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Abstract

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The Qlik Sense data processing program is designed to provide participants with the in-depth knowledge and practical skills necessary to effectively use Qlik Sense, one of the leading tools in data visualization and BI (business progress).The program covers all important aspects, ranging from the basics of the Qlik Sense platform, implementation, interface navigation, data modeling and transformation, ending with the development of complex visualizations and effective data analysis.Participants will learn how to connect to different data sources, perform data uploads, and create and optimize data models and visualizations to make informed decisions based on the data.The program is designed to prepare participants for the practical application of Qlik Sense in various work situations, promote continuous learning and development, and provide the necessary skills necessary for a successful career in the field of data analysis and BI.

Important information

Way of learning

Place

Language

Aukštos pridėtinės vertės programa

Yes

Minimum requirements for the participant

Education

Vidurinis išsilavinimas

Acquired and improved competencies

Ordinary:

Digital competence

Entrepreneurship competence

Professional competencies:

Build advanced data visualization models and improve them effectively

Perform in-depth data analysis by generating strategic insights

Integrate different databases and information flows

Programmatically implement and administer databases

High value-added qualifications and competences:

Content of the learning program

Topic name	Brief description of the topic
Topic name 2. Uploading and managing data	Brief description of the topic 1.Data upload basics: Connection to data sources; Uploading data from files and databases.2.Writing scripts, declaring variables, and introducing cycles 3.Data transformation: The essence of data scripts; Data transformation and preparation.4.Data modeling: Understanding data modeling in Qlik Sense; Create basic data models
Topic name 3. Basic visualizations	Brief description of the topic 1.Creating basic visualizations: Understanding different chart types; Creating the first charts and graphs.2.Features of visualizations: Customization of visualizations; Exploring the properties of visualizations.3.Dimensions and measurements: Work with dimensions and measurements; Basic analysis and expressions of sets
Topic name 5. Advanced visualizations and analysis	Brief description of the topic 1.Advanced chart types: Exploring the possibilities of advanced visualizations; Custom visualizations and extension visualizations.2.Interactive factsheets and analysis: creation of interactive factsheets; Effective Data Analysis Techniques 3.Extensions and plugins: Introduction to Qlik Sense extensions; Customize with extensions
Topic name 6. App design and development	Brief description of the topic 1.Creating an effective design for Qlik Sense apps: Principles of effective design; Considerations of user experience and ease of use 2.Collaboration and sharing: Sharing and collaborating with Qlik Sense; Publishing and access control.3.Project work and final thesis: Led project: in-depth development of the Qlik Sense app; Overview, feedback and best practices.
Topic name 1. Introduction to Qlik Sense	Brief description of the topic 1.Qlik Sense Overview:Introduction to BI and Data Visualization; Understanding Qlik Sense and its location in BI.2.Start with Qlik Sense:Navigation in the Qlik Sense interface; Basic concepts and terminology.3.Mastering the basics of architecture 4.Containers 5.QVD file explanation 6.Setting up container installation
Topic name 4. Complex data modeling	Brief description of the topic 1.Complex data transformation: Complex scripting for data transformation; Solving complex data scenarios.2.Advanced data modeling techniques: Data model optimization; The use of advanced functions and calculations.3.Key elements and data architectures: Working with key elements; Best practices for data architecture
Topic name 7. Final evaluation and certification	Brief description of the topic 1.Final assessment: Detailed course content test 2.Certification and next steps: Course completion and certification; Paths for further learning and professional development