Power BI Advanced Course
(4.89 out of 5) 799 Student Reviews
About the Course
This 2-day course covers the latest functionalities and updates in Power BI while diving deep into practical solutions of the common challenges faced by a business user while performing analytics. During this course, students will learn how to perform more sophisticated data manipulations, best practices and do’s and don’ts of data modelling, AI-enhanced features and visuals and managing the security to build an enterprise-level solution.
Who should do this course?
This course is suitable for business users who wants to implement BI to create reports and dashboard or SQL Server report creators who are interested in alternative methods of presenting data.
Prerequisites
This Power BI course is suitable for the people who have completed the Power BI essentials course or have equivalent skills. To benefit most from this course, participants must have some expertise in using excel functions such as VLOOKUP and Pivot table and are familiar with interface and navigation of Microsoft Power BI tool.
Course Details
$990 incl GST
- Duration:2 Days
- Max. Class Size:10
- Avg. Class Size:5
-
Study Mode:
Classroom Online Live
- Level:Advanced
- Course Times: Classroom: 9.00am to 5.00pm approx(Local Time) Online Live: 9.00am to 5.00pm approx(AEST or AEDT)
- Download Course PDF
Course Dates
Sydney Class Dates
Level 11, 32 Walker Street, North Sydney , NSW 2060
16 - 17 Dec 24 | Mon - Tue | Online Live |
16 - 17 Jan 25 | Thu - Fri | Classroom |
16 - 17 Jan 25 | Thu - Fri | Online Live |
22 - 23 Jan 25 | Wed - Thu | Online Live |
28 - 29 Jan 25 | Tue - Wed | Online Live |
10 - 11 Feb 25 | Mon - Tue | Online Live |
13 - 14 Feb 25 | Thu - Fri | Classroom |
19 - 20 Feb 25 | Wed - Thu | Online Live |
27 - 28 Feb 25 | Thu - Fri | Online Live |
03 - 04 Mar 25 | Mon - Tue | Online Live |
13 - 14 Mar 25 | Thu - Fri | Classroom |
18 - 19 Mar 25 | Tue - Wed | Online Live |
20 - 21 Mar 25 | Thu - Fri | Online Live |
31 Mar - 01 Apr 25 | Mon - Tue | Online Live |
10 - 11 Apr 25 | Thu - Fri | Classroom |
16 - 17 Apr 25 | Wed - Thu | Online Live |
28 - 29 Apr 25 | Mon - Tue | Online Live |
08 - 09 May 25 | Thu - Fri | Classroom |
14 - 15 May 25 | Wed - Thu | Online Live |
26 - 27 May 25 | Mon - Tue | Online Live |
05 - 06 Jun 25 | Thu - Fri | Classroom |
12 - 13 Jun 25 | Thu - Fri | Online Live |
19 - 20 Jun 25 | Thu - Fri | Online Live |
25 - 26 Jun 25 | Wed - Thu | Online Live |
Melbourne Class Dates
Level 12, 379 Collins Street, Melbourne , VIC 3000
16 - 17 Dec 24 | Mon - Tue | Online Live |
13 - 14 Jan 25 | Mon - Tue | Classroom |
16 - 17 Jan 25 | Thu - Fri | Online Live |
22 - 23 Jan 25 | Wed - Thu | Online Live |
28 - 29 Jan 25 | Tue - Wed | Online Live |
04 - 05 Feb 25 | Tue - Wed | Classroom |
10 - 11 Feb 25 | Mon - Tue | Online Live |
19 - 20 Feb 25 | Wed - Thu | Online Live |
