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The Complete QlikView Boot Camp

Learn QlikView for Data Analytics - Designer & Developer step by step. Real-World Data Analytics. Real data included.

  1. Topics
  2. Business
  3. QlikView Mastery

The Complete QlikView Boot Camp

InstructorPaul Scotchford
Duration15h 2m
Students31.4K
Rating4.5 (7,121)
Sponsored
Price
$17.99
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Comidoc Analysis

Advanced QlikView Development through Mission-Based Practice

Strengths

Rigorous Data Modeling and Scripting

Instruction covers essential architectural concepts including Star and Snowflake schemas, as well as complex ETL workflows like incremental loads and Slowly Changing Dimensions.

Structured Hands-on Learning

The course utilizes a mission-style approach where homework assignments are paired with dedicated solution videos and quizzes to verify practical skill acquisition.

Limitations

Instructional Gaps and Version Uncertainty

One signal indicates that some objects may be used in lectures without a clear explanation of their creation. Additionally, there is uncertainty regarding how the material aligns with current software iterations; one review from before the displayed update date notes that changes in the software may affect how some content functions, though the update label does not prove a correction has been made.

Best suited to

  • Aspiring BI developers
  • Data analysts seeking QlikView expertise
  • Learners who prefer mission-based exercises

Less suited to

  • Users requiring absolute certainty of version compatibility
  • Learners who need step-by-step object creation for every visual element

Comidoc Score

7.1/10

Recommended
Defined audience

Comidoc verdict

The learning path moves from fundamental environment setup through complex data modeling and advanced calculation techniques like Set Analysis. The curriculum is heavily reinforced by a series of practical assignments that simulate real-world tasks, providing a clear way to validate technical progress.

A steady instructional pace is supported by these structured exercises, though learners should be aware of potential gaps where objects are utilized without explicit creation steps. There is also an uncertain signal regarding the alignment of these lessons with the most recent software updates; one review from before the displayed update date notes that changes in the software may affect how some content functions.

This trade-off makes sense for developers looking for a deep dive into QlikView's associative engine and ETL capabilities through structured practice.

Score breakdown

Curriculum depth
8.0

The curriculum covers essential architectural concepts including Star/Snowflake schemas and advanced functions like Aggr().

Applied learning
8.8

Learning is driven by numerous homework assignments and quizzes that follow a consistent practice pattern.

Clarity & experience
5.8

One signal suggests that while the pace is steady, certain objects are utilized without explicit creation steps.

Currency & reliability
5.0

One signal suggests the content may not fully reflect current software changes.

Audience fit
7.3

The curriculum aligns well with the goal of learning QlikView from scratch through technical scripting and modeling.

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