Introduction to Microsoft Power BI

Introduction to Microsoft Power BI, available at $54.99, has an average rating of 3.55, with 65 lectures, 1 quizzes, based on 10 reviews, and has 28 subscribers.

You will learn about Learn the methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. Learn how to access and process data from a range of data sources including both relational and non-relational data. Learn how to manage and deploy reports and dashboards for sharing and content distribution. Understand the intersections between Power BI and Microsoft’s enterprise-level data modeling and analysis platform, SQL Server Analysis Services. This course is ideal for individuals who are Students who want to learn data analysis and reporting. or Data analysts and business intelligence professionals who want to create data models before disseminating reports throughout the organization. It is particularly useful for Students who want to learn data analysis and reporting. or Data analysts and business intelligence professionals who want to create data models before disseminating reports throughout the organization.

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Summary

Title: Introduction to Microsoft Power BI

Price: $54.99

Average Rating: 3.55

Number of Lectures: 65

Number of Quizzes: 1

Number of Published Lectures: 65

Number of Published Quizzes: 1

Number of Curriculum Items: 66

Number of Published Curriculum Objects: 66

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn the methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
Learn how to access and process data from a range of data sources including both relational and non-relational data.
Learn how to manage and deploy reports and dashboards for sharing and content distribution.
Understand the intersections between Power BI and Microsoft’s enterprise-level data modeling and analysis platform, SQL Server Analysis Services.

Who Should Attend

Students who want to learn data analysis and reporting.
Data analysts and business intelligence professionals who want to create data models before disseminating reports throughout the organization.

Target Audiences

Students who want to learn data analysis and reporting.
Data analysts and business intelligence professionals who want to create data models before disseminating reports throughout the organization.

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. This course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI. Power BI is a member of the Power Platform. Power Apps is another component that enables everyone to build and use apps that connect to business data. This course will show you how to use the Power Apps visual to pass context-aware data to a canvas app, which updates in real-time as you make changes to your report. This will allow your app users to derive business insights and take actions from right within their Power BI reports and dashboards. Finally, this course will explore the intersections between Power BI and Microsoft’s enterprise-level data modeling and analysis platform, SQL Server Analysis Services.

