Introduction to Microsoft Power BI
This online course training will teach you how to use Power Apps visualizations, which allow your Business Analysis users to get Business Analytics and take actions from their Power BI reports in real-time. Moreover, we’ll look into the ways that Power BI and SQL Server Analysis Services can be integrated for enterprise-level data models and analysis for business decisions.Â
Included In This Course
Closed Captions
Certificate of Completion
Course Description for Microsoft Power BI Training
Welcome to the “Introduction to Microsoft Power BI” course, designed to equip you with the essential skills and knowledge needed to harness the power of Power BI for data analysis and visualization. This comprehensive course covers everything from preparing data to performing advanced analytics, ensuring you gain a robust understanding of Power BI’s capabilities.
You will learn how to connect to various data sources, clean and transform data, and create sophisticated data models. The course also delves into using DAX (Data Analysis Expressions) for creating model calculations, generating insightful reports, and building interactive dashboards. By the end of this course, you will be able to create compelling data visualizations and perform advanced analytics to drive informed business decisions.
What You Will Learn in Microsoft Power BI Course
This course will provide you with a thorough understanding of Microsoft Power BI, from data preparation to advanced analytics. You will acquire practical skills that are immediately applicable in the workplace.
- How to prepare and connect to various data sources in Power BI.
- Data cleaning, transformation, and loading techniques.
- Designing and developing data models.
- Creating and managing model calculations using DAX.
- Generating and enhancing reports and dashboards.
- Performing advanced analytics using Power BI tools.
- Creating paginated reports and managing workspaces.
- Building Power App visuals and integrating with Analysis Services.
Who This Microsoft Power BI Course is For
This course is ideal for a wide range of professionals looking to enhance their data analysis and visualization skills using Microsoft Power BI. Whether you’re a beginner or looking to refine your expertise, this course is designed to meet your needs.
- Data Analysts and Business Analysts.
- Business Intelligence Professionals.
- IT Professionals and Database Administrators.
- Project Managers and Team Leaders.
- Anyone interested in learning Power BI from scratch.
Possible Jobs You Can Get With This Knowledge
Completing this course will open up numerous career opportunities in the field of data analysis and business intelligence. The skills you gain are highly valued across various industries.
- Data Analyst
- Business Intelligence Analyst
- Business Analyst
- Data Visualization Specialist
- Power BI Developer
- IT Consultant
Average Industry Salaries for People with Power BI Skills
Professionals with Power BI skills are in high demand and can expect competitive salaries across different roles. Here are some approximate salary ranges for various positions:
- Data Analyst: $60,000 – $90,000 per year
- Business Intelligence Analyst: $70,000 – $100,000 per year
- Business Analyst: $65,000 – $95,000 per year
- Data Visualization Specialist: $75,000 – $105,000 per year
- Power BI Developer: $80,000 – $110,000 per year
- IT Consultant: $85,000 – $120,000 per year
Get Started Today with Microsoft Power BI Training
Don’t miss out on the opportunity to enhance your data analysis skills with Microsoft Power BI. Enroll in our course today and take the first step towards mastering this powerful tool. Gain the confidence to transform raw data into meaningful insights that drive business success.
Join now and start your journey towards becoming a proficient Power BI professional. With our expert-led training, you’ll be equipped with the skills and knowledge needed to excel in the world of data analytics.
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- SSAS : Microsoft SQL Server Analysis Services
Key Term Knowledge Base: Key Terms Related to Microsoft Power BI
Understanding key terms in Microsoft Power BI is crucial for efficiently navigating and utilizing this powerful business analytics tool. These terms form the foundation of Power BI’s functionality and are essential for anyone looking to leverage Power BI for data analysis, visualization, and business intelligence.
