SPECIAL OFFER⭐ Get Python, Java, UX/UI and Software Tester course -40% off! Price applies to all packages! Find out more >>here<<

SDA / Courses / Data Science

Data turning you on? Get the sexiest job of the 21st century.

Curiosity is sexy. Ask questions, analyze details and don’t stop. Become a Data Science specialist and set yourself up for success!

Take part in our Data Science course.

Interested in an upcoming start date for this course? Fill out the form and we will contact you.

leave your details

What you will learn

Click on the numbers and find out:

System tools and GIT control system
123456789101112

System tools and GIT control system

System tools are a collection of useful techniques for operating your system with commands. Every self-respecting Data Scientist should know how to operate the console and we will teach you how to do it.

You will also learn how to use the GIT version control system that allows smooth collaboration in a team.

Python in Data Science

Python is the most popular language in Data Science. It has the largest number of libraries and frameworks that perform many Data Science tasks.

In this module, you will learn the Python basics required for creating application code.

Statistics and probability

Data Science is based entirely on mathematics. This module will help you understand the operations performed with the Numpy library, where you can calculate basic operations from linear algebra (operations on vectors/matrices).

In the second part, you will learn about probability – for example, why tests with a 90% success rate need to be repeated.

Processing of data sets

Data Science is data, data, and more data. Data come from different sources and in a variety of formats. They say that 90% of a Data Scientist’s job is data processing. It’s hard to disagree with that. The skills acquired in this module will be ones that you are going to use most frequently in your future professional life.

You will learn how to process data downloaded by an API or from an SQL database.

Data visualization

One chart can say more than many words on a given topic. The ability to present data in an appropriate way is valuable in the context of working with customers that buy by eye.

In this module, you will learn how to create interactive charts necessary for the work of Data Science.

Machine Learning in practice

Predicting stock market prices?

Choosing the right moment to buy an apartment, taking into account historical prices?

What does the future hold if we know the past?

Regression tries to answer these questions. It enables the prediction of unknown values ​​of one quantity from the known values ​​of others. In addition, this module will introduce the entire subject of classic Machine Learning methods – the ones on which many modern solutions are based. You will also learn about classification problems in supervised learning and what unsupervised learning is.

TensorFlow library

You will learn about the most popular framework for creating network solutions. It enables easy implementation of given network architecture, its learning process, and subsequent actions.

Neural networks

Artificial neural networks are structures that mimic the structures found in our brains. We have an input signal that gets processed differently by different neurons that generate some information at the end of the process. It is one of the most popular ML methods, so you need to know it very well.

They allow you to solve the problem of regression and classification, but also many others. We will teach you methods to learn such networks with the help of TensorFlow.

Image processing – Computer Vision

How do autonomous vehicles work?

How do they recognize road signs or pedestrians? In this module, you will learn how to process image data.

How do you filter the noise? What information can be extracted from images?

Moreover, you will learn how to use special structures of neural networks used to process image data. By understanding transfer learning, you will be able to create solutions that can explain most image processing problems and more.

Natural Language Processing (NLP)

Alexa and Siri are two examples of voice assistants. How do they understand what we say to them?

You will learn how to deal with textual data in this module (and learn the answer to this question).

Working with sequences – recursive neural networks

How can neural networks consider sequences and not a single object? How does the algorithm know which word should follow in a sentence?

We will try to answer these questions using recursive neural networks.

Practical projects

During the course, you will complete four final projects. Three of them are hands-on projects (Regression, Classification, and Image Processing) carried out at different stages of the course. And at the end, you will be tasked with one large final project.

An example of a final project could be a Covid-19 prediction project using publicly available data.

System tools and GIT control system

System tools are a collection of useful techniques for operating your system with commands. Every self-respecting Data Scientist should know how to operate the console and we will teach you how to do it.

You will also learn how to use the GIT version control system that allows smooth collaboration in a team.

Python in Data Science

Python is the most popular language in Data Science. It has the largest number of libraries and frameworks that perform many Data Science tasks.

In this module, you will learn the Python basics required for creating application code.

