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Power BI Training - Advanced Courses
Dive deeper into Power BI's modelling power with advanced skills
The course focuses on DAX; Row Context, Functions, Calculated Columns, Measures and working with Various Data Sources.
Learn how to use powerful modelling and data sourcing capabilities to become a Power BI power user in our one-day course. In this course we focus heavily on the complex theory of DAX and how to work with different data sources. Take your business intelligence analysis to the next level with our Power BI Advanced course. View our full Power BI Advanced course outline below.
Power BI Training - Advanced Courses
Advance your Power BI skills by learning DAX; Row Context, Functions, Calculated Columns, Measures and more.
RM 1,790
10 max
1 day
Upcoming Courses:
Remote KUL
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Power BI Advanced Course Details
Price
RM 1,790
Duration
1 day
Times
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
Address
N/A
Power BI Course Outlines
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DA-100 Power BI Certification
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What do I need to know to attend?
- Intermediate skills in Power BI Desktop, Power Query Editor and Power BI Service, including:
- import data from various sources
- manipulate data in Power Query
- create visualisations
- understand how to use slicers and report and page filters
- work with drill-down in visualisations
- Basic understanding of simple data modelling
- Knowledge of how to create calculated columns and measures
- Basic understanding of row-level security
Power BI Advanced Learning Outcomes
Upon completion of this course you will be able to:
- Use parameters for changing data sources
- Create and use report templates
- Use relative dates in slicers, work with multiple date dimension tables and use role-playing dimensions
- Understanding DAX measure evaluation and filter contexts
- Use DAX to modify filter context
- Work with advanced report features including custom tooltips, drill through and navigation
- Implement and use dynamic row-level security
Power BI Advanced Course Content
- Course Introduction
- Overview of Power BI
- Data Model
- Data modelling in the real world
- The dataset
- Themes, Parameters and Templates
- Report themes
- Parameters for changing the data source
- Report templates
- Advanced Slicing
- Working with multiple date dimension tables
- Create a date dimension table using DAX
- Role-playing dimensions
- Create hierarchies
- DAX Measures and Filters
- What is DAX?
- DAX measures
- Measures table
- Filters on a measure
- Filter context
- DAX Measures and Filters cont'd
- Measure evaluation with empty filter context
- Measure evaluation with propagation of filters
- Adding to the filter context
- Using DAX to modify the filter context
- Basic Filtering with CALCULATE
- CALCULATE basics
- CALCULATE with simple filters
- Filter behaviour
- CALCULATE with table expression filters
- CALCULATE and Filter Modifiers
- USERELATIONSHIP
- REMOVEFILTERS
- ALLSELECTED
- KEEPFILTERS
- CROSSFILTER
- Filter context follows relationships
- Bidirectional cross filtering
- Temporarily change the cross-filter direction
- Report Features
- Bin data
- Group data
- Drill through
- Custom report tooltips
- Manually setting a report tooltip
- Add navigation
- Page navigator
- Page navigation buttons
- Drill-through buttons
- Row-Level Security
- USERNAME
- Parent-child hierarchy
- PATH
- LOOKUPVALUE
- Dynamic row-level security
- Publish and test RLS
- Extended Exercise – API Data Sources
- Query a real API data source
- HTTP and JSON terminology
- Transform a JSON response
- Publish to the Power BI Service
- Extended Exercise – Data Streaming
- Stream data from PubNub
- Extended Exercise – Files in Folders
- Query a folder of files
- Column consistency
- Understanding the folder query
- View Query Dependencies
- Extended Exercise – Power Query M Language
- Syntax
- Lots of hashes
- The let and in statements
- Basic exercises in M
- Values, records and lists
- Operators
- Extended Exercise – Power Query M Language cont'd
- Conditional testing – if
- Errors and error handling
- Accessing table data
- More advanced M language exercises
- Each expression
- Refer to other queries
- Understanding a web query
- Remove rows by filtering
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