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Updated in [October 18th, 2023]

What does this course tell? (Please note that the following overview content is from the original platform) Handle interview questions with ease
Start developing solutions for your company as soon as you have finished this course
Receive an achievement based certificate This is based on your test results so you can show the world your skill levels
Understand and apply Associative Data Modelling concepts
Learn about different Model Schema types
Learn to code Joins & understand how they work
Learn how the Associative Data Model is stored internally
Learn how to load and connect to different data sources (eg SQL Web )
Code Scripts for ETL data processing
Learn to code calculations using Set Analysis
How to code What-If analysis
14 Assignment projects for hands on practice followed by Quizzes testing your knowledge
Learn charting best practices
Learn about advanced calculation functions like Aggr() Rank() IntervalMatch()
Create Charts such as Gauges Pie Bar Combo Line Tornado Heat Maps Scatter
Learn performance tuning for charts and scripting
Add actions and conditions to charts and other objects
Apply many of your new skills to QlikSense eg Modelling Set Analysis
Over 150 Quiz test questions for you to check your learning progress
Real world sample data available for download and analysis
Install QlikView 12 (and SQLServer express if you want to connect to sample SQL databases) We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it: (Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.) What skills and knowledge will you acquire during this course? During the course "The Complete QlikView Boot Camp," learners will acquire the following skills and knowledge: 1. Ability to handle interview questions with ease. 2. Proficiency in developing solutions for their company after completing the course. 3. Achievement-based certificate based on test results to showcase skill levels. 4. Understanding and application of Associative Data Modelling concepts. 5. Knowledge of different Model Schema types. 6. Ability to code Joins and understanding of how they work. 7. Understanding of how the Associative Data Model is stored internally. 8. Skills to load and connect to different data sources, such as SQL and Web. 9. Proficiency in coding scripts for ETL data processing. 10. Ability to code calculations using Set Analysis. 11. Knowledge of coding What-If analysis. 12. Hands-on practice through 14 assignment projects followed by quizzes to test knowledge. 13. Understanding of charting best practices. 14. Knowledge of advanced calculation functions like Aggr(), Rank(), and IntervalMatch(). 15. Ability to create various types of charts, including Gauges, Pie, Bar, Combo, Line, Tornado, Heat Maps, and Scatter. 16. Skills in performance tuning for charts and scripting. 17. Ability to add actions and conditions to charts and other objects. 18. Application of new skills to QlikSense, such as Modelling and Set Analysis. 19. Access to over 150 quiz test questions to check learning progress. 20. Availability of real-world sample data for download and analysis. 21. Guidance on installing QlikView 12 and SQLServer Express for connecting to sample SQL databases. Who will benefit from this course? This course will benefit individuals who are interested in or working in the field of data analysis and visualization. It is particularly useful for professionals who want to enhance their skills in using QlikView software. Specific professions that will benefit from this course include data analysts, business intelligence professionals, data scientists, and data engineers. By completing this course, individuals will be able to handle interview questions related to QlikView with ease, making them more competitive in the job market. They will also be able to develop solutions for their companies using QlikView, improving their productivity and efficiency. The achievement-based certificate received upon completion of the course will allow individuals to showcase their skill levels to the world, enhancing their professional reputation. The course covers various topics such as associative data modeling concepts, different model schema types, and how to code joins. This knowledge is essential for individuals working with data and databases. Participants will also learn how the associative data model is stored internally, providing them with a deeper understanding of the software's functionality. The course teaches individuals how to load and connect to different data sources, such as SQL and web, enabling them to work with diverse datasets. Participants will also learn how to code scripts for ETL (Extract, Transform, Load) data processing, a crucial skill for data analysts and engineers. The course covers advanced topics such as set analysis, what-if analysis, and advanced calculation functions like Aggr(), Rank(), and IntervalMatch(). These skills are valuable for individuals working with complex data analysis tasks. Participants will learn how to create various types of charts, including gauges, pie charts, bar charts, combo charts, line charts, tornado charts, heat maps, and scatter plots. This knowledge is essential for individuals involved in data visualization. The course also covers performance tuning for charts and scripting, allowing individuals to optimize their QlikView applications for better performance. Participants will learn how to add actions and conditions to charts and other objects, enhancing the interactivity and functionality of their visualizations. The course also includes content on applying the learned skills to QlikSense, another popular data visualization tool. With over 150 quiz test questions and 14 assignment projects, participants will have ample opportunities to practice and test their knowledge. Real-world sample data is available for download and analysis, providing participants with hands-on experience. Finally, the course includes instructions on installing QlikView 12 and SQLServer Express, enabling participants to connect to sample SQL databases for further practice.