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ITechResearch

Qlik Sense Data Analytics

595 000 ₸
Allocated 2 Quotas

Mastering the basics of Qlik Sense and View: Teach students the basics of Qlik Sense, including installation, configuration and basic functions and features of the platform. Developing Data Visualization Skills: Teaching students how to create visual reports and dashboards using Qlik Sense to visualize data and identify trends and patterns. Exploring Qlik Sense and View functionality: Immerse students in advanced Qlik Sense features and functionality such as creating interactive filters, dynamic calculations, and more. Analytical Methods Application: Teaching students how to apply various data analysis techniques using Qlik Sense and View, including data aggregation, filtering, sorting, grouping, and more. Practical application of knowledge: Developing projects and cases involving real business scenarios so that students can apply their knowledge and skills to practical problems.

Special condition

In order to participate in the IT school, a guarantee fee of 50,000 tenge is required. The guarantee fee is mandatory and is not refundable in case of non-fulfillment of the student's obligations to the educational process: such as skipping classes, non-compliance with the academic schedule, late completion of assignments or other violations. Upon successful completion of the course, the guarantee fee is refunded.

Course details

level

For all

Study format

Online

Start

September

Entrance exams

No

Duration, in weeks

28

Duration in academic hours

112

Education language

Kazakh

Classes days_of_week

Mon-Fri

Teaching methodology

There are more practices than theories

Qualifications

Junior (Strong) Data analytics specialist

Classes format

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

Skills


Confidently use qlik sense to create data visualizations, analyze information, and build dashboards.

Analyze data using the various methods and tools available in qlik sense to identify trends, patterns, and important relationships in the data.

develop data-driven information products, including dashboards, reports, and interactive applications that effectively communicate business insights

FAQ

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