27 - 28 Feb 25 | Thu - Fri | Online Live |
03 - 04 Mar 25 | Mon - Tue | Online Live |
06 - 07 Mar 25 | Thu - Fri | Classroom |
18 - 19 Mar 25 | Tue - Wed | Online Live |
20 - 21 Mar 25 | Thu - Fri | Online Live |
31 Mar - 01 Apr 25 | Mon - Tue | Classroom |
31 Mar - 01 Apr 25 | Mon - Tue | Online Live |
16 - 17 Apr 25 | Wed - Thu | Online Live |
28 - 29 Apr 25 | Mon - Tue | Online Live |
01 - 02 May 25 | Thu - Fri | Classroom |
14 - 15 May 25 | Wed - Thu | Online Live |
26 - 27 May 25 | Mon - Tue | Classroom |
26 - 27 May 25 | Mon - Tue | Online Live |
12 - 13 Jun 25 | Thu - Fri | Online Live |
19 - 20 Jun 25 | Thu - Fri | Online Live |
24 - 25 Jun 25 | Tue - Wed | Classroom |
25 - 26 Jun 25 | Wed - Thu | Online Live |
Brisbane Class Dates
Level 6, 371 Queen Street, Brisbane , QLD 4000
16 - 17 Dec 24 | Mon - Tue | Online Live |
13 - 14 Jan 25 | Mon - Tue | Classroom |
16 - 17 Jan 25 | Thu - Fri | Online Live |
22 - 23 Jan 25 | Wed - Thu | Online Live |
28 - 29 Jan 25 | Tue - Wed | Online Live |
10 - 11 Feb 25 | Mon - Tue | Online Live |
12 - 13 Feb 25 | Wed - Thu | Classroom |
19 - 20 Feb 25 | Wed - Thu | Online Live |
27 - 28 Feb 25 | Thu - Fri | Online Live |
03 - 04 Mar 25 | Mon - Tue | Online Live |
12 - 13 Mar 25 | Wed - Thu | Classroom |
18 - 19 Mar 25 | Tue - Wed | Online Live |
20 - 21 Mar 25 | Thu - Fri | Online Live |
31 Mar - 01 Apr 25 | Mon - Tue | Online Live |
16 - 17 Apr 25 | Wed - Thu | Online Live |
28 - 29 Apr 25 | Mon - Tue | Online Live |
14 - 15 May 25 | Wed - Thu | Online Live |
26 - 27 May 25 | Mon - Tue | Online Live |
12 - 13 Jun 25 | Thu - Fri | Online Live |
19 - 20 Jun 25 | Thu - Fri | Online Live |
25 - 26 Jun 25 | Wed - Thu | Online Live |
Canberra Class Dates
All courses facilitated in, Online Live format ,
16 - 17 Dec 24 | Mon - Tue | Online Live |
16 - 17 Jan 25 | Thu - Fri | Online Live |
22 - 23 Jan 25 | Wed - Thu | Online Live |
28 - 29 Jan 25 | Tue - Wed | Online Live |
10 - 11 Feb 25 | Mon - Tue | Online Live |
19 - 20 Feb 25 | Wed - Thu | Online Live |
27 - 28 Feb 25 | Thu - Fri | Online Live |
03 - 04 Mar 25 | Mon - Tue | Online Live |
18 - 19 Mar 25 | Tue - Wed | Online Live |
20 - 21 Mar 25 | Thu - Fri | Online Live |
31 Mar - 01 Apr 25 | Mon - Tue | Online Live |
16 - 17 Apr 25 | Wed - Thu | Online Live |
28 - 29 Apr 25 | Mon - Tue | Online Live |
14 - 15 May 25 | Wed - Thu | Online Live |
26 - 27 May 25 | Mon - Tue | Online Live |
12 - 13 Jun 25 | Thu - Fri | Online Live |
19 - 20 Jun 25 | Thu - Fri | Online Live |
25 - 26 Jun 25 | Wed - Thu | Online Live |
Adelaide Class Dates
All courses facilitated in, Online Live format ,
16 - 17 Dec 24 | Mon - Tue | Online Live |
16 - 17 Jan 25 | Thu - Fri | Online Live |
22 - 23 Jan 25 | Wed - Thu | Online Live |
28 - 29 Jan 25 | Tue - Wed | Online Live |
10 - 11 Feb 25 | Mon - Tue | Online Live |
19 - 20 Feb 25 | Wed - Thu | Online Live |
