Introduction To Microsoft Power BI

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Certificate

Dedicated Tutors

65 Videos
10.52 Hours
75 Test Questions

Introduction To Microsoft Power BI

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

10.52 Hours
65 Videos

Introduction To Microsoft Power BI

Course Description

10.52 Hours

65 Videos

Introduction To Microsoft Power BI

The Introduction to Microsoft Power BI course is designed for individuals looking to transform data into meaningful insights through interactive dashboards and reports. This course covers the fundamentals of Power BI, including data modeling, visualization, and sharing insights. Participants will learn to connect to data sources, create visualizations, and use Power BI’s features for data-driven decision-making.

Key Features:

  • Overview of Power BI: Understand Power BI components and interface.
  • Connecting to Data: Import and transform data from various sources.
  • Data Modeling: Create relationships and use DAX for calculations.
  • Visualizations: Develop bar charts, line charts, maps, and more.
  • Interactive Reports: Design reports with filters, slicers, and drill-throughs.
  • Power BI Service: Publish reports, create dashboards, and collaborate.
  • Mobile Access: Use Power BI Mobile for on-the-go data insights.
  • Data Refresh: Schedule data refreshes and manage gateways.
  • Advanced Analytics: Utilize AI visualizations and forecasting.
  • Security: Manage user roles, permissions, and data governance.
  • Integration: Integrate with Excel, SharePoint, and Teams for enhanced collaboration.

This course equips participants with the skills to use Microsoft Power BI effectively for data visualization and reporting.

Course Syllabus

Module 1 – Prepare Data

  • 1 Course Introduction
  • 2 Module 1 Introduction
  • 3 Introduction to Power BI
  • 4 Get data from various data sources
  • 5 Preview source data

Module 2 – Clean, Transform, and Load Data

  • 1 Module 2 Introduction
  • 2 DimEmployee Example
  • 3 DimEmployeeSalesTerritory Example
  • 4 DimReseller Example
  • 5 FactResellersSales Example
  • 6 ResellerSalesTargets Example
  • 7 Color Formats Example

Module 3 – Design a Data Model

  • 1 Module 3 Introduction
  • 2 Introduction to Data Modeling
  • 3 Model Relationships
  • 4 Table Configuration
  • 5 Model interface
  • 6 Quick Measures
  • 7 Many-to-many relationships
  • 8 Row-level security

Module 4 – Create Model Calculations using DAX

  • 1 Module 4 Introduction
  • 2 DAX context
  • 3 Calculated Tables
  • 4 Calculated Columns
  • 5 Managing Date Tables
  • 6 Measures
  • 7 Filter Manipulation
  • 8 Time Intelligence

Module 5 – Create Reports

  • 1 Module 5 Introduction
  • 2 Basic Report Creation
  • 3 Example Page 1
  • 4 Example Page 2
  • 5 Example Page 3
  • 6 Report Publishing
  • 7 Enhancing Reports
  • 8 Drill-Through Pages
  • 9 Conditional Formatting
  • 10 Buttons and Bookmarks

Module 6 – Create Dashboards

  • 1 Module 6 Introduction
  • 2 Dashboard Basics
  • 3 Real Time Dashboards
  • 4 Enhanced Dashboards

Module 7 – Create Paginated Reports

  • 1 Module 7 Introduction
  • 2 Introduction to Power BI Report Builder
  • 3 Report Layouts
  • 4 Report Data
  • 5 Report Tables

Module 8 – Perform Advanced Analytics

  • 1 Module 8 Introduction
  • 2 Introduction to Advanced Analytics
  • 3 Scatter Chart
  • 4 Forecast
  • 5 Decomposition Tree
  • 6 Key Influencers

Module 9 – Create and Manage Workspaces

  • 1 Introduction to Workspaces
  • 2 Working with Workspaces and the Portal

Module 10 – Create Power App Visuals

  • 1 Module 10 Introduction
  • 2 Introduction to Power Apps Visual
  • 3 Creating the App
  • 4 Basic Power Apps Concepts
  • 5 Refreshing the Report

Module 11 – Analysis Services and Power BI

  • 1 Module 11 Introduction
  • 2 Introduction to Analysis Services
  • 3 Connecting with Multidimensional Models
  • 4 Premium Workspaces and Analysis Services
  • 5 Course Wrap Up

Course Highlights

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Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

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Description

Introduction To Microsoft Power BI

The Introduction to Microsoft Power BI course is designed for individuals looking to transform data into meaningful insights through interactive dashboards and reports. This course covers the fundamentals of Power BI, including data modeling, visualization, and sharing insights. Participants will learn to connect to data sources, create visualizations, and use Power BI’s features for data-driven decision-making.

Key Features:

  • Overview of Power BI: Understand Power BI components and interface.
  • Connecting to Data: Import and transform data from various sources.
  • Data Modeling: Create relationships and use DAX for calculations.
  • Visualizations: Develop bar charts, line charts, maps, and more.
  • Interactive Reports: Design reports with filters, slicers, and drill-throughs.
  • Power BI Service: Publish reports, create dashboards, and collaborate.
  • Mobile Access: Use Power BI Mobile for on-the-go data insights.
  • Data Refresh: Schedule data refreshes and manage gateways.
  • Advanced Analytics: Utilize AI visualizations and forecasting.
  • Security: Manage user roles, permissions, and data governance.
  • Integration: Integrate with Excel, SharePoint, and Teams for enhanced collaboration.

This course equips participants with the skills to use Microsoft Power BI effectively for data visualization and reporting.

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