Certificate in Qlik Sense Analytics Development

Real world data scenarios for Qlik Sense app development

4.57 (5112 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

Business Intelligence & Analytics development

Skills needed to become a data analytics & visualisation engineer

Identify KPI's,metrics and dimensions from your business requirements

Design and build data visualisations using key Qlik Sense features

Understand the associative data model and how to load data to it

Resolve data integrity and modelling issues like synth keys and circular references

Code expressions for metrics and dimensions, we learn set analysis coding too

Explore downloadable source code & data during your development work here

Course Gallery

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Certificate in Qlik Sense Analytics Development – Screenshot 4 — Screenshot 4 – Certificate in Qlik Sense Analytics Development

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

Udemy's Certificate in Qlik Sense Analytics Development is a strong offering for those interested in mastering Qlik Sense. The course's strengths include its real-world approach, extensive curriculum, and quizzes that solidify understanding of the material. However, there are notable areas for improvement, such as outdated content, varying sound levels, and inconsistent pacing during lessons. Despite these challenges, those willing to persevere will come away with a solid foundation in Qlik Sense, setting them on a course towards success in their data analytics journey.

What We Liked

Comprehensive curriculum covering Qlik Sense analytics development from identifying KPIs to coding expressions
Real-world data scenarios offering practical experience in app development
Instructor's availability to answer questions providing personalized support
Well-structured content with useful quizzes to reinforce the concepts learned

Potential Drawbacks

Some outdated material, including interface elements of extensions and software used
Variations in sound levels between intro and course videos can be jarring
Pace of instruction may sometimes be too fast for beginners, especially during scenario-based learning
Theory portion could benefit from more practical examples and greater depth in data modelling