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Sergek Academy

Data Analyst

600 000 ₸
Allocated 12 Quotas

Deep dive into the field of data analysis and statistics. You will gain the comprehensive knowledge and practical skills needed to effectively begin your career as a data analyst. Divided into 12 modules, the course provides students with a comprehensive understanding of data collection, processing, analysis and visualization. Students will learn to work with tools such as MS Excel, Google Sheets for basic data processing, Python and its Pandas, Matplotlib and Seaborn libraries for more complex analytical tasks, as well as SQL for working with databases and Power BI for creating dashboards and reports. The program also includes the study of statistical analysis, hypothesis testing, the fundamentals of forecasting and machine learning. At the same time, special attention is paid to the practical application of acquired knowledge: students are given the opportunity to work on educational projects under the guidance of experienced teachers. The course is designed for those who want to develop in the field of data, regardless of the level of current knowledge.

Special condition

Guarantee deposit in the amount of 100,000 tenge.Upon successful completion of the entire course, the guarantee fee paid by the Student will be returned in full. Successful completion of the course is considered: 1) Completing all test tasks during the course 2) Passing all practical work 3) Completion of a diploma project 4) Attendance at least 20 practical classes

Course details

level

For beginner

Study format

Online

Start

September

Entrance exams

No

Duration, in weeks

26

Duration in academic hours

170

Education language

Russian

Classes days_of_week

Tuesday-Saturday

Teaching methodology

There are more practices than theories

Qualifications

Data Analyst

Classes format

• Watching short video lessons and reading longreads (1 day lecture) • Taking tests to check understanding • Participation in online group practical classes every week on the Zoom platform with the provision of a recording of the classes (1 day of practice) • Carrying out project work to apply the acquired knowledge • Application of all acquired knowledge to solve a real work problem as part of a diploma project at the end of the course

Skills


• Use advanced data analysis techniques in MS Excel & Google Sheets

• Perform basic and complex SQL queries to extract data

• Use various Python libraries for data analysis and visualization

• Create graphs and dashboards in Power BI

• Conduct and analyze the results of an A-B test

• Conduct statistical data analysis

FAQ

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