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DataGroup

9

Data Science

789 000 ₸
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Allocated 5 Quotas

About course

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The intensive course in Data Science focuses on deep practical training and guarantees the creation of a strong portfolio of 3+ full-fledged projects during the course. The program gradually leads students from the fundamentals of Python and OOP to confident database management using SQL. The next step is mastery of exploratory data analysis (EDA) using Pandas libraries and visualization tools, reinforced by the first mini-project. The second half of the course is devoted entirely to classical machine learning (from linear regressions to bagging and boosting ensembles) and basic NLP techniques, where students defend a second mini-project on modeling. The final culmination of the course is a large-scale capstone project—an end-to-end business case that confirms the graduate's readiness to solve real-world industry problems.

Special condition

Selection criteria: selection using automated digital screening;

Course details

level

For beginner

Study format

Online

Entrance exams

No

Duration, in weeks

26

Education language

Russian

Qualifications

junior

Skills


Upon completion of the course, graduates will master the full data lifecycle, ranging from extracting and structuring information using complex SQL queries to writing clean, object-oriented Python code. Students will learn to conduct deep exploratory data analysis (EDA), visualize hidden patterns using Pandas and other libraries, and design classical machine learning pipelines, including working with ensemble methods like Bagging and Boosting. Additionally, the program provides core skills in Natural Language Processing (NLP), such as tokenization and stemming. The ultimate outcome of the training is a confident command of Data Science tools, backed by a portfolio of three practical projects ready to be demonstrated to potential employers.

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