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Power BI Training - Intermediate Courses
Learn to work with data, measures, Power Query and more in Power BI.
Learn to work with data, measures, Power Query and more in Power BI.
5.00
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.
Course Details
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Upcoming Courses
Power BI Training Courses
Power BI Beginner Power BI Intermediate Power BI Advanced Power BI DAX Power BI Desktop Advanced ReportingMaster advanced Power BI reporting techniques in 1 day. Learn to create complex, layered, and interactive reports with custom visuals and navigation controls.
Power BI Data Transformation using Power QueryLearn Power Query for Excel and Power BI Desktop in 1 day. Master data transformation, query management, and M code to optimise your data workflows.
Data Visualisation with Power BI DesktopThis 1-day course focuses on producing high-quality reports using the full range of visualisations available in Power BI Desktop. You will gain a comprehensive understanding of the Power BI ecosystem, learn how to acquire and model data, and overcome common challenges related to map visualisations, relationships, and data types. The course also covers report publishing and sharing strategies, ensuring that your visualisations can be effectively communicated.
DA-100 Power BI Certification
Achieve your Power BI certification with Nexacu. Join remotely from Jakarta while you attend training courses and prepare to sit the DA-100 exam.
RP 25.200K
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
Common questions
What is Remote Training?
Remote training at Nexacu, means our team of experienced trainers will deliver your training virtually. With remote learning students can access our usual classroom training courses via video conferencing, ask questions, participate in discussion and share their screen with the trainer if they need help at any point in the course. Students have the same level of participation and access to the trainer as they would in classroom training sessions.
Which courses are available remotely?
All of our Public Courses scheduled in across South East Asia and New Zealand are available to be delivered remotely. Book any course and you will receive login details to access our student portal. The Student portal contains all our your course information, instructions on getting set up for a remote class and free webinars.
What is Power BI?
Power BI is Microsoft's Data Visualization tool. The BI stands for Business Intelligence. Power BI enables users to connect with their data, cleanse it and build interactive dashboards to gain insights that drive actions.
Will the content in these Power BI Courses be relevant for the workplace?
Yes, our course writers and trainers have industry backgrounds. Our core principle is to deliver training that our students can not only use in the workplace but will actually drive increased efficiency and productivity gains. We teach the key elements of Power BI from Beginner to Advanced; starting with a focus on visualizations and quickly progressing to data manipulation and modelling. We also offer a DAX course.
How many students are typically in a Power BI Training Course?
While this varies from session to session, we typically have 5-8 students in our Power BI classes. We cap our classes at 10 students. This is to ensure the quality of training remains high and that all students can ask questions and engage in discussion.
