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Power BI Mistakes to Avoid

Power BI Mistakes to Avoid

58mIntermediate2025-11-06

Authors

Madecraft

Madecraft

Full-Service Learning Content Company

Course details

As a data expert using Power BI, your goal is to always be growing your skills. However, and regardless of if you even realize it, there are mistakes you're likely making that keep you from moving to the next level. In this course, learn the top Power BI mistakes: from misunderstanding business problems and using the wrong models to misaligning data and more.

Whether you're new to Power BI or a seasoned expert, there are key mistakes you'll want to avoid in order to get the most out of Power BI, as well as the data you're working with. Packed with short actionable tips, this course covers all aspects of extracting, transforming, loading, and visualizing your data. Learn how to be more effective at analyzing data, eliminate unnecessary steps, and identify the appropriate level of granularity. Along the way, gather insights on using slicers, avoiding common mistakes in charts, eliminating two-way relationships, and more.

Learning objectives
Become a more effective analyst.
Apply key concepts to effective data visualization.
Remove unnecessary rows and columns.
Eliminate two-way relationships.
Visualize time series data.
Identify when to use Top-N analysis.
Use slicers effectively to improve usability.

Concepts

Introduction

  • Improve your Power BI skills

Next-Level Power BI

  • Main challenges of Power BI
  • Systems thinking vs. ad hoc analysis
  • Being an effective analyst
  • Keys to effective data visualization

Connecting to Data

  • Don't pull in too much data
  • Eliminate extra applied steps
  • Remember to profile your data sources
  • Remove unnecessary rows and columns

Modeling Data

  • Create a lookup table
  • Use star schema
  • Eliminate two-way relationships
  • Apply user-friendly value replacements
  • Define the right level of granularity

Visualizing and Analyzing Data

  • Visualizing time series data
  • Use groups to break up the analysis
  • Use slicers to improve usability
  • Use a custom tooltip to add detail
  • Be careful with pie charts
  • When to use Top-N analysis
  • The full potential of visualizations
  • Use color sparingly

Conclusion

  • Additional resources

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