Statistics and probability

Data Science is based entirely on mathematics. This module will help you understand the operations performed with the Numpy library, where you can calculate basic operations from linear algebra (operations on vectors/matrices).

In the second part, you will learn about probability – for example, why tests with a 90% success rate need to be repeated.

Processing of data sets

Data Science is data, data, and more data. Data come from different sources and in a variety of formats. They say that 90% of a Data Scientist’s job is data processing. It’s hard to disagree with that. The skills acquired in this module will be ones that you are going to use most frequently in your future professional life.

You will learn how to process data downloaded by an API or from an SQL database.

Data visualization

One chart can say more than many words on a given topic. The ability to present data in an appropriate way is valuable in the context of working with customers that buy by eye.

In this module, you will learn how to create interactive charts necessary for the work of Data Science.

Machine Learning in practice

Predicting stock market prices?

Choosing the right moment to buy an apartment, taking into account historical prices?

What does the future hold if we know the past?

Regression tries to answer these questions. It enables the prediction of unknown values ​​of one quantity from the known values ​​of others. In addition, this module will introduce the entire subject of classic Machine Learning methods – the ones on which many modern solutions are based. You will also learn about classification problems in supervised learning and what unsupervised learning is.

TensorFlow library

You will learn about the most popular framework for creating network solutions. It enables easy implementation of given network architecture, its learning process, and subsequent actions.

Neural networks

Artificial neural networks are structures that mimic the structures found in our brains. We have an input signal that gets processed differently by different neurons that generate some information at the end of the process. It is one of the most popular ML methods, so you need to know it very well.

They allow you to solve the problem of regression and classification, but also many others. We will teach you methods to learn such networks with the help of TensorFlow.

Image processing – Computer Vision

How do autonomous vehicles work?

How do they recognize road signs or pedestrians? In this module, you will learn how to process image data.

How do you filter the noise? What information can be extracted from images?

Moreover, you will learn how to use special structures of neural networks used to process image data. By understanding transfer learning, you will be able to create solutions that can explain most image processing problems and more.

Natural Language Processing (NLP)

Alexa and Siri are two examples of voice assistants. How do they understand what we say to them?

You will learn how to deal with textual data in this module (and learn the answer to this question).

Working with sequences – recursive neural networks

How can neural networks consider sequences and not a single object? How does the algorithm know which word should follow in a sentence?

We will try to answer these questions using recursive neural networks.

Practical projects

During the course, you will complete four final projects. Three of them are hands-on projects (Regression, Classification, and Image Processing) carried out at different stages of the course. And at the end, you will be tasked with one large final project.

An example of a final project could be a Covid-19 prediction project using publicly available data.

What you get during the course

Career coaching

No matter where you are, a career adviser would be able to address all of your questions about working in the IT industry. Do you want to improve the quality of your LinkedIn profile or resume? We’d be delighted to assist you!

Mock job interview

Practice talking about your technical and soft skills before landing the first job interview. To help you get used to the process, we hold a mock interview for you with one of our instructors.

Industry materials

You’ll get our custom Success Book that includes all you need to know about IT, how to land your dream career, and what recruiters look for. We’ll stay in touch and give you content designed specifically for our students and graduates.

HR class

This is a hands-on course that delves into the recruitment process and how to prepare for it! You’ll discover how to write the first resume for IT careers, when to look for work, and how to nail the recruiting interview.

What our graduates say

“I can say that the instructors offered us a lot of support. Every time they knew about a job opening for juniors, they let us know about it.”

Bianca Todoran Data Analyst, The Smart Cube

” I was looking to change my career and I stumbled upon SDA courses. I started with zero knowledge in IT and with the help, guidance, and encouragement of SDA trainers, I ended the course with the ISTQB certification and started on my first job as a software tester.”

Marijaana Siimson Software Tester

“The course syllabus is very comprehensive, not just about Java. It’s a good place to start learning. The course helped me to build a knowledge base that I would build on further in line with the job or project requirements I’m working on.”

Adina Dumitrescu Software Developer, Kalypso

“If I had to choose the biggest value I got from the course, it’s that it showed me how the human value and technical value go hand in hand in the IT industry. And SDA has managed to outdo themselves in both.”

