Power BI Intermediate (Live Online)

via CourseHorse

CourseHorse

42 Courses


course image

Overview

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

Syllabus


Taught by


Tags