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Power BI Mistakes to Avoid (2021)

Offered By: LinkedIn Learning

Tags

Microsoft Power BI Courses Business Intelligence Courses Data Analysis Courses Data Visualization Courses Data Modeling Courses

Course Description

Overview

Discover how to avoid key mistakes in Microsoft Power BI so you can save time and grow your skills.

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

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