Power Bi Developer (Power Bi,Dax,Power Query,Datamodelling)
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.73 GB | Duration: 10h 21m
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.73 GB | Duration: 10h 21m
Power BI Hands-on learning experience- Data Analytics, Data Visualization,DAX,Power Query,Datamodelling,Databases
What you'll learn
Install Power BI Desktop
Connect to multiple data sources
Clean, transform and load data
Analyse data
Visualize data
Create measures
Create paginated reports
Build dashboards
Requirements
No experience required
Required software installation is covered in the course.
Description
Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data might be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what's important, and share that with anyone or everyone you want.Power BI consists of several elements that all work together, starting with these three basics:A Windows desktop application called Power BI Desktop.An online software as a service (SaaS) service called the Power BI service.Power BI Mobile apps for Windows, iOS, and Android devices.These three elements—Power BI Desktop, the service, and the mobile apps—are designed to let you create, share, and consume business insights in the way that serves you and your role most effectively. Beyond those three, Power BI also features two other elements:Power BI Report Builder, for creating paginated reports to share in the Power BI service. Read more about paginated reports later in this article.Power BI Report Server, an on-premises report server where you can publish your Power BI reports, after creating them in Power BI DesktopHow you use Power BI can be based on which feature or service of Power BI is the best tool for your situation. For example, you can use Power BI Desktop to create reports for your own team about customer engagement statistics and you can view inventory and manufacturing progress in a real-time dashboard in the Power BI service. You can create a paginated report of mailable invoices, based on a Power BI dataset. Each part of Power BI is available to you, which is why it's so flexible and compelling.One common workflow in Power BI begins by connecting to data sources in Power BI Desktop and building a report. You then publish that report from Power BI Desktop to the Power BI service, and share it so business users in the Power BI service and on mobile devices can view and interact with the report.
Overview
Section 1: Power BI Setup
Lecture 1 Introduction
Lecture 2 What is Power BI
Lecture 3 What is Power BI Desktop
Lecture 4 Install Power BI Desktop
Lecture 5 Exploring Power BI Desktop Interface
Lecture 6 Microsoft 365 Setup
Lecture 7 Getting started with Microsoft 365
Lecture 8 Creating a new user account in Microsoft 365
Section 2: Connecting to Data Sources
Lecture 9 Introduction
Lecture 10 Connecting to online data sources
Lecture 11 Connecting to NOSQL Database
Lecture 12 Getting data into Power BI Desktop
Lecture 13 Create and save a new Power BI Desktop file
Lecture 14 Set Power BI Desktop options
Lecture 15 Get data from SQL Server
Lecture 16 Preview SQL Server queries
Lecture 17 Getting data from files
Lecture 18 Get data from a CSV file
Lecture 19 Get additional data from a CSV file
Lecture 20 Connect to data in a database
Lecture 21 Connect to data in Power Platform
Lecture 22 Connect to Azure SQL Database
Lecture 23 Data Source Settings
Lecture 24 Storage Modes
Lecture 25 Change the source file
Lecture 26 Selecting a storage mode
Section 3: Power BI Overview
Lecture 27 Introduction
Lecture 28 Power BI Overview : Part 1
Lecture 29 Power BI Overview : Part 2
Lecture 30 Power BI Overview : Part 3
Lecture 31 Parts of Power BI
Lecture 32 Power BI Building blocks
Lecture 33 Exploring Power BI Service
Section 4: Connect & Transform Online Data
Lecture 34 Connect to Web Data
Lecture 35 Clean & transform data : Part 1
Lecture 36 Clean & transform data : Part 2
Lecture 37 Combine data sources
Lecture 38 Creating Data Visuals : Part 1
Lecture 39 Creating Data Visuals : Part 2
Lecture 40 Publish report to Power BI Service
Section 5: Power BI | Databases Interaction
Lecture 41 Download SQL Server
Lecture 42 SQL Server Installation
Lecture 43 Installing SQL Server Management Studio
Lecture 44 Connect to SQL Server with SSMS
Lecture 45 Install Database
Lecture 46 Restore AdventureWorksDW2020 Database
Lecture 47 Connecting to SQL Server Database with Power BI Desktop
Lecture 48 Install PostgreSQL
Lecture 49 Connecting to PostgreSQL Database Server : Part 1
Lecture 50 Connecting to PostgreSQL Database Server : Part 2
Lecture 51 Download and load sample database
Lecture 52 Connect to PostgreSQL Databases
Lecture 53 Connect to PostgreSQL with Power BI Desktop - Part 1
Lecture 54 Connect to PostgreSQL with Power BI Desktop - Part 2
Lecture 55 Importing and Transforming Data from an Access Database File
Section 6: Clean, transform, and load SQL Server data in Power BI
Lecture 56 Shaping initial data
Lecture 57 Configure the Salesperson query
Lecture 58 Configure the SalespersonRegion query
Lecture 59 Configure the Product query
Lecture 60 Configure the Reseller query
Lecture 61 Configure the Region query
Lecture 62 Configure the Sales query
Lecture 63 Configure the Targets query
Lecture 64 Configure the ColorFormats query
Lecture 65 Update the Product query
Lecture 66 Update the ColorFormats query
Section 7: Data Modelling
Lecture 67 What is Data Modelling
Lecture 68 Create Model Relationships
Lecture 69 Configure the Product table
Lecture 70 Configure the Region table
Lecture 71 Configure the Reseller table
Lecture 72 Configure the Sales table
Lecture 73 Bulk update properties
Lecture 74 Review the model interface
Lecture 75 Create quick measures
Lecture 76 Create a many-to-many relationship
Lecture 77 Relate the Targets Table
Lecture 78 Enforce row-level security
Section 8: Introduction to DAX In Power BI Desktop
Lecture 79 What is DAX
Lecture 80 Create the Salesperson Calculated table
Lecture 81 Create the Date calculated table
Lecture 82 Create calculated columns
Lecture 83 Complete the Date table
Lecture 84 Mark the Date table
Lecture 85 Create simple Measures
Lecture 86 Create additional measures
Lecture 87 Time Intelligence
Lecture 88 Create a matrix visual
Lecture 89 Manipulate filter context
Lecture 90 Create a YTD measure
Lecture 91 Create a YoY growth measure
Lecture 92 Publish Power BI Desktop File
Section 9: Building Reports in Power BI
Lecture 93 Create a new file
Lecture 94 Create a live connection
Lecture 95 Design page 1
Lecture 96 Design page 2
Lecture 97 Design page 3
Lecture 98 Publish report
Lecture 99 Explore the report
Lecture 100 Configure Sync Slicers
Lecture 101 Configure drill through page
Lecture 102 Add Conditional Formatting
Lecture 103 Add Bookmarks to Report
Lecture 104 Add Buttons to Report
Lecture 105 Publish Updated Report
Lecture 106 Explore Updated Report
Section 10: Building Dashboards | Perform Data Analysis
Lecture 107 What are Dashboards
Lecture 108 Create a dashboard
Lecture 109 Configure an alert
Lecture 110 Refresh the dataset
Lecture 111 Create the report
Lecture 112 Connect to the Sales Analysis Dataset
Lecture 113 Create an animated scatter chart
Lecture 114 Create a forecast
Lecture 115 Work with a decomposition tree
Lecture 116 Work with key influencers
Section 11: Building Paginated Reports
Lecture 117 What are Paginated Reports
Lecture 118 Installing Power BI Report Builder
Lecture 119 Create a blank report
Lecture 120 Configure the report header
Lecture 121 Create a data source and dataset
Lecture 122 Configure the report parameter
Lecture 123 Add textboxes to report header region
Lecture 124 Add a table to the report
Lecture 125 Format the table data region
Lecture 126 Finalize the report design
Beginners to Power BI