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DataGroup

Data Mastery: Microsoft Power BI, SQL and Python

600 000 ₸
Allocated 33 Quotas

About course

More on DataGroup

The course focuses on learning modern data analytics tools and practical application of knowledge in real-life business scenarios, providing participants with confidence in their skills and preparation for the challenges of the modern job market. The course consists of three main modules: Microsoft Power BI, database and SQL, Python for data analysis. The course program includes the basics of data analysis, data life cycle, ETL process, working with databases, as well as Python programming for data analysis and visualization. At the end of each module, students will present a project that demonstrates their ability to analyze and visualize data using the tools they have learned.

Special condition

A guarantee deposit of 200,000 tenge is returned if all homework is submitted on time and the projects are also submitted on time at the completion of each module

Course details

level

For beginner

Study format

Hybrid

Start

September

Entrance exams

No

Duration, in weeks

26

Duration in academic hours

322

Education language

Russian

Classes days_of_week

Mon-Friday

Teaching methodology

There are more practices than theories

Qualifications

Junior Data Analyst

Classes format

Online lessons 2 times a week for 2 hours (Zoom), office hours 2 times a week for 1.5 hours with course curators (Zoom)

Skills


Collect, process, analyze and professionally visualize data: learn how to successfully collect, process, and present data using technologies like Power BI, SQL, and Python to assist optimize business processes and support company operations.

Database Operations: Students will learn about query execution, data aggregation, and query optimization.

Python Programming: They will learn how to use Python to analyze, process, and visualize unstructured data, as well as web scraping, which will allow them to get information from a number of sources.

Data Analysis and Application of Various Analyses: Students will learn about several data analysis methodologies as well as the fundamentals of statistics. This would enable them to examine data and apply relevant analysis approaches to various projects based on their

FAQ

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