27 - 28 Feb 25 | Thu - Fri | Online Live |
03 - 04 Mar 25 | Mon - Tue | Online Live |
18 - 19 Mar 25 | Tue - Wed | Online Live |
20 - 21 Mar 25 | Thu - Fri | Online Live |
31 Mar - 01 Apr 25 | Mon - Tue | Online Live |
16 - 17 Apr 25 | Wed - Thu | Online Live |
28 - 29 Apr 25 | Mon - Tue | Online Live |
14 - 15 May 25 | Wed - Thu | Online Live |
26 - 27 May 25 | Mon - Tue | Online Live |
12 - 13 Jun 25 | Thu - Fri | Online Live |
19 - 20 Jun 25 | Thu - Fri | Online Live |
25 - 26 Jun 25 | Wed - Thu | Online Live |
Perth Class Dates
All courses facilitated in, Online Live format ,
16 - 17 Dec 24 | Mon - Tue | Online Live |
16 - 17 Jan 25 | Thu - Fri | Online Live |
22 - 23 Jan 25 | Wed - Thu | Online Live |
28 - 29 Jan 25 | Tue - Wed | Online Live |
10 - 11 Feb 25 | Mon - Tue | Online Live |
19 - 20 Feb 25 | Wed - Thu | Online Live |
27 - 28 Feb 25 | Thu - Fri | Online Live |
03 - 04 Mar 25 | Mon - Tue | Online Live |
18 - 19 Mar 25 | Tue - Wed | Online Live |
20 - 21 Mar 25 | Thu - Fri | Online Live |
31 Mar - 01 Apr 25 | Mon - Tue | Online Live |
16 - 17 Apr 25 | Wed - Thu | Online Live |
28 - 29 Apr 25 | Mon - Tue | Online Live |
14 - 15 May 25 | Wed - Thu | Online Live |
26 - 27 May 25 | Mon - Tue | Online Live |
12 - 13 Jun 25 | Thu - Fri | Online Live |
19 - 20 Jun 25 | Thu - Fri | Online Live |
25 - 26 Jun 25 | Wed - Thu | Online Live |
Course Units
⊕ Expand full topic list
Unit 1: Introduction
- Overview of BI Process
- Overview of Different Power BI Products
- Latest Features and Top Enhancements in Power BI
⊕ See more
Unit 2: Power Query - Advanced Data Transformation
- Data Transformation Principle
- Pivot and Unpivot
- Merging Queries
- Appending Queries
- Using Basic Group By functionality
- Using Advanced Group by Functionality
- Choosing Columns
- Duplicating a Query
- Referencing a Query
- Difference between Duplicate and Reference
- Extracting Columns
- Formatting Columns
- Copying Queries across reports
⊕ See more
Unit 3: Power Query - Creating Columns
- Creating Date Columns
- Creating Standard Columns
- Creating Scientific Columns
- Creating Statistical Columns
- Creating Information Columns
- Creating Index Columns
- Creating Conditional Columns
- Creating Custom Columns
- Creating Columns by Examples
⊕ See more
Unit 4: Fuzzy Match
- Using Fuzzy Match to Merge Queries
- Changing Similarity Threshold
- Working with Fuzzy Merge Options
- Creating and Using Transformation Table
⊕ See more
Unit 5: Data Profiling
- What is Data Profiling and its use case?
- Column Distribution
- Column Quality
- Column Profile
⊕ See more
Unit 6: Converting Flat File into a Data Model
- Duplicate Queries
- Removing Columns
- Removing Duplicates
- Building Relationships
⊕ See more
Unit 7: Data Modelling - Fundamental Concepts
- Understanding a Data Model
- Understanding a Fact Table
- Understanding a Data Table
- What Is a Dimension?
