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LinkedIn Learning

Power BI Mistakes to Avoid

via LinkedIn Learning

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Overview

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By avoiding common Power BI mistakes, you can save time and grow your skills faster. Learn the top mistakes that you should avoid in Power BI.

Syllabus

Introduction
  • Improve your Power BI skills
1. Next-Level Power BI
  • Main challenges of Power BI?
  • Systems thinking vs. ad hoc analysis
  • Being an effective analyst
  • Keys to effective data visualization
2. 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
3. Modeling Data
  • Create a lookup table
  • Use star schema
  • Eliminate two-way relationships
  • Apply user-friendly value replacements
  • Define the right level of granularity
4. 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

Taught by

John David Ariansen and Madecraft

Reviews

4.5 rating at LinkedIn Learning based on 46 ratings

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