PL-300T00: Microsoft Power BI Data Analyst
3 DAYS
Description:
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.
MODULE 1: DISCOVER DATA ANALYTICS
Overview of data analysis
Roles in data
Tasks of a data analyst
MODULE 2: GET STARTED BUILDING WITH POWER BI
Use Power BI
Building blocks of Power BI
Tour and use the Power BI service
MODULE 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
MODULE 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
MODULE 5: DESIGN A DATA 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
MODULE 6: ADD MEASURES TO POWER BI DESKTOP MODELS
Create simple measures
Create compound measures
Create quick measures
Compare calculated columns with measures
MODULE 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
MODULE 8:USE DAX TIME INTELLIGENCE FUNCTIONS IN POWER BI DESKTOP MODELS
Use DAX time intelligence functions
Additional time intelligence calculations
MODULE 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
MODULE 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
MODULE 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
MODULE 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
MODULE 13: 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
MODULE 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
MODULE 15: MANAGE DATASETS IN POWER BI
Use a Power BI gateway to connect to on-premises data sources
Configure a dataset scheduled refresh
Configure incremental refresh settings
Manage and promote datasets
Troubleshoot service connectivity
Boost performance with query caching (Premium)
MODULE 16: 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
Configure data classification
Set mobile view
MODULE 17: IMPLEMENT ROW-LEVEL SECURITY
Configure row-level security with the static method
Configure row-level security with the dynamic method