Course Outline

 

PL-300T00-A: Design and manage analytics solutions using Power BI

Duration
3 Days
Price
775,00 €
Course Type
Virtual / Physical
This course will cover the key methods and best practices aligned with both business and technical requirements for modeling, visualizing, and analyzing data using Power BI. It will demonstrate how to connect to and transform data from a variety of relational and non-relational sources, then explore the implementation of robust security standards and policies across the Power BI spectrum—including datasets and workspaces. You’ll also learn how to manage and deploy reports and dashboards for sharing and content distribution, and finally, how to create paginated reports within the Power BI service and publish them to a workspace for full integration.

Learning Objectives

After completing this course, you 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
Create paginated reports in Power BI

Course Outline

1 - Discover data analysis
  • Overview of data analysis
  • Roles in data
  • Tasks of a data analyst
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
23 - Implement row-level security
  • Configure row-level security with the static method
  • Configure row-level security with the dynamic method

Target Audience

The audience for this course are data professionals and business intelligence professionals how to perform accurate data analysis with Power BI.
This training is also intended for individuals who develop reports that visualize data from data platform technologies, both in the cloud and on-premises.
Candidates must have practical experience with cloud-based data solutions, including:
Core database concepts
Working with relational data in the cloud
Working with non-relational data in the cloud
Fundamentals of data analysis and visualization concepts

Upcoming Class Dates and Times
сеп 29
сеп 29, 09:00 - 04:30
775,00 €
Scheduled
Virtual / Physical

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