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How to Become
a Data Analyst

Data analysis is a complex and intricate process. It is comprised of collecting and structuring data, forming and testing hypotheses, identifying patterns, and drawing conclusions. Data analysts are essential in business, administration, and science. They work with fundamental tools such as Python and its libraries, Jupyter Notebook, and SQL. Our mission is to teach you how to best use these tools.

Data analysts' salaries

Source: indeed
Junior
Mid-level
Senior
$50,000

What you’ll get

Over the course of this six-month, 20-hour-per-week program, you will master the skills required to become a data analyst and build a portfolio of projects, including:

Streaming on-demand media: user preferences
Find out how the popularity of musical genres depends on the time of day and day of the week.
The effect of weather on taxi services: forming hypotheses
Suggest the probable causes of customer churn and test your hypotheses.
E-commerce: boosting revenue
Prioritize hypotheses on how to boost revenue and run an A/B test.

About Yandex

Yandex is one of the top five tech companies in Europe. We build reliable and refined solutions, products, and services powered by machine learning. We have 1000+ developers and 30 offices in 10 countries around the world.

  1. Yandex is Russia’s Google. We have been developing own search engine since 1997. Yandex
  2. Listed on the NASDAQ since 2011 as YNDX. Yandex
  3. Yandex.Taxi is the world's first and only profitable ride-hailing service. In February 2018, Yandex.Taxi merged with Uber in Russia and neighboring countries. Bloomberg
  4. Over 100 of our self-driving vehicles are currently being tested on public roads in the US and Russia. BBC

Study in a unique technological environment

Your full immersion in the world of IT will expose you to industry technologies and allow you to apply them in hands-on projects under the guidance of a tutor. We’ve developed our own exclusive learning environment to make it happen.

01

Interactive online platform

You'll start performing real-life tasks on day one. You'll get information in manageable amounts and then apply it by writing your own code on our interactive platform.

02

Independent work

The interactive platform is just one part of the learning process. You will also acquire essential skills while working on independent projects using the same tools as professional developers.

03

Tutor support

Our professional team of tutors will check and review your code, help you overcome obstacles, and give you the professional advice you need to succeed.

Who are your tutors?

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 confirms that you completed the program. It proves to employers that you are competent in data analysis and personally completed all the projects in your portfolio.

Price breakdown

Introductory Course —
free

Discover what data analysis is and do your first bit of research as an analyst. You will learn the basics of Python, a key tool. This course will help you decide if you have the time and motivation to go all the way.
  • you will receive access to the first course on our interactive platform
  • a free 20 hours of skill and knowledge acquisition
  • and 1 research project based on real data

Paid Course —
$600

For 6 months of training

After completing the free portion of the course, you can take the next step toward launching your new career. The full program gives you:
  • Full access to the interactive platform
  • 440 hours of professional training
  • Tutor support
  • A professional certificate
  • The skills and knowledge employers are looking for
  • and a 15-project portfolio

Course structure

1

Python and Data Analysis Basics (free introductory course)

20 hours

The process and stages of analysts' work. Essential terms, methods, and tools of data analysis. Data preparation. Python programming language and its pandas library. The Jupyter development environment.

1 project for your portfolio

2

Introduction to data analysis

4 hours

Learning about what it means to be an analyst. An overview of the areas where analysts can find work. Introducing different types of data analysis. The organizational aspect of the training process.

1 project for your portfolio

Show entire program

Data Preprocessing

4

Exploratory Data Analysis

20 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

20 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

Preparing data for analysis. Initial study of the data set. Formulating and checking hypotheses.

1 project for your portfolio

1-week break
7

Data Collection and Storage (SQL)

20 hours

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

1 project for your portfolio

8

Business Analytics

20 hours

Even closer to business, we take a detailed look at metrics and essential tools like cohort analysis, sales funnels, and unit economics.

1 project for your portfolio

9

Data-informed decision making in business

20 hours

A/B testing: when to use it; designing and identifying the sample size; getting and validating results.

1 project for your portfolio

10

How to Tell a Story Using Data

20 hours

How to correctly present research results using graphics, key numbers, and solid interpretation.

1 project for your portfolio

11

Complex Project — 2

20 hours

Pulling data from a database. Data set preprocessing and overview. Formulating hypotheses in light of business specifics. Checking hypotheses and preparing conclusions formatted as an analytical report.

1 project for your portfolio

1-week break
12

Automation

20 hours

Automating data analysis processes. Scripting routine and regular tasks. Creating dashboards for different audiences and company needs.

1 project for your portfolio

13

Prognoses and predictions

20 hours

Basics of machine learning, taking a look at a project predicting the churn rate.

1 project for your portfolio

14
Hide program

Graduation project

20 hours

Independently solving an analytical problem of your choice, complete with all the stages of data analysis.

1 project for your portfolio

Reviews
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Start Your Free Course

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

Is this the career for me?
We have a free course for those who are still uncertain. It will make it evident to those of you who still have some doubt.
Is it possible to get a new profession in 6 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 6 months you will acquire the necessary skills, put a portfolio together, and start a new career.
How do I start?
All you need is high school education and a willingness to study at least 20 hours a week.
Who will teach me?
The course is put together by experienced educators, methodologists, and professionals from Yandex, School of Data Analysis, and other professionals at the forefront of the IT industry.
How is studying arranged?
There are three main components — theoretical breakdown followed by practical tasks on our interactive online platform, assignments to practice on your own, and coding under your tutor's supervision. You can practice on our platform at any time that is convenient for you, but assignment completion is time-restricted.
What if I can't keep up with the workload?
If you realize that you need to take a break or get some extra time to practice at any point in the program, you can take a month-long academic leave. You can do this a maximum of two times. Our program’s schedule also includes two week-long study breaks.
Will I be able to find work when I'm done?
You will, but it won't be easy. The market needs skills in addition to knowledge. We'll teach you how to apply knowledge and help you build a portfolio of practical projects, but making a name for yourself takes a lot of work. In the end, the more projects there are in your portfolio, the better your chances are of landing a job at a reputable company.
How will you help me get a job?
At Practicum, we strive to help you reach your full professional and personal potential, which is why we've developed a two-step support system for our graduates. First, we offer an optional career prep course where you have to complete weekly assignments aimed at helping you speak the same language as your employers. During the course, you will study and practice networking, as well as learn job interview techniques and work on perfecting your resume and portfolio. Secondly, we will share our researched market insights that will help you choose the right career path. After you complete the course, our staff will guide you through current job opportunities and help you better grasp the situation through networking and resume sourcing. Should you have any particular issues getting hired, you will receive personal help. Please note that help with finding a job can only be given to those who are eligible to work in the US.
Can I get my money back if I'm not satisfied?
The short answer is yes, whenever you want. Of course, if you've already gone through part of the course, your refund will only cover the part you haven't done yet. You can read about this in more detail in our terms and conditions.
Do you use real data for your projects?
We provide real data that has been thoroughly anonymized.
How can I pay?
You can pay for the full program in your account using PayPal. The next group starts on July 23rd. To join, please pay for the program by July 22nd.