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DataGroup

9

Data Analytics: Excel, SQL, Power BI, Python, AI

789 000 ₸
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Allocated 7 Quotas

About course

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This intensive 6-month course focuses on comprehensive mastery of key data analysis tools through solving real-world business problems. The program is entirely hands-on and enhanced with AI integration: students use AI as an assistant to generate formulas, write SQL queries, and optimize Python code. The training is divided into four powerful modules: Excel, SQL, Python, and Power BI, each culminating in a full-fledged project. During the course, students develop more than three large, hands-on projects for their portfolio: an interactive business dashboard in Excel, a set of 10+ complex database queries in PostgreSQL, deep exploratory data analysis (EDA) in Python, and a final, enterprise-grade, multi-page dashboard in Power BI using built-in AI functions. All tasks are closely aligned with real-world market conditions, ensuring graduates are prepared for employer requirements.

Special condition

Selection criteria: selection using automated digital screening;

Course details

level

For all

Study format

Hybrid

Entrance exams

No

Duration, in weeks

26

Education language

Russian

Qualifications

junior

Skills


Data Collection, Processing, Analysis, and Professional Visualization (using AI): The ability to effectively collect, process, and present data in an understandable form using classic tools (Excel, Power BI, SQL, Python) in synergy with modern AI assistants. Students will learn to use neural networks to generate complex formulas, automatically create dashboards, and quickly find insights in massive amounts of data, which will help significantly accelerate business process optimization and support company operations. Database Management and Intelligent Optimization: Students will master fundamental database skills, including query execution, data aggregation, and performance optimization. A special focus will be on using generative AI (LLM) for automatic SQL code generation, rapid refactoring of complex queries, and intelligent data architecture design. Python Programming: Students will learn to use Python to analyze, process, and visualize unstructured data, as well as for web scraping. During their training, they will master AI code completion tools (AI Copilots) to accelerate development, and learn to integrate modern language model APIs for automated text analysis, sentiment analysis, and entity extraction from web sources. Advanced Data Analysis, Statistics, and Product AI: Students will learn various data analysis methods, statistical fundamentals, and A/B testing design for the automatic generation and validation of product hypotheses. This will enable them to apply the most effective analysis methods based on their company's goals.

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