Course Overview
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.
Learning Objectives
Agenda
1 - Discover data analysis
Overview of data analysis
Roles in data
Tasks of a data analyst
2 - Get started building with Power BI
Use Power BI
Building blocks of Power BI
Tour and use the Power BI service
3 - 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
4 - 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
5 - Describe Power BI Desktop models
Star schema design
Analytic queries
Configure report visuals
6 - 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
7 - 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
8 - Write DAX formulas for Power BI Desktop models
Write DAX formulas
DAX data types
Work with DAX functions
Use DAX operators
Use DAX variables
9 - Add measures to Power BI Desktop models
Create simple measures
Create compound measures
Create quick measures
Compare calculated columns with measures
10 - Add calculated tables and columns to Power BI Desktop models
Create calculated columns
Learn about row context
Choose a technique to add a column
11 - Use DAX time intelligence functions in Power BI Desktop models
Use DAX time intelligence functions
Additional time intelligence calculations
12 - Optimize a model for performance in Power BI
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
13 - Enforce Power BI model security
Restrict access to Power BI model data
Restrict access to Power BI model objects
Apply good modeling practices
14 - Scope report design requirements
Identify the audience
Determine report types
Define user interface requirements
Define user experience requirements
Explore report designs
15 - 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
16 - Configure Power BI report filters
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
17 - 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
18 - Perform analytics in Power BI
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
19 - Create paginated reports
Get data
Create a paginated report
Work with charts on the report
Publish the report
20 - 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
21 - 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)
22 - Create dashboards in Power BI
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
23 - Implement row-level security
Configure row-level security with the static method
Configure row-level security with the dynamic method
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.