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Power BI - Data Analytics Essentials with Power BI

Get Started Quickly with Visualization, Data Prep and DAX on Power BI

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Power BI - Data Analytics Essentials with Power BI

InstructorAhmed Oyelowo

Duration4h 56m

Students94K

Rating4.6 (7,205)

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Comidoc Analysis

Core Power BI workflows from data preparation to visualization

Strengths

Technical Modeling Depth

Instruction covers essential data modeling concepts, including the extraction of fact and dimension tables and resolving relationship issues.

DAX Implementation

The curriculum includes practical DAX functions such as CALENDARAUTO, CALCULATE, and time intelligence functions like SAMEPERIODLASTYEAR.

Limitations

Interface Mismatch

Learner signals suggest that walkthroughs may use an outdated version of Power BI, where column names and locations have changed.

Instructional Variability

One signal indicates that the instructor's accent can make following the lessons difficult for some learners.

Best suited to

Power BI beginners
Aspiring data analysts
Learners seeking to understand fact and dimension modeling

Less suited to

Users requiring a perfectly current interface walkthrough
Learners sensitive to instructor accents

Comidoc Score

6.5/10

Worth considering

Beginner-friendly

Comidoc verdict

The learning path moves from data preparation and Excel consolidation into core modeling and DAX expression writing, concluding with report visualization. This instruction in data normalization and relationship management provides a strong conceptual foundation for beginners.

However, the practical application faces challenges due to an aging interface. Although some lessons address UI updates, multiple signals suggest that many walkthroughs do not align perfectly with the current Power BI version, requiring learners to adapt independently.

This course is best suited for those who prioritize understanding the logic of data modeling and DAX over having a perfectly synchronized visual experience.

Score breakdown

Curriculum depth: 8.8
Applied learning: 7.3
Clarity & experience: 5.0
Currency & reliability: 3.5
Audience fit: 5.8

The curriculum aligns with the target of beginners through its focus on fundamental data preparation and modeling.