Classes Data & Analytics
PL-300 Microsoft Taught by us
Microsoft Power BI Data Analyst
- 4 days
- 3 upcoming dates
Upcoming dates
All times shown in the class's own timezone. Dates we teach ourselves run once 1 people are booked, so a pair of seats confirms one.
| Dates | Starts | Where | Status | Seat | Book |
|---|---|---|---|---|---|
| Oct 19-22 | 9:00 AM to 4:00 PM PDT Taught by us | Live virtual | RUNS WITH 1+ | $2,495 | |
| Nov 17-20 | 9:00 AM to 4:00 PM PST Taught by us | Live virtual | RUNS WITH 1+ | $2,495 | |
| Dec 21-24 | 9:00 AM to 4:00 PM PST Taught by us | Live virtual | RUNS WITH 1+ | $2,495 |
About this class
We have 3 scheduled dates of Microsoft Power BI Data Analyst, from Oct 19-22 through Dec 21-24. We teach this one ourselves, with our own instructors and courseware. Seats are $2,495 each over 4 days, courseware included. Book online with a card, or send a purchase order and we will invoice on net 30 terms.
Which Power BI Course Should I Take?
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. Students will learn how to access and process data from a range of data sources including both relational and non-relational data. They will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. Next, students will discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI. This four-day course is for data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also appropriate for individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
What you'll be able to do
- 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
Course outline
Module 1 Discover data analysis
- 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 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
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
- Create calculated columns
- Learn about row context
- Choose a technique to add a column
Module 8 Use DAX time intelligence functions in Power BI
- 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
- 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
- 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 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)
Module 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
Module 17 Implement row-level security
- Configure row-level security with the static method
- Configure row-level security with the dynamic method
Before you attend
Before attending this course, students must have:
-Understanding of core data concepts. -Knowledge of working with relational data. -Knowledge of working with non-relational data. -Knowledge of data analysis and visualization concepts.
How reserving works. Your card is authorized, not charged. We confirm the seat with the training center, usually within one business day, and take payment only once it is held. If the class turns out to be full we release the authorization and you are not charged.
Request a quote
Tell us how many people and roughly when. We'll come back with dates, seat price, and a total by the end of the next business day.