Term | Definition |
---|---|
Power BI Desktop | A free application installed on a local computer for designing and publishing reports to the Power BI service. |
Power BI Service | A cloud-based service (SaaS) for viewing and interacting with Power BI reports. |
DAX (Data Analysis Expressions) | A formula language used in Power BI for creating custom calculations in Power BI reports. |
Power Query | A data connection technology that enables you to discover, connect, combine, and refine data across a wide variety of sources. |
Data Model | The structure of a database, including tables, relationships, and keys, used to manage and organize data. |
Visualization | The graphical representation of data in Power BI, including charts, graphs, and maps. |
Dashboard | A collection of visualizations from one or more reports, displayed on a single canvas in Power BI. |
Report | A collection of visuals, data models, and queries in Power BI. |
Slicer | A Power BI feature for filtering data in reports or visualizations. |
Dataset | A collection of data that you import or connect to. |
Data Source | The original location from where data is imported into Power BI. |
Power BI Pro | A subscription-based version of Power BI that offers additional features like sharing reports and collaboration. |
Power BI Premium | An advanced version of Power BI that provides greater scale and performance for large organizations. |
DirectQuery | A feature in Power BI that allows direct connection to a database, enabling real-time data updates. |
Live Connection | A connection type in Power BI to directly connect to a data source, providing real-time data access. |
Query Editor | A tool in Power BI for transforming and cleaning data before loading it into a data model. |
Measures | Calculations used in data analysis, typically involving aggregations. |
Power BI Mobile | An application for accessing Power BI reports on mobile devices. |
Publish | The act of sending a Power BI report from Power BI Desktop to the Power BI service. |
Data Refresh | The process of updating data in a Power BI report or dataset to reflect the latest information. |
This list covers the fundamental concepts and tools within Power BI and is a great starting point for anyone engaging with this powerful analytics platform.
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Frequently Asked Questions About Introduction to Microsoft Power BI
What is Microsoft Power BI?
Microsoft Power BI is a business analytics service that provides tools for aggregating, analyzing, visualizing, and sharing data. Power BI offers a variety of features such as data preparation, data discovery, and interactive dashboards to help users make informed business decisions.
What will I learn in the Microsoft Power BI course?
In the Microsoft Power BI course, you will learn how to prepare and connect to various data sources, clean and transform data, design and develop data models, create and manage model calculations using DAX, generate and enhance reports and dashboards, perform advanced analytics, create paginated reports, and manage workspaces. You will also learn to build Power App visuals and integrate with Analysis Services.
Who should take the Microsoft Power BI course?
This course is ideal for data analysts, business analysts, business intelligence professionals, IT professionals, database administrators, project managers, team leaders, and anyone interested in learning Power BI from scratch.
What career opportunities are available after completing the Power BI course?
Completing the Power BI course can open up various career opportunities, including roles as a Data Analyst, Business Intelligence Analyst, Business Analyst, Data Visualization Specialist, Power BI Developer, and IT Consultant.
What are the average salaries for professionals with Power BI skills?
Professionals with Power BI skills can expect competitive salaries. Approximate salary ranges are as follows: Data Analyst ($60,000 – $90,000 per year), Business Intelligence Analyst ($70,000 – $100,000 per year), Business Analyst ($65,000 – $95,000 per year), Data Visualization Specialist ($75,000 – $105,000 per year), Power BI Developer ($80,000 – $110,000 per year), and IT Consultant ($85,000 – $120,000 per year).
Proudly DisplayYour Achievement
Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.Introduction to Microsoft Power BI Course Content
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
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Your Training Instructor
James is a full-stack developer with over 40 years of experience. He has developed applications across all major industries and for Fortune 100 companies as well as local small businesses. James has also been teaching technology courses for over 20 years. In addition to his extensive background in technology, he has also worked as a professional opera singer.
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I’ve enjoyed the training so far. Wish it was more focused on Linux like other training, but still good.
The educators at ituonline.com are highly skilled but could improve their methods of instruction. In the CCNA 200-301 course, there’s a heavy emphasis on oral lectures, and it would be beneficial to include more in-depth visual aids. Annotating labs and graphics could also make the educational journey more effective. On the other hand, the N10-008 course instructor consistently offers top-notch material.
This course is super detailed but not boring, and they give you cool projects to actually practice what you’re learning.