Duration
3 Days
18 CPD hours
This course is intended for
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.
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.
Prerequisites
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.
DP-900T00 Microsoft Azure Data Fundamentals is recommended
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 - 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
6 - Add measures to Power BI Desktop models
Create simple measures
Create compound measures
Create quick measures
Compare calculated columns with measures
7 - Add calculated tables and columns to Power BI Desktop models
Create calculated columns
Learn about row context
Choose a technique to add a column
8 - Use DAX time intelligence functions in Power BI Desktop models
Use DAX time intelligence functions
Additional time intelligence calculations
9 - 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
10 - 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
11 - 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
12 - 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
13 - 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
14 - 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
15 - 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)
16 - 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
17 - Implement row-level security
Configure row-level security with the static method
Configure row-level security with the dynamic method
Additional course details:
Nexus Humans PL-300T00: Microsoft Power BI Data Analyst training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.
This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.
Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.
While we feel this is the best course for the PL-300T00: Microsoft Power BI Data Analyst course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.
Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.