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Power BI Course Outlines:
1.1. Getting Started.
● What is power BI?
● Installing Power BI
● Introduction to the course project.
2.1. Connect and transform data. 2S
● Data connection: learn the types of data connectors and best practices.
● Basic table transformations
● Introduction to M language.
● Text-specific, number-specific, and date-specific tools
● Index and conditional columns
● Merging & appending queries
3.1. Create a data model. 1s
● Schema types (e.g., Star and Snowflake)
● Creating table relationships
● Relationship cardinality
● Managing and editing relationships
● Active vs. inactive relationships
● Connecting multiple data tables
4.1. Add calculated fields with DAX. 3S
● What DAX is and its best practices?
● Calculated columns.
● Measures.
● Filter context examples.
● Step-by-step measure calculation
● DAX syntax and operators
● Common DAX function categories
5.1. Visualize data & Data Storytelling 6S
● Adding simple objects
● Inserting basic to advanced charts and visuals
● Importing Custom Visuals
● Formatting options
● Report filtering options
● Editing report interactions
● Drillthrough filters
● Report bookmarks
● Managing and viewing roles (RLS)
● Parameters
● Learn how to: QA Test, Measures Test, Graphics Test
● Making or report app meeting all the best practices of UI/UX
● Chart Selection, the white charts for different requirements.
5.1.A more in depth on DAX
The DAX engines 2S
● Scalar functions
● Table & Filter functions
● Calculated Table Joins
● Relationship functions
● Advanced Time Intelligence
● Practice Dax
● Learn how to: QA Test, Measures Test, Graphics Test
6.1. Building the course project 2S
● Getting started with the final project.
● 1-9 labs step by step practicing everything we learned.
● Learn how to: QA Test, Measures Test, Graphics Test
● Making or report app meeting all the best practices of UI/UX
Kurs Power BI

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Kurs Power BI

  • 1. Power BI Course Outlines: 1.1. Getting Started. ● What is power BI? ● Installing Power BI ● Introduction to the course project. 2.1. Connect and transform data. 2S ● Data connection: learn the types of data connectors and best practices. ● Basic table transformations ● Introduction to M language. ● Text-specific, number-specific, and date-specific tools ● Index and conditional columns ● Merging & appending queries 3.1. Create a data model. 1s ● Schema types (e.g., Star and Snowflake) ● Creating table relationships ● Relationship cardinality ● Managing and editing relationships ● Active vs. inactive relationships ● Connecting multiple data tables 4.1. Add calculated fields with DAX. 3S ● What DAX is and its best practices? ● Calculated columns. ● Measures. ● Filter context examples. ● Step-by-step measure calculation ● DAX syntax and operators
  • 2. ● Common DAX function categories 5.1. Visualize data & Data Storytelling 6S ● Adding simple objects ● Inserting basic to advanced charts and visuals ● Importing Custom Visuals ● Formatting options ● Report filtering options ● Editing report interactions ● Drillthrough filters ● Report bookmarks ● Managing and viewing roles (RLS) ● Parameters ● Learn how to: QA Test, Measures Test, Graphics Test ● Making or report app meeting all the best practices of UI/UX ● Chart Selection, the white charts for different requirements. 5.1.A more in depth on DAX The DAX engines 2S ● Scalar functions ● Table & Filter functions ● Calculated Table Joins ● Relationship functions ● Advanced Time Intelligence ● Practice Dax ● Learn how to: QA Test, Measures Test, Graphics Test 6.1. Building the course project 2S ● Getting started with the final project. ● 1-9 labs step by step practicing everything we learned. ● Learn how to: QA Test, Measures Test, Graphics Test ● Making or report app meeting all the best practices of UI/UX