- Working with Look-Up Table
- Understanding Star Schema
- Understanding Snow Flake Schema
- How Filter Propagation Work?
- Understanding Double Vs Single Cross Filtering Direction
- Understanding Active Vs Inactive Relationships
⊕ See more
Unit 8: Data Modelling - Common Issues and Solutions
- What Questions To Ask Before Starting?
- Good Practices of Data Modelling
- Having No Unique Identifier
- Relation between Two Different Dimensions
- Understanding Loops
- Creation of Surrogate Key
- Creation of Bridge/Fact-Less Fact Table
- Creation of Calculated Tables
- Building Calendar Table
⊕ See more
Unit 9: Latest Features in Data Modelling
- Many to Many Relationship
- Applying Security Filter in Both Direction
- Working with Views and Perspectives
- Composite Model
- Writing Properties for Tool Tip
- Creating Hierarchies
⊕ See more
Unit 10: DAX Introduction and Core Concepts
- Understanding DAX Rules and Concepts
- Filter Context
- Row Context
- Calculated Columns
- Calculated Measures
- Calculated Tables
⊕ See more
Unit 11: Common DAX Functions
- Related/Related Table function
- Sum function
- Count Function
- SumX function
- Calculate function
- Filter Function
- Userelationship function
- Using Variables for DAX
⊕ See more
Unit 12: Quick Measures
- Introduction to Quick Measures
- Quick Measure - Year to Date
- Quick Measure - Filter
- Quick Measure - Rolling Average
- Quick Measure - Percentage Difference
⊕ See more
Unit 13: Data Visualization
- Drilling through Filters across Reports
- Creating KPI Score Card
- Working With Uni Char Symbols
- Slicer Synchronization across Multiple Pages
- Working With Selection and Book Marks Pane
- Q&A Improvements
- Creating infographics
⊕ See more
Unit 14: Conditional Formatting in Power BI
- By Back Ground Colour
- By Font Colour
- Data Bar
- By Rule
- By Another Column
- Dynamic Chart Titles
- Switch DAX Function
- For Chart Visuals using Measures
⊕ See more
Unit 15: AI Enhanced Visualization
- What are AI visuals?
- Key Influencer Visual
- Clustering using Scatter Chart
⊕ See more
Unit 16: Performance Analyzer
- What is Performance Analyzer?
- Start Recording
- Understanding the Results
- Drilling Down into the Visual
- Renaming the visual using Selection Pane
- Analyze Results to Modify Slicer
- Analyze Results to Refresh a Particular Visual
⊕ See more
Unit 17: Working with Row Level Security
- Creating Roles
- Writing Table Filter Expressions for a Single Field
- Writing Table Filter Expressions for Multiple Fields
- Viewing as Roles
- Creating Dynamic Row Level Security
- Creating Dynamic Row Level Security According to
- Reporting Line
- Assigning Members to Roles
- URL Filtering
- Dynamic URL Filtering
⊕ See more
Unit 18: Work Space App
- Testing Scenarios in Power Bi Service
- Creating Work Space Apps
- Assigning Permissions in Work space Apps
- Collaborating on Shared Reports
- Sharing Reports Using Apps
⊕ See more
Unit 19: Working with Parameters and Functions
- Create New Parameter
- Importing web query using parameter
- Creating functions
- Invoking functions
- Defining a list
- Converting List to Table
- Adding Column by invoking custom functions
⊕ See more
Training Packages
Power BI Training Package
Related Courses
Course Reviews
The course was very informative, Adam was able to provide a lot of insights and provide multiple examples and able to adapt to the student's questions and examples. He was extremely good at keeping everyone engaged and had great energy
Very well conducted. Ali ensured key concepts were understood by everyone in the room and no one was left behind. There was plenty of opportunity for questions and feedback on the fly. It was a really good and comfortable learning environment.
Thank you very much Ali for a very informative and interactive training. You made the session easy to understand.
The course is very interactive and well structured. Ali is very knowledