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Excel Business Intelligence: Power Pivot, DAX and Data Modeling

Offered By: LinkedIn Learning

Tags

Business Intelligence Courses Data Analysis Courses Data Visualization Courses Microsoft Excel Courses DAX (Data Analysis Expressions) Courses Data Modeling Courses Power Query Courses Power Pivot Courses ETL Courses

Course Description

Overview

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Develop fundamental, in-demand business intelligence skills using Microsoft Excel's Power Query, Power Pivot, and Data Analysis Expressions (DAX).

Syllabus

Getting Started
  • Welcome
  • Important: Versions and compatibility
  • Download the course exercise files
  • Set expectations
1. Intro to the Power Excel Series
  • The power Excel workflow
  • The best thing to happen to Excel in 20 years
  • When to use Power Query and Power Pivot in Excel
2. Power Query
  • Power Query introduction
  • Meet Power Query (known as Get & Transform)
  • The Query Editor
  • Options for loading data in Excel
  • Basic Power Query table transformations
  • Text-specific query editing tools
  • Number-specific query editing tools
  • Date-specific query editing tools
  • Create a rolling calendar with Power Query
  • Add index and conditional columns with Power Query
  • Group and aggregate data with Power Query
  • Modify Excel workbook queries
  • Merge queries
  • Append queries
  • Connect Excel to a folder of files
  • Excel Power Query best practices
  • Pivot and unpivot data with Power Query
3. Data Modeling 101
  • Data modeling introduction
  • Meet the Excel data model
  • Data versus diagram view
  • Database normalization
  • Data tables versus lookup tables
  • Relationships versus merged tables
  • Create table relationships
  • Modify table relationships
  • Active versus inactive relationships
  • Relationship cardinality
  • Connect multiple data tables
  • Filter direction
  • Hide fields from client tools
  • Define hierarchies
  • Data model best practices
4. Power Pivot and DAX 101
  • Introduction to Power Pivot and DAX
  • Create a Power Pivot table
  • Power Pivots versus normal pivots
  • Introduction to Data Analysis Expressions (DAX)
  • Calculated columns
  • DAX measures
  • Create implicit measures
  • Create explicit measures (AutoSum)
  • Create explicit measures (Power Pivot)
  • Understand filter context
  • Step-by-step measure calculation
  • Recap: Calculated columns versus measures
  • Power Pivot best practices
5. Common DAX Functions
  • Introduction to DAX functions
  • DAX formula syntax and operators
  • Common DAX function categories
  • Basic math and stats functions
  • COUNT, COUNTA, DISTINCTCOUNT, and COUNTROWS
  • Logical functions (IF, AND, and OR)
  • Switch and Switch (TRUE)
  • Text functions
  • The CALCULATE function
  • Add filter context with FILTER: Part 1
  • Add filter context with FILTER: Part 2
  • Remove filter context with ALL
  • Join data with RELATED
  • Iterator ("X") functions: SUMX
  • Iterator ("X") functions: RANKX
  • Basic date and time functions
  • Time intelligence formulas
  • Speed and performance considerations
  • DAX best practices
  • Final section
  • Data visualization options
  • Wrapping up
Conclusion
  • Next steps

Taught by

Maven Analytics and Chris Dutton

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