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Analyzing Data with Power BI Training (20778)
Level: Intermediate
Rating:
4.07/5 Based on 200 Reviews
This official Microsoft Analyzing Data with Power BI (20778) course provides a comprehensive understanding of how to analyze data with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.
Plus, this course will prepare you for Microsoft exam 70-778, a core requirement for the MCSA: BI Reporting certification.
Key features of this Analyzing Data with Power BI Training:
- Microsoft Official Course (MOC) content
- Choose from on-demand and instructor-led blended learning options
- After-course instructor coaching benefit
- Eligible to use with your Microsoft Software Assurance Training Vouchers (SATVs)
You Will Learn How To:
- Perform Power BI desktop data transformation
- Describe Power BI desktop modelling
- Create a Power BI desktop visualization
- Implement the Power BI service
- Describe how to connect to Excel data
- Describe how to collaborate with Power BI data
- Connect directly to data stores
- Describe the Power BI developer API
- Describe the Power BI mobile app
Certifications/Credits:
Choose the Training Solution That Best Fits Your Individual Needs or Organizational Goals
ON DEMAND
On Demand + Instructor Coaching
LIVE, INSTRUCTOR-LED
In Class & Live, Online Training
TRAINING AT YOUR SITE
Team Training
- Bring this or any training to your organization
- Full - scale program development
- Delivered when, where, and how you want it
- Blended learning models
- Tailored content
- Expert team coaching
Save More On Training with FlexVouchers – A Unique Training Savings Account
Our FlexVouchers help you lock in your training budgets without having to commit to a traditional 1 voucher = 1 course classroom-only attendance. FlexVouchers expand your purchasing power to modern blended solutions and services that are completely customizable. For details, please call 888-843-8733 or chat live.
On Demand + Instructor Coaching
Analyzing Data with Power BI On-Demand Training Information
With a blend of video, text, hands-on labs, and knowledge checks, you will receive the same high quality content as the live event, but you can attend on your own time, at your own pace.
PLUS, we include access to a Microsoft Certified Trainer(MCT) to help you prepare for your certification exam and help you apply your new skills immediately… Learning Tree knows how to bring learning to life!
- Flexibility to take the course on your own time, at your own pace
- Forever access to the digital course materials – for any refreshers
- You will receive a code with your purchase.The code may be redeemed for online access to this On Demand course for up to six months
- Upon course activation, the MOC On Demand videos and labs are available for three months
- 2 FREE hours of individual coaching from an MCT Learning Tree Instructor
- This delivery is also eligible for Microsoft Assurance Training Vouchers(SATVs)
- NOTE: Only live, in-class training is eligible for NASBA CPEs; on-demand training is not eligible for CPE credit
In Class & Live, Online Training
Eastern Time Zone Start Times
-
Jul 31 - Aug 2 ( 3 Days)
9:00 AM - 4:30 PM EDT Toronto / Online (AnyWare) Reserve Your Seat -
Aug 7 - 9 ( 3 Days)
9:00 AM - 4:30 PM EDT Greenbelt,MD / Online (AnyWare) Reserve Your Seat -
Sep 4 - 6 ( 3 Days)
9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare) Reserve Your Seat -
Oct 2 - 4 ( 3 Days)
9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare) Reserve Your Seat -
Oct 23 - 25 ( 3 Days)
9:00 AM - 4:30 PM EDT Greenbelt,MD / Online (AnyWare) Reserve Your Seat -
Dec 11 - 13 ( 3 Days)
9:00 AM - 4:30 PM EST New York / Online (AnyWare) Reserve Your Seat -
Jan 22 - 24 ( 3 Days)
9:00 AM - 4:30 PM EST Toronto / Online (AnyWare) Reserve Your Seat -
Feb 12 - 14 ( 3 Days)
9:00 AM - 4:30 PM EST Greenbelt,MD / Online (AnyWare) Reserve Your Seat -
Mar 4 - 6 ( 3 Days)
9:00 AM - 4:30 PM EST Herndon, VA / Online (AnyWare) Reserve Your Seat -
Apr 1 - 3 ( 3 Days)
9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare) Reserve Your Seat -
Apr 29 - May 1 ( 3 Days)
9:00 AM - 4:30 PM EDT Greenbelt,MD / Online (AnyWare) Reserve Your Seat -
Jun 10 - 12 ( 3 Days)
9:00 AM - 4:30 PM EDT New York / Online (AnyWare) Reserve Your Seat Mountain Time Zone Start Times
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Aug 21 - 23 ( 3 Days)
9:00 AM - 4:30 PM MDT Denver / Online (AnyWare) Reserve Your Seat -
Nov 13 - 15 ( 3 Days)
9:00 AM - 4:30 PM MST Denver / Online (AnyWare) Reserve Your Seat -
Feb 5 - 7 ( 3 Days)
9:00 AM - 4:30 PM MST Denver / Online (AnyWare) Reserve Your Seat -
May 20 - 22 ( 3 Days)
9:00 AM - 4:30 PM MDT Denver / Online (AnyWare) Reserve Your Seat
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.Important Analyzing Data with Power BI Course Information
-
Requirements
- Before attending this course, students must have:
- Excellent knowledge of relational databases and reporting.
- Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
- Some exposure to basic programming constructs (such as looping and branching).
- An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
- Familiarity with Microsoft Office applications – particularly Excel
- Before attending this course, students must have:
-
Redeem Your Microsoft Training Vouchers (SATV):
- This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.
- Want to learn more about Microsoft SATVs? Click to view our SATVs infographic.
Analyzing Data with Power BI Course Outline
-
Module 1: Introduction to Self-Service BI Solutions
Introduces business intelligence (BI) and how to self-serve with BI.
Lessons
- Introduction to business intelligence
- Introduction to data analysis
- Introduction to data visualization
- Overview of self-service BI
- Considerations for self-service BI
- Microsoft tools for self-service BI
Lab : Exploring an Enterprise BI solution
- Viewing reports
- Creating a Power BI report
- Creating a Power BI dashboard
After completing this module, students will be able to:
- Describe the trends in BI
- Describe the process of data analysis in Power BI.
- Use the key visualizations in Power BI.
- Describe the rationale for self-service BI.
- Describe considerations for self-service BI.
- Understand how you can use Microsoft products to implement a BI solution.
-
Module 2: Introducing Power BI
This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.
Lessons
- Power BI
- The Power BI service
Lab : Creating a Power BI dashboard
- Connecting to Power BI data
- Create a Power BI dashboard
After completing this module, students will be able to:
- Develop reports using the Power BI Desktop app.
- Use report items to create dashboards on the Power BI portal.
- Understand the components of the Power BI service including licensing and tenant management.
-
Module 3: Power BI
At the end of this module students will be able to explain the rationale and advantages of using Power BI.
Lessons
- Using Excel as a data source for Power BI
- The Power BI data model
- Using databases as a data source for Power BI
- The Power BI service
Lab : Importing data into Power BI
- Importing Excel files into Power BI
- Viewing reports from Excel files
After completing this module, students will be able to:
- Describe the data model and know how to optimize data within the model.
- Connect to Excel files and import data
- Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
- Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups.
-
Module 4: Shaping and Combining Data
With Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.
Lessons
- Power BI desktop queries
- Shaping data
- Combining data
Lab : Shaping and combining data
- Shape power BI data
- Combine Power BI data
After completing this module, students will be able to:
- Perform a range of query editing skills in Power BI
- Shape data, using formatting and transformations.
- Combine data together from tables in your dataset.
-
Module 5: Modeling data
This module describes how to shape and enhance data.
Lessons
- Relationships
- DAX queries
- Calculations and measures
Lab : Modeling Data
- Create relationships
- Calculations
After completing this module, students will be able to:
- Describe relationships between data tables.
- Understand the DAX syntax, and use DAX functions to enhance your dataset.
- Create calculated columns, calculated tables and measures.
-
Module 6: Interactive Data Visualizations
This module describes how to create and manage interactive data visualizations.
Lessons
- Creating Power BI reports
- Managing a Power BI solution
Lab : Creating a Power BI report
- Connecting to Power BI data
- Building Power BI reports
- Creating a Power BI dashboard
After completing this module, students will be able to:
- Use Power Bi desktop to create interactive data visualizations.
- Manage a power BI solution.
-
Module 7: Direct Connectivity
This module describes various connectivity options using Power BI.
Lessons
- Cloud data
- Connecting to analysis services
Lab : Direct Connectivity
- Direct connectivity from Power BI desktop
- Direct connectivity from the Power BI service
After completing this module, students will be able to:
- Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
- Use Power BI with SQL Server Analysis Services data, including Analysis services modles running in multidimentional mode.
-
Module 8: The Developer API
This module describes the developer API within Power BI.
Lessons
- The developer API
- Custom visuals
Lab : Using the developer API
- Using custom visuals
After completing this module, students will be able to:
- Describe the developer API.
- Use the developer API to create custom visuals.
-
Module 9: Power BI mobile app
This module describes the Power BI mobile app.
Lessons
- Power BI mobile apps
- Using the Power BI mobile app
- Power BI embedded
After completing this module, students will be able to:
- Describe the Power BI mobile app.
- Download and use the Power BI mobile app.
- Describe Power BI embedded and when you would want to use it.
