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Data Analytics

950 000 ₸
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Allocated 6 Quotas

The Data Analytics course is designed for professionals who want to develop skills in collecting, processing, analyzing, and visualizing data to support business decision-making. The program includes working with Excel, Power BI, SQL, and Python, as well as fundamentals of statistics and product analytics. The course is intended for participants with basic knowledge of data work and foundational skills in Excel or other analytical tools. It aims to help them enhance their qualifications and learn how to turn data into valuable business insights.

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

June

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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