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Alpha Education

6

Data Science with a focus on Artificial Intelligence

500 000 ₸
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Allocated 4 Quotas

We will explore the fundamental principles of programming and learn how to apply them practically using Python. Starting with the basics of Python syntax, you will learn various concepts such as variables, conditional statements, loops, functions, lists, dictionaries, and more. We will also get acquainted with libraries like NumPy, SciPy, Matplotlib, and Tkinter. Learn to work with APIs. Students will be introduced to the basics of machine learning and deep learning and will learn to apply them to solve classification, regression, clustering, and other tasks. Students will learn about methods of image processing and analysis using Python and the OpenCV library. Students will explore methods of processing textual data and analyzing natural language with Python

Special condition

The course fee is 500,000 KZT. Since the grant covers only 400,000 KZT, students who pass the selection must pay an additional 100,000 KZT to study on a grant basis. If a participant who has received a grant does not complete the course at any stage, they are required to pay a fine amounting to 100% of the total cost of the course, except in cases where the IT school has the opportunity to award their grant to another paying participant based on a decision. The final assessment (final exam) is on week 27. A participant is considered to have completed the course and receives a certificate of successful completion, provided they achieve a total of at least 70% of assignments completed; attend 70% of all lectures, and pass the final exam (conducted by Astana Hub). All students who successfully complete the course get the opportunity to intern at IT startups, companies, and partners.

Course details

level

For all

Study format

Online

Start

September

Entrance exams

No

Duration, in weeks

26

Duration in academic hours

156

Education language

Russian

Classes days_of_week

Monday-Friday

Teaching methodology

There are more practices than theories

Qualifications

Junior (Strong) Python Back-end/ML Developer

Classes format

Online lessons 2 times a week for 1.5 hours each and pre-recorded video lectures

Skills


Learn to develop: - small software applications - using libraries and frameworks - applying machine learning and deep learning algorithms - working in a team and understanding the software development process.

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