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Microsoft Power BI Desktop Masterclass [2023 EDITION]

سرفصل های دوره

Master Microsoft Power BI Desktop, Create Interactive Dashboards & Learn Advanced Analytics with DAX and Power Query


1. Getting Started with Power BI Course
  • 1. Introduction
  • 2. Important Notes for New Students.html
  • 3.1 Project Files.zip
  • 3. Download Course Resources.html
  • 4. Setting Expectations

  • 2. Introducing Power BI
  • 1. A Tour of Power BI
  • 2. Microsoft Power BI Tools
  • 3. Install Power BI Desktop
  • 4. Launch Power BI Desktop
  • 5. Introducing Power BI.html

  • 3. Power BI Data Sources
  • 1. Introduction
  • 2.1 median age years.xlsx
  • 2. Getting Data from Excel file
  • 3.1 gdp per capita yearly growth.csv
  • 3. Getting Data from csv file
  • 4.1 List of countries by GDP (PPP).html
  • 4. Connect to a Web Data Source
  • 5. Power BI Data Sources.html

  • 4. Design Your First Dashboard with Power BI
  • 1. Introduction
  • 2.1 EmployeeData.xlsx
  • 2. Getting your Data
  • 3. Getting familiar with the Power BI Interface
  • 4. Adding Stacked Column Chart & Pie Chart
  • 5. Adding Interactions with Visuals
  • 6. Line Charts & Drill Down
  • 7.1 gettingstarted final v2.zip
  • 7.2 gettingstarted final.zip
  • 7. Matrix & Card Titles

  • 5. Power Query Transforming & Shaping Data
  • 1.1 mygdp.zip
  • 1. Using the Power Query Editor
  • 2. Reducing Rows & Extracting Data
  • 3. Filtering, Setting Data Type and Replacing Values
  • 4. Unpivoting Columns
  • 5. Transforming Columns
  • 6.1 rank state 2023 population.html
  • 6. PROJECT US Population Data Analysis with Power BI Part 1
  • 7. PROJECT US Population Data Analysis with Power BI Part 2
  • 8. Power Query Transforming & Shaping Data.html

  • 6. Power Query Combining & Merging Data
  • 1.1 Continents.xlsx
  • 1.2 GrowthRate.xlsx
  • 1. Combining Multiple Tables
  • 2. Appending Data to a Single Query
  • 3. Index Column & Cleaning Data
  • 4. Model Relationships
  • 5.1 all countries.zip
  • 5. Merging Data
  • 6.1 coffeechain.zip
  • 6. PROJECT Create a Sales Dashboard Part1
  • 7.1 coffeechain final.zip
  • 7. PROJECT Create a Sales Dashboard Part2
  • 8. Power Query Combining & Merging Data.html

  • 7. Reports, Visualizations, Filters and Q&A
  • 1.1 all countries.zip
  • 1. The Report View
  • 2. Format Visualizations
  • 3. Cards, Tables and Matrix
  • 4. Conditional Formatting
  • 5. Title Formatting
  • 6. Using Slicers
  • 7. Filter Reports and Pages
  • 8. Q&A Create Visuals by Typing a Normal Sentence
  • 9. Publish from Power BI Desktop
  • 10. Reports, Visualizations, Filters and Q&A.html

  • 8. Data Model Tour
  • 1. Data Model Section Overview
  • 2. The Basics of Data Modeling
  • 3. Getting Data & Setting up the Data Model
  • 4. Relationships
  • 5. Data Model Tour.html

  • 9. DAX Functions
  • 1. Create your first Measure using SUM Function
  • 2. DAX syntax
  • 3. Add a Matrix using Measures
  • 4. Count Products with COUNTA and COUNTROWS
  • 5. Edit or Delete Measures
  • 6. Find Empty Fields with COUNTBLANK
  • 7. DISTINCTCOUNT Function
  • 8. PROJECT Build DAX understanding (Part1)
  • 9. PROJECT Build DAX understanding (Part2)
  • 10. DAX Functions.html

  • 10. Calculated Columns & Measures
  • 1. Add a Calculated Column
  • 2. Explicit vs. Implicit Measures
  • 3. Summarization Methods
  • 4. DIVIDE Function
  • 5. SUMX Function
  • 6. Date & Time DAX Functions
  • 7. PROJECT Build DAX understanding (Part3)
  • 8. PROJECT Build DAX understanding (Part4)
  • 9. PROJECT Build DAX understanding (Part5)
  • 10. PROJECT Build DAX understanding (Part6)
  • 11. Calculated Columns & Measures.html

  • 11. Logical & Filter Functions
  • 1. FIND Function
  • 2. IF Function
  • 3. OR Function
  • 4. The Powerful CALCULATE Function
  • 5. SWITCH Function
  • 6. DEMO Story-telling with Power BI Part1
  • 7. DEMO Story-telling with Power BI Part2
  • 8. Logical & Filter Functions.html

  • 12. Milestone Project Create a Budget vs Actual Dashboard
  • 1. Introduction
  • 2. Designing the Relationships between Tables
  • 3. Loading our Data into Power Query Editor
  • 4. Data Cleanup Process
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    مدت زمان: 410 دقیقه
    تاریخ انتشار: ۲۰ شهریور ۱۴۰۲
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