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Débute 4 June 2026 05:38

Se termine 4 June 2026

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Power BI Intermediate (Live Online)

Rejoignez notre cours intermédiaire Power BI pratique et dirigé par un instructeur en ligne. Ce cours est la continuation parfaite des cours de niveau introductif comme PL-300 et Excel BI Tools pour les amateurs de Power BI. Améliorez vos compétences en maîtrisant des tâches intermédiaires courantes et en explorant les nouvelles fonctionnalité.
via CourseHorse

133 Cours


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Aperçu

Join our hands-on, online instructor-led intermediate Power BI course. This course is the perfect continuation from introductory-level courses like PL-300 and Excel BI Tools for Power BI enthusiasts.

Enhance your skills by mastering common intermediate tasks and exploring Power BI's new features.

Prerequisites:

Participants should have foundational knowledge equivalent to PL-300:

Microsoft Power BI Data Analyst or Excel BI Tools:

Power BI for Excel Users.

Course Completion:

Upon finishing this course, participants will be able to:

  • Import data from PDFs, web page regions, and file collections
  • Characterize data using profiling techniques
  • Merge mismatched datasets with fuzzy matching
  • Create custom columns using Power Query
  • Implement advanced data modeling and use time intelligence
  • Integrate custom scripts in R and Python
  • Develop KPIs and scorecards
  • Utilize advanced report and dashboard design techniques
  • Conduct basic statistical analysis within Power BI

Course Outline:

Module 1:

Intermediate Power Query

  • Importing data from PDFs and web pages
  • Obtaining tabular data and data by example
  • Using fuzzy matching for disparate datasets
  • Creating custom columns and using M script

Module 2:

Intermediate Data Modeling

  • Adding What-If Parameters, Grouping, and Binning
  • Implementing Time Intelligence and Quick Measures

Module 3:

Script Visuals

  • Creating R and Python visual scripts
  • Setting up R and Python environments

Module 4:

Advanced Report Design

  • Using and creating report themes
  • Applying conditional formatting
  • Utilizing drillthrough features and data-driven images

Module 5:

Advanced Dashboard Design

  • Applying dashboard themes and visual KPIs
  • Adding trend analysis with DAX
  • Embedding images and using DAX UNICHAR function

Module 6:

Analytics

  • Characterizing and profiling your data
  • Utilizing custom visuals for help
  • Performing moving averages, ARIMA, and linear regression
  • Conducting time series forecasting with Python

University:

Provider:

CourseHorse

Categories:

Python Courses, R Programming Courses, Data Analysis Courses, Business Intelligence Courses, DAX (Data Analysis Expressions) Courses, KPIs (Key Performance Indicators) Courses, Data Modeling Courses, Power Query Courses


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