
Shape data with Power Query Editor using Excel as data layer, merge customer and sales data, build a Power Pivot model with DAX, publish top ten customers to app.powerbi.com.
Shape data with Power Query Editor from MySQL and Excel, build a semantic model, and create reports in Power BI Desktop. Learn data types, null handling, and total salary calculations.
Learn how Power BI Desktop integrates Power Query, Power Pivot, and Power View to connect multiple data sources to a semantic model and drive many reports.
connect to a sql server, import a database and tables, shape data in the power query editor, apply filters, and publish the report to the workspace in power bi.
Introduction
What is Power Platform?
What are the products of Power Platform?
Power BI
Power Apps
Power Automate
Power Virtual Agents
What are the different BI tools available?
Why Power BI? Why not other BI tools like (Tableau/OBIEE/Cognos/SAP-BO/ ... etc)
What are the Products of Power BI (Power BI Desktop/ Power BI Pro / Power BI Premium / Power BI Mobile / Power BI Embedded / Power BI Report Server)
What is Power BI Desktop?
What is Power Query ?
What is Power Pivot ?
What is Power View ?
What is Power Maps ?
What is Power BI Service?
What is Power BI Mobile?
What is M-Language?
What is DAX?
Data Warehousing Concepts
What is OLTP?
What is Data warehouse
Difference between OLTP Vs OLAP
Difference among Primery Key/Foriegn Key/Surrogate Key
Types of Tables
Dimension Tables
Fact Tables
Types of Schemas
Star Schema
Snow Flake Schema
Mixed Schema
Power BI Desktop
Introduction to Power BI Desktop
Power BI Desktop Components
Power Query Editor
Power Pivot
Power View
Power BI Desktop - Power Query Editor
Connecting to new Source
File Connections (Excel,CSV,XML,JSON,Folder ... etc)
Connecting to Databases (MySql,MSSqlServer,Access dtatabase,...etc)
Cloud Connections(SnowFlake Database, Azure SQL Database ... etc)
Online Connections(Web,Github,Linkedin ... etc)
Types of Connections
Import
Direct
Live Connection
Importing Tables -
Basic Transformations
Changing datatypes
replacing nulls with zero
concatnating columns
Computing new columns from available columns
spliting columns
renameing columns
observing transformation steps
understanding M-Language
Computed columns/calculations
M-Language
About Let and In
Single Line comments in M-language
Multi line comments in M-language
How to write M-language code in multiple lines
Change Steps in Query settings and observe in M-language
Change M-language and observe Query Setting Steps
Build Query using M-Language Script from Blank Query
Combine Queries
Append
Learn SQL Queries of union ,Union all,Minus
Prove Power BI Append is equal to Union all