Software Development Academy

For years, the IT industry has to deal with a large deficit of employees. Not only programmers are missing, but also testers. Therefore, on our course you can gain knowledge that will allow you to start working as an automation tester! Working as an automation tester will allow you to develop comprehensively, both in the field of software testing, testing mobile applications and programming.

During the course you will learn the basics of Java programming and the modest and popular test automation tools. You will automate key business scenarios, participate in the improvement of manual and automated testing processes, and support developers in their daily work.

Want to land the sexiest job of the 21st century? This course will give you the fundamentals of data science and how you how to use advanced machine learning methods to find hidden insights in massive data sets. "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. 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.

Want to land the sexiest job of the 21st century? This course will give you the fundamentals of data science and how you how to use advanced machine learning methods to find hidden insights in massive data sets. "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. 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.

Want to land the sexiest job of the 21st century? This course will give you the fundamentals of data science and how you how to use advanced machine learning methods to find hidden insights in massive data sets. "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. 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.

Want to land the sexiest job of the 21st century? This course will give you the fundamentals of data science and how you how to use advanced machine learning methods to find hidden insights in massive data sets. "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. 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.

Want to land the sexiest job of the 21st century? This course will give you the fundamentals of data science and how you how to use advanced machine learning methods to find hidden insights in massive data sets. "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. 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.

Want to land the sexiest job of the 21st century? This course will give you the fundamentals of data science and how you how to use advanced machine learning methods to find hidden insights in massive data sets. "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. 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.

Want to land the sexiest job of the 21st century? This course will give you the fundamentals of data science and how you how to use advanced machine learning methods to find hidden insights in massive data sets. "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. 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.

Want to land the sexiest job of the 21st century? This course will give you the fundamentals of data science and how you how to use advanced machine learning methods to find hidden insights in massive data sets. "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. 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.

Want to land the sexiest job of the 21st century? This course will give you the fundamentals of data science and how you how to use advanced machine learning methods to find hidden insights in massive data sets. "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. 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.