Team Training
Important Course Information
-
Requirements
- Before attending this course, students must have:
- Excellent knowledge of relational databases and reporting.
- Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
- Some exposure to basic programming constructs (such as looping and branching).
- An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
- Familiarity with Microsoft Office applications – particularly Excel
- Before attending this course, students must have:
-
Redeem Your Microsoft Training Vouchers (SATV):
- This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.
- Want to learn more about Microsoft SATVs? Click to view our SATVs infographic.
Course Outline
-
Module 1: Introduction to Self-Service BI Solutions
Introduces business intelligence (BI) and how to self-serve with BI.
Lessons
- Introduction to business intelligence
- Introduction to data analysis
- Introduction to data visualization
- Overview of self-service BI
- Considerations for self-service BI
- Microsoft tools for self-service BI
Lab : Exploring an Enterprise BI solution
- Viewing reports
- Creating a Power BI report
- Creating a Power BI dashboard
After completing this module, students will be able to:
- Describe the trends in BI
- Describe the process of data analysis in Power BI.
- Use the key visualizations in Power BI.
- Describe the rationale for self-service BI.
- Describe considerations for self-service BI.
- Understand how you can use Microsoft products to implement a BI solution.
-
Module 2: Introducing Power BI
This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.
Lessons
- Power BI
- The Power BI service
Lab : Creating a Power BI dashboard
- Connecting to Power BI data
- Create a Power BI dashboard
After completing this module, students will be able to:
- Develop reports using the Power BI Desktop app.
- Use report items to create dashboards on the Power BI portal.
- Understand the components of the Power BI service including licensing and tenant management.
-
Module 3: Power BI
At the end of this module students will be able to explain the rationale and advantages of using Power BI.
Lessons
- Using Excel as a data source for Power BI
- The Power BI data model
- Using databases as a data source for Power BI
- The Power BI service
Lab : Importing data into Power BI
- Importing Excel files into Power BI
- Viewing reports from Excel files
After completing this module, students will be able to:
- Describe the data model and know how to optimize data within the model.
- Connect to Excel files and import data
- Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
- Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups.
-
Module 4: Shaping and Combining Data
With Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.
Lessons
- Power BI desktop queries
- Shaping data
- Combining data
Lab : Shaping and combining data
- Shape power BI data
- Combine Power BI data
After completing this module, students will be able to:
- Perform a range of query editing skills in Power BI
- Shape data, using formatting and transformations.
- Combine data together from tables in your dataset.
-
Module 5: Modeling data
This module describes how to shape and enhance data.
Lessons
- Relationships
- DAX queries
- Calculations and measures
Lab : Modeling Data
- Create relationships
- Calculations
After completing this module, students will be able to:
- Describe relationships between data tables.
- Understand the DAX syntax, and use DAX functions to enhance your dataset.
- Create calculated columns, calculated tables and measures.
-
Module 6: Interactive Data Visualizations
This module describes how to create and manage interactive data visualizations.
Lessons
- Creating Power BI reports
- Managing a Power BI solution
Lab : Creating a Power BI report
- Connecting to Power BI data
- Building Power BI reports
- Creating a Power BI dashboard
After completing this module, students will be able to:
- Use Power Bi desktop to create interactive data visualizations.
- Manage a power BI solution.
-
Module 7: Direct Connectivity
This module describes various connectivity options using Power BI.
Lessons
- Cloud data
- Connecting to analysis services
Lab : Direct Connectivity
- Direct connectivity from Power BI desktop
- Direct connectivity from the Power BI service
After completing this module, students will be able to:
- Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
- Use Power BI with SQL Server Analysis Services data, including Analysis services modles running in multidimentional mode.
-
Module 8: The Developer API
This module describes the developer API within Power BI.
Lessons
- The developer API
- Custom visuals
Lab : Using the developer API
- Using custom visuals
After completing this module, students will be able to:
- Describe the developer API.
- Use the developer API to create custom visuals.
-
Module 9: Power BI mobile app
This module describes the Power BI mobile app.
Lessons
- Power BI mobile apps
- Using the Power BI mobile app
- Power BI embedded
After completing this module, students will be able to:
- Describe the Power BI mobile app.
- Download and use the Power BI mobile app.
- Describe Power BI embedded and when you would want to use it.
Analyzing Data with Power BI Training FAQs
-
Can I use SATVS to take this Analyzing Data with Power BI course?
This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.
-
Which Microsoft exam does this Power BI course prepare me for?
This course prepares you for Microsoft Exam 70-778, Analyzing and Visualizing Data with Microsoft Power BI.
-
Is this training part of a Microsoft MCSA certification path?
Yes, this course provides credit towards MCSA and MCP certification path.
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