Overview
What You Get
- 21 hours of high-quality classroom or live online training
- Certified Microsoft Power BI Instructor
- Official Microsoft Learn courseware
- Certificate of Attendance
- Unlimited course refresher for 1 year (Note: exams are not included)
Course Benefits
This Power BI training course in the Philippines 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. This Microsoft Power BI Data Analyst course will show you 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.
You Will Learn How To
- Discover data analysis
- Get started building with Power BI
- Get data in Power BI
- Clean, transform, and load data in Power BI
- Design a data model in Power BI
- Create measures using DAX in Power BI
- Optimize a model for performance in Power BI
- Work with Power BI visuals
- Create a data-driven story with Power BI reports
- Create dashboards in Power BI
- Perform analytics in Power BI
- Work with AI visuals in Power BI
- Create and manage workspaces in Power BI
- Manage datasets in Power BI
- Implement row-level security
Who Should Attend
The audience for this Power BI training 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.
Course Outline
Discover data analysis
- Overview of data analysis
- Roles in data
- Tasks of a data analyst
Get started building with Power BI
- Use Power BI
- Building blocks of Power BI
- Tour and use the Power BI service
Get data in Power BI
- Get data from files
- Get data from relational data sources
- 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
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
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
Introduction to creating measures using DAX in Power BI
- Introduction to DAX
- Understand context
- Use the Calculate function
- Use relationships effectively
- Create semi-additive measures
- Work with time intelligence
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
Work with Power BI visuals
- Introduction to work with Power BI visuals
- Add visualization items to reports
- Choose an effective visualization
- Format and configure visualizations
- Import a custom visual
- Add an R or Python visual
- Work with key performance indicators
Create a data-driven story with Power BI reports
- Introduction to create a data-driven story with Power BI reports
- Design a report layout
- Add buttons, bookmarks, and selections
- Design report navigation
- Use basic interactions
- Use advanced interactions and drill through
- Configure conditional formatting
- Apply slicing, filtering, and sorting
- Publish and export reports
- Comment on reports
- Tune report performance
- Optimize reports for mobile use
Create dashboards in Power BI
- Introduction to dashboards
- Configure data alerts
- Explore data by asking questions
- Add a dashboard theme
- Pin a live report page to a dashboard
- Configure a real-time dashboard
- Configure data classification
- Set mobile view
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
- Use advanced analytics custom visuals
- Review Quick insights
- Apply AI Insights
Work with AI visuals in Power BI
- Introduction to working with AI visuals
- Use the Q&A visual
- Find important factors with the Key influencers visual
- Use the Decomposition Tree visual to break down a measure
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
Manage datasets in Power BI
- Create dynamic reports with parameters
- Create what-if parameters
- 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)
Implement row-level security
- Configure row-level security with the static method
- Configure row-level security with the dynamic method
