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Data Analytics

850 000 ₸
Allocated 7 Quotas

The Data Analytics program is designed for professionals who want to develop their career and improve their skills in data processing to solve complex business problems. The course aims to teach students the fundamental principles of technologies such as information analysis using Excel, data visualization and dashboarding using Power BI, writing queries using the SQL programming language, and programming in Python.The program is suitable for students, recent graduates with little work experience who wish to develop skills in data analytics, as well as for professionals from various fields who aim to enhance their qualifications and make analytical decisions based on processed data and identified trends.

Special condition

Additional Fees. Upon successful enrollment in the course, a prospective participant is required to pay the remaining amount of the course fee before the start of the training. The 6-month training costs 850,000 tenge, and the grant within the Tech Orda program amounts to 600,000 tenge. Thus, there is a remaining balance of 250,000 tenge that must be covered by the student.

Course details

level

For beginner

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, wednesday, friday

Teaching methodology

There are more practices than theories

Qualifications

Data Analyst, BI Analyst, Product Analyst

Classes format

Lessons are conducted online 3 times a week for 2 hours each

Skills


▸ Conduct exploratory data analysis using Excel, SQL, Python and Power BI.

▸ Query and transform data in SQL database to create analytical data and business reports.

▸ Know the fundamental of databases and how to use them to manage, extract and transform data using SQL.

▸ Calculate important business metrics and draw conclusions based on them.

▸ Identify anomalies in metrics and the reasons for them.

▸ Have a clear understanding of how to cover business issues by telling stories through data visualization.

▸ Use Python to analyze data end-to-end and solve various business problems.

▸ Calculate product and financial metrics for product development.

▸ Conduct A/B testing and hypothesis testing to make effective decisions

FAQ

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