11

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

12

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

13

Time Series

40 hours

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

+ 1 project for your portfolio

14

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

15

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

16

Unsupervised Learning

20 hours

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

17
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

Enyel Sequeira

October 14 2020
Student of the full Web Developer program
October 14 2020
After finishing a full-stack web development boot-camp, I felt lost and was definitely not ready for a job in the web development world. Since then, I knew that boot camps were not meant for me, but then I was going through Facebook and saw this ad for being a beta test for this new course that Practicum had, that one being a web development course. In my mind, I was skeptical. I already knew how boot-camps worked and how all they care about most of the time is to make money without caring whether the students learn or not, but I decided to give it a try; after all, it couldn’t hurt, and I was a beta test. I’ve decided to enroll and did the introductory week and learned more in 2 weeks than I did in 2 months in my other boot-camp. Ever since I started, it has been quite a ride, with impressive and up to date materials. You’re not just reading and asked to do something that you have no idea how to do, you get to practice all that you’ve learned, and then you get a task. The other great thing is that while you are learning, you are also learning Agile methodology, which is used for most companies out there. Now the tasks can be difficult and challenging at time, but you have a fantastic community and a tutor that is always willing to answer your questions. Reviews are the same way, they can seem as they are too picky at times, but in reality, they are trying to review your code as an actual company would. Thanks to Practicum, I could definitely say I am way better developer than I was when I came out of my other boot-camp and thanks to them, I now feel like confident enough to enter the field.
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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 good community in Slak which happy to help you:) On each stage of the course you will made 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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Sivapriya Saraswati

September 17 2020
Student of the full Web Developer program
September 17 2020
Practicum is an excellent program for a variety of learning styles. You have theory and practical lessons, while along the way there are webinars to help you out.
Even more, you also have a whole team to help, from a tutor to other support. It's a great course for those who are serious about learning web development.
It is quite challenging, but they provide you great resources and support to help you push through and grasp it, while making it fun too. You get to create real world projects that can later be used as part of your portfolio. They really set you up for success! I highly recommend Practicum. I love their front end developer course.
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Edgardo Melendez

August 27 2020
Student of the full Web Developer program
August 27 2020
One day, on Facebook, I learned about an opportunity to apply to Practicum, an online school offered by Yandex. Practicum programs are a mixture of self-paced lessons in an interactive environment and live video sessions. My program is Web Developer, but they also offer Data Analyst and Data Scientist programs.
I have completed a bit more than half of the ten-month program. It has helped me solidify all the random, disconnected knowledge I've picked up over the years. One area that I am truly grateful for is the deep-dive into CSS (Cascading Style Sheets, if you're new to this). Design isn't my strong suit, and I find that CSS, which handles the visual representation of web pages, can be more difficult than JavaScript. Practicum, however, explains things clearly and gives me a chance to boost my CSS skills.
Self-learning is not for everyone, but Practicum provides structured accountability with plenty of support. My journey, though at times long, frustrating and confusing, is easing into a more comfortable uncomfortable. I still have months to go and plenty to learn before I get an entry-level development job, but I'm glad I don't feel as lost as I once did.
I know there'll be frustrating moments ahead and I'll be using a lot of words one should not use. I've learned, though, that strength comes from within.
Every time I've been down, I've been able to pull myself back up. I spent a long time telling myself that others get a handle on programming in a matter of months, while it's taken me years. Now I realize that's not important; all you can do is move forward. And in the Internet Age, it's easier than ever to learn something new, as long as you're willing to try. I constantly remind myself that engaging in destructive conversations with myself, about myself, may lead to embarrassment or resentment. In the «industry» this is referred to as «imposter syndrome», and I will have no part in it!
So, if you're on the same road I am, keep moving forward, it does get better. As for me, I'm still not quite where I want to end up, but I'm inching my way closer to joining the tech community. Stay tuned for my eventual success story.
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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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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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Malcolm Evans

July 25 2020
Student of the full Web Developer program
July 25 2020
Practicum by Yandex has greatly improved my technical skill set in a short amount of time! As someone seeking to pivot into product management and seeking roles working on technical products, what I’m learning in the Web Development course has boosted my confidence in speaking on technical topics. Although I am not finished with the course, I have gained a dexterity with technical language that has allowed me to successfully build a few small sites and to better understand my own relationship to engineering teams. The platform makes learning new concepts simple and provides external resources to expand upon that learning, which is a great additional resource. I would recommend this course to those on a journey into tech, looking to take on technical work!
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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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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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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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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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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!
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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.
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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.
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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!
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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.

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

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 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 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 from your user account with PayPal. The next group starts on November 5. To join, please pay by October 21.
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