This course covers 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 show...
This course covers 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 show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
Audience Profile
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Skills Gained
After completing this course, students will be able to:
Ingest, clean, and transform data
Model data for performance and scalability
Design and create reports for data analysis
Apply and perform advanced report analytics
Manage and share report assets
Prerequisites
Successful Data Analysts start this role with experience of working with data in the cloud. Specifically:
Understanding core data concepts.
Knowledge of working with relational data in the cloud.
Knowledge of working with non-relational data in the cloud.
Knowledge of data analysis and visualization concepts.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.
Course Details
Outline
Discover data analysis
Overview of data analysis
Roles in data
Tasks of a data analyst
Check your knowledge
Summary
Get started building with Power BI
Use Power BI
Building blocks of Power BI
Tour and use the Power BI service
Knowledge check
Create interactive reports using Copilot for Power BI
Prepare your data for use with Copilot for Power BI
Use Copilot for Power BI to model your data
Create reports with Copilot for Power BI
Create summaries with Copilot for Power BI
Knowledge check
Get data in Power BI
Get data from files
Get data from relational data sources
Create dynamic reports with parameters
Get data from a NoSQL database
Get data from online services
Select a storage mode
Get data from Azure Analysis Services
Fix performance issues
Resolve data import errors
Exercise - Prepare data in Power BI Desktop
Check your knowledge
Clean, transform, and load data in Power BI
Shape the initial data
Simplify the data structure
Evaluate and change column data types
Combine multiple tables into a single table
Profile data in Power BI
Use Advanced Editor to modify M code
Exercise - Load data in Power BI Desktop
Check your knowledge
Describe Power BI Desktop models
Star schema design
Analytic queries
Configure report visuals
Check your knowledge
Choose a Power BI model framework
Describe Power BI model fundamentals
Determine when to develop an import model
Determine when to develop a DirectQuery model
Determine when to develop a composite model
Choose a model framework
Knowledge check
Design a semantic model in Power BI
Work with tables
Create a date table
Work with dimensions
Define data granularity
Work with relationships and cardinality
Resolve modeling challenges
Exercise - Model data in Power BI Desktop
Check your knowledge
Write DAX formulas for Power BI Desktop models
Write DAX formulas
DAX data types
Work with DAX functions
Use DAX operators
Use DAX variables
Check your knowledge
Add measures to Power BI Desktop models
Create simple measures
Create compound measures
Create quick measures
Compare calculated columns with measures
Check your knowledge
Exercise - Create DAX Calculations in Power BI Desktop
Add calculated tables and columns to Power BI Desktop models
Create calculated columns
Learn about row context
Choose a technique to add a column
Check your knowledge
Use DAX time intelligence functions in Power BI Desktop models
Use DAX time intelligence functions
Additional time intelligence calculations
Exercise - Create Advanced DAX Calculations in Power BI Desktop
Check your knowledge
Optimize a model for performance in Power BI
Introduction to performance optimization
Review performance of measures, relationships, and visuals
Use variables to improve performance and troubleshooting
Reduce cardinality
Optimize DirectQuery models with table level storage
Create and manage aggregations
Check your knowledge
Enforce Power BI model security
Restrict access to Power BI model data
Restrict access to Power BI model objects
Apply good modeling practices
Exercise: Enforce model security
Knowledge check
Scope report design requirements
Identify the audience
Determine report types
Define user interface requirements
Define user experience requirements
Explore report designs
Check your knowledge
Design Power BI reports
Design the analytical report layout
Design visually appealing reports
Report objects
Select report visuals
Select report visuals to suit the report layout
Format and configure visualizations
Work with key performance indicators
Exercise - Design a report in Power BI desktop
Check your knowledge
Create visual calculations in Power BI Desktop
Understand visual calculations
Create visual calculations
Use parameters in visual calculations
Exercise - Create visual calculations in Power BI Desktop
Knowledge check
Configure Power BI report filters
Introduction to designing reports for filtering
Apply filters to the report structure
Apply filters with slicers
Design reports with advanced filtering techniques
Consumption-time filtering
Select report filter techniques
Case study - Configure report filters based on feedback
Check your knowledge
Enhance Power BI report designs for the user experience
Design reports to show details
Design reports to highlight values
Design reports that behave like apps
Work with bookmarks
Design reports for navigation
Work with visual headers
Design reports with built-in assistance
Tune report performance
Optimize reports for mobile use
Exercise - Enhance Power BI reports
Check your knowledge
Perform analytics in Power BI
Introduction to analytics
Explore statistical summary
Identify outliers with Power BI visuals
Group and bin data for analysis
Apply clustering techniques
Conduct time series analysis
Use the Analyze feature
Create what-if parameters
Use specialized visuals
Exercise - Perform Advanced Analytics with AI Visuals
Check your knowledge
Create and manage workspaces in Power BI
Distribute a report or dashboard
Monitor usage and performance
Recommend a development life cycle strategy
Troubleshoot data by viewing its lineage
Configure data protection
Check your knowledge
Manage semantic models in Power BI
Use a Power BI gateway to connect to on-premises data sources
Configure a semantic model scheduled refresh
Configure incremental refresh settings
Manage and promote semantic models
Troubleshoot service connectivity
Boost performance with query caching (Premium)
Check your knowledge
Create dashboards in Power BI
Introduction to dashboards
Configure data alerts
Explore data by asking questions
Review Quick insights
Add a dashboard theme
Pin a live report page to a dashboard
Configure a real-time dashboard
Set mobile view
Exercise - Create a Power BI dashboard
Check your knowledge
Implement row-level security
Configure row-level security with the static method
Configure row-level security with the dynamic method
Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.
Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.
Do Microsoft courses come with post lab access?
Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.
Does the course schedule include a Lunchbreak?
Lunch is normally an hour-long after 3-3.5 hours of the class day.
What languages are used to deliver training?
Microsoft courses are conducted in English unless otherwise specified.
The instructor is an amazing resource: his knowledge is evident, he answered every question without hesitation, already having the answer at the tips of his fingers. He communicated clearly and made complex topics feel accessible. Amazing teacher.
Pavan is incredibly knowledgeable and makes it all look super easy. My goal would be to efficiently use all the tools that he provided in a manner that allowed my creativity....meaning rather than being constrained by time I will get most structure done and then still have time for the aesthetics of making it beautiful in my workday! Thanks Pavan!
Instructor was great! Not only did he cover the material in great detail, but he also provided additional, external resources that can be used to further educate ourselves. Great class and I would recommend him to anyone, especially those with a more technical background.
Instructor Art Chandler was the best instructor I have had in years. He is a real asset to your organization.
This was a great course that rapidly oriented my team and I onto a new capability that we previously only understood in passing. Leaving this course I'm confident that we can use these skills immediately and have the necessary background to improve further.