Levente Szilveszter Software Developer, Uniqa Raiffeisen Software Service

“To summarize it all, I would definitely suggest that you try this SDA course if you’re planning to enter the programming world.”

Pavel Pšečuk Breakwater Technology tehnilise toe insener

There will never be a better time, act now!

Get a job in IT, live in peace and you’ll never have to worry about your income again.

sign up for a course

Knowledge

2 199 EUR

Get a solid foundation for launching your career on the IT market. This package includes the course workbook, live sessions, and video training.

  • Yes Workbook Introduction to Data Science
  • Yes Course
  • Yes Video sessions – we broaden your competencies
  • Yes Tests
  • Yes Attestation of course completion
  • Yes SDA Certificate
  • Yes IT Career package – successfully enter the IT industry!
  • No Individual consultation with a Career Advisor
  • No HR Class – practical workshop
  • No IT Interview – job interview simulation
  • No Project +
  • No ASANA app video training
  • No Technical knowledge test
  • No English in IT
  • No Defense of the Final Project and feedback from the Trainer
  • No Simulation of a soft conversation with a Career Advisor
  • No Receiving a job offer every week after completing the Course
  • No Development tasks from the Career Advisor

IT-Career PRO

3 499 EUR

In addition to the standard elements of the IT Knowledge and IT Career packages, the Employment Guarantee includes much more to help you get into the IT industry as soon as possible after completing the course!

  • Yes Workbook Introduction to Data Science
  • Yes Course
  • Yes Video sessions – we broaden your competencies
  • Yes Tests
  • Yes Attestation of course completion
  • Yes SDA Certificate
  • Yes IT Career package – successfully enter the IT industry!
  • Yes Individual consultation with a Career Advisor
  • Yes HR Class – practical workshop
  • Yes IT Interview – job interview simulation
  • Yes Project +
  • Yes ASANA app video training
  • Yes Technical knowledge test
  • Yes English in IT
  • Yes Defense of the Final Project and feedback from the Trainer
  • Yes Simulation of a soft conversation with a Career Advisor
  • Yes Receiving a job offer every week after completing the Course
  • Yes Development tasks from the Career Advisor
Workbook Introduction to Data Science Course Video sessions – we broaden your competencies Tests Attestation of course completion SDA Certificate IT Career package – successfully enter the IT industry! Individual consultation with a Career Advisor HR Class – practical workshop IT Interview – job interview simulation Project + ASANA app video training Technical knowledge test English in IT Defense of the Final Project and feedback from the Trainer Simulation of a soft conversation with a Career Advisor Receiving a job offer every week after completing the Course Development tasks from the Career Advisor

Payment options

Tuition fees must be paid by the start date. If payment is by instalments, payment will be made according to the agreed schedule. Unemployment Insurance Fund (Töötukassa) will pay for Unemployment Training Card holders. Tuition fee refunds and arrangements for withdrawal are agreed in the training contract.

For more information, please contact our customer adviser!

Total cost: from $57/month

Inbank hire purchase

Inbank hire purchase is a flexible payment solution which gives you the ability to pay
for the services in instalments. Inbank hire purchase allows you to split a large one-
time expense into small monthly payments. Spread the purchase sum over up to 6
years. The first payment is due only a month later.

Advantages:
● Flexible solution for large expenses
● You choose the instalment amount
● You choose the instalment payment period
● You choose the payment date
● Response to an application within a minute

Pay with Inbank

Financing terms:
● Financing amount 100 – 10 000 €
● Period 3 – 72 months
● Interest rate 9.99%
● Down payment 0 €
● Contract fee 19.99 €
● Administration fee 0.99 € per month

Applying for a hire purchase is easy!

The interest rate of the Inbank hire purchase is 29,31% per year under the following example conditions: purchase amount 800€, contract period 9 months, interest rate 9.99% from the purchase amount, down payment 0 €, administration fee 0.99 € per month, contract fee 19.99 €, monthly installment 98.85 €, total credit cost 889.70 €. The financial service is provided by AS
Inbank Finance. Before signing the contract, we recommend that you familiarize yourself with the terms and conditions of the financial service, consult with a specialist