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Power BI Training - Intermediate Courses
Learn to work with data, measures, Power Query and more in Power BI.
Students will work on data transformations, measures, DAX, Row Level Security, using Power Query and creating Advanced Visualizations.
Learn how to manipulate data and enrich data models to produce powerful interactive dashboards on our one-day course. After the completion of this course you will be able to work with data from many sources, build calculations in the data model to produce intelligent, interactive dashboards. You will be able to collaborate with colleagues and publish to the web. View our full Power BI Intermediate course outline below.
Power BI Training - Intermediate Courses
Learn to build data models and calculations to produce intelligent dashboards. In-class and remote training.
SG$525
10 max
1 day
Upcoming Courses:
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Power BI Intermediate Course Details
Price
SG$525
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?
- Source data from Excel and some other sources into Power BI service
- Build reports and dashboards in Power BI, turn data into visuals, format visuals, filter data and visuals
- Understand the basics of collaborating using Power BI (although not critical for this course)
- Basic understanding of Power BI Desktop tool (don’t need to use regularly), how to source data and basic preparation of data
Power BI Intermediate Learning Outcomes
- Understand self-service Business Intelligence
- Understand Power Query
- Know how to Transform Data
- Create Custom Visuals
- Understand the basics of DAX
- Understand the basics of “M”
- How to use Quick Measures
- Sharing and Security on the Service
Power BI Intermediate Course Content
- Power BI
- An introduction to the different Power BI Products
- When to use Power BI Desktop
- Power BI licensing
- Online Services Power BI connects to
- Databases Power BI connects to
- The BI Process
- The Business Intelligence process
- How Power BI relates to the standard BI processes.
- Data Model & Transformation
- The Power Query process
- Data transformation principles
- Manual data clean-up example
- A demonstration of how Power Query helps with efficient use of data query
- Dimension and Fact Tables
- Data Model considerations
- Common Data Models
- Power Query UI
- Queries Area
- Data section
- The Transformations Ribbons
- Query Settings Area
- M Language Area
- Data Source
- Introduction to the data source used in this course
- Creating Tables of Data
- Import data from Excel
- Import data from Web
- Renaming Queries
- Grouping Queries
- Column Transformations
- Adding Custom Columns
- Renaming Query Steps
- Changing Text Data Column Case
- Duplicating Columns
- Renaming Columns
- Splitting Columns
- Creating Conditional Columns
- Creating Index columns
- Reordering Columns
- Using the Navigate to Column tool
- Creating Date columns from
- Date/Time Columns
- Data Transformations
- Removing rows from Tables
- Use First Row as Headers
- Filtering Data
- Detect and change data type
- Filling null area with values
- Trimming text
- Replacing values
- Date Transformations
- Disabling Auto Date/Time
- Extracting year
- Extracting quarter
- Extracting month
- Extracting date
- Filter dates
- Unpivot Data
- Unpivot Columns
- Append and Merge Queries
- Append Queries
- Merge Queries
- Merge Query Types
- Cleaning the resulting query
- Load Data
- Including and Excluding Queries in report refresh
- Enabling or disabling Query loading
- Applying Queries
- Viewing Query dependencies
- Data Modelling
- Introduction to data modelling
- Relationship view
- Auto detecting relationships
- Cardinality and Cross Filtering
- Creating relationships through Manage relationships
- Changing Cross Filtering
- Deleting relationships
- Drag and drop to create relationships
- DAX
- Introduction to DAX
- Comparing M Language to DAX
- Comparing Measures to Calculated Columns
- Referring to and Using Measures and Calculated Columns
- Creating a simple SUM measure
- Creating a Calculated column using the IF function
- Simple DAX functions
- The X Functions as iterators
- Comparing SUM to SUMX
- A use for AVERAGEX
- Quick Measures
- Introduction to Quick Measures
- Quick Measure Categories
- Aggregate per Category
- Filters
- Fine tuning the Quick Measure
- Totals
- Arithmetic
- Text
- Time Intelligence Functions
- Visuals for Date / Time Reporting
- Create a column for abbreviated month
- Mark as Date Table
- Quick Measure for Year to Date
- Quick Measure for YTD with different year end
- Quick Measure on an existing measure using YTD
- Advanced Visualisations
- Introduction to Waterfall charts
- Create variance measures
- Using variance measures in a Waterfall chart
- Create drill down time series chart
- Drill down chart interaction
- Create drill down bar chart
- Creating What if Parameters
- Using What if parameters in a chart
- Enabling Q & A in Power BI Desktop
- Create a visual with Q & A
- Using Bookmarks in Power BI Desktop
- Bookmarks to filter data
- Bookmarks to change visuals
- Add buttons to access bookmarks
- Secure and Share Data
- Introduction to Row Level Security
- Create Row Level Security roles
- Test Row Level Security in Power BI Desktop
- Overview of Online Sharing
- Create Workspace Apps
- Publish to a Workspace
- Sharing workspace apps
- Testing Workspace App in the Power BI service
- Testing RLS in the App
- Assigning Members to roles
- Editing Workspace Apps
- Creating reports in workspace apps
- Delete Workspaces
- Unpublish App
- Extended Topic A – Transformations
- Opening files and checking connections
- Examine the underlying data
- Find and Replace
- Unpivot & Rename
- Extended Topic B – Query Parameters (Dynamic Web Query)
- Importing a web query using parameters
- Creating a custom function
- Defining a List to create a new Query
- Invoking custom functions
- Using Error checking processes
- Cleaning queries
- Create measures and visualise queried data
- Extended Topic C – Group by
- Using the Group By feature
- Data Normalisation Appendix
- The Normal Forms
- 1st Normal Form
- 2nd Normal Form
- 3rd Normal Form
- Primary Key
- Relationships
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