Module 1 – Prepare Data

1.1 Course Introduction

1.2 Module 1 Introduction

1.3 Introduction to Power BI

1.4 Get data from various data sources

1.5 Preview source data

Module 2 – Clean, Transform, and Load Data

2.1 Module 2 Introduction

2.2 DimEmployee Example

2.3 DimEmployeeSalesTerritory Example

2.4 DimReseller Example

2.5 FactResellersSales Example

2.6 ResellerSalesTargets Example

2.7 Color Formats Example

Module 3 – Design a Data Model

3.1 Module 3 Introduction

3.2 Introduction to Data Modeling

3.3 Model Relationships

3.4 Table Configuration

3.5 Model interface

3.6 Quick Measures

3.7 Many-to-many relationships

3.8 Row-level security

Module 4 – Create Model Calculations using DAX

4.1 Module 4 Introduction

4.2 DAX context

4.3 Calculated Tables

4.4 Calculated Columns

4.5 Managing Date Tables

4.6 Measures

4.7 Filter Manipulation

4.8 Time Intelligence

Module 5 – Create Reports

5.1 Module 5 Introduction

5.2 Basic Report Creation

5.3 Example Page 1

5.4 Example Page 2

5.5 Example Page 3

5.6 Report Publishing

5.7 Enhancing Reports

5.8 Drill-Through Pages

5.9 Conditional Formatting

5.10 Buttons and Bookmarks

Module 6 – Create Dashboards

6.1 Module 6 Introduction

6.2 Dashboard Basics

6.3 Real Time Dashboards

6.4 Enhanced Dashboards

Module 7 – Create Paginated Reports

7.1 Module 7 Introduction

7.2 Introduction to Power BI Report Builder

7.3 Report Layouts

7.4 Report Data

7.5 Report Tables

Module 8 – Perform Advanced Analytics

8.1 Module 8 Introduction

8.2 Introduction to Advanced Analytics

8.3 Scatter Chart

8.4 Forecast

8.5 Decomposition Tree

8.6 Key Influencers

Module 9 – Create and Manage Workspaces

9.1 Introduction to Workspaces

9.2 Working with Workspaces and the Portal

Module 10 – Create Power App Visuals

10.1 Module 10 Introduction

10.2 Introduction to Power Apps Visual

10.3 Creating the App

10.4 Basic Power Apps Concepts

10.5 Refreshing the Report

Module 11 – Analysis Services and Power BI

11.1 Module 11 Introduction

11.2 Introduction to Analysis Services

11.3 Connecting with Multidimensional Models

11.4 Premium Workspaces and Analysis Services

11.5 Course Wrap Up

Course Curriculum

Chapter 1: Module 1 – Prepare Data

Lecture 1: 1.1 Course Introduction

Lecture 2: 1.2 Module 1 Introduction

Lecture 3: 1.3 Introduction to Power BI

Lecture 4: 1.4 Get data from various data sources

Lecture 5: 1.5 Preview source data

Chapter 2: Module 2 – Clean, Transform, and Load Data

Lecture 1: 2.1 Module 2 Introduction

Lecture 2: 2.2 DimEmployee Example

Lecture 3: 2.3 DimEmployeeSalesTerritory Example

Lecture 4: 2.4 DimReseller Example

Lecture 5: 2.5 FactResellersSales Example

Lecture 6: 2.6 ResellerSalesTargets Example

Lecture 7: 2.7 Color Formats Example

Chapter 3: Module 3 – Design a Data Model

Lecture 1: 3.1 Module 3 Introduction

Lecture 2: 3.2 Introduction to Data Modeling

Lecture 3: 3.3 Model Relationships

Lecture 4: 3.4 Table Configuration

Lecture 5: 3.5 Model interface

Lecture 6: 3.6 Quick Measures

Lecture 7: 3.7 Many-to-many relationships

Lecture 8: 3.8 Row-level security

Chapter 4: Module 4 – Create Model Calculations using DAX

Lecture 1: 4.1 Module 4 Introduction

Lecture 2: 4.2 DAX context

Lecture 3: 4.3 Calculated Tables

Lecture 4: 4.4 Calculated Columns

Lecture 5: 4.5 Managing Date Tables

Lecture 6: 4.6 Measures

Lecture 7: 4.7 Filter Manipulation

Lecture 8: 4.8 Time Intelligence

Chapter 5: Module 5 – Create Reports

Lecture 1: 5.1 Module 5 Introduction

Lecture 2: 5.2 Basic Report Creation

Lecture 3: 5.3 Example Page 1

Lecture 4: 5.4 Example Page 2

Lecture 5: 5.5 Example Page 3

Lecture 6: 5.6 Report Publishing

Lecture 7: 5.7 Enhancing Reports

Lecture 8: 5.8 Drill-Through Pages

Lecture 9: 5.9 Conditional Formatting

Lecture 10: 5.10 Buttons and Bookmarks

Chapter 6: Module 6 – Create Dashboards

Lecture 1: 6.1 Module 6 Introduction

Lecture 2: 6.2 Dashboard Basics

Lecture 3: 6.3 Real Time Dashboards

Lecture 4: 6.4 Enhanced Dashboards

Chapter 7: Module 7 – Create Paginated Reports

Lecture 1: 7.1 Module 7 Introduction

Lecture 2: 7.2 Introduction to Power BI Report Builder

Lecture 3: 7.3 Report Layouts

Lecture 4: 7.4 Report Data

Lecture 5: 7.5 Report Tables

Chapter 8: Module 8 – Perform Advanced Analytics

Lecture 1: 8.1 Module 8 Introduction

Lecture 2: 8.2 Introduction to Advanced Analytics

Lecture 3: 8.3 Scatter Chart

Lecture 4: 8.4 Forecast

Lecture 5: 8.5 Decomposition Tree

Lecture 6: 8.6 Key Influencers

Chapter 9: Module 9 – Create and Manage Workspaces

Lecture 1: 9.1 Introduction to Workspaces

Lecture 2: 9.2 Working with Workspaces and the Portal

Chapter 10: Module 10 – Create Power App Visuals

Lecture 1: 10.1 Module 10 Introduction

Lecture 2: 10.2 Introduction to Power Apps Visual

Lecture 3: 10.3 Creating the App

Lecture 4: 10.4 Basic Power Apps Concepts

Lecture 5: 10.5 Refreshing the Report

Chapter 11: Module 11 – Analysis Services and Power BI

Lecture 1: 11.1 Module 11 Introduction

Lecture 2: 11.2 Introduction to Analysis Services

Lecture 3: 11.3 Connecting with Multidimensional Models

Lecture 4: 11.4 Premium Workspaces and Analysis Services

Lecture 5: 11.5 Course Wrap Up

Chapter 12: Introduction to Microsoft Power BI Final Practice Test

Instructors

Vision Training Systems Technology Institute Online dba
Creator of Technical and Creative Content

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 3 votes
5 stars: 2 votes

Frequently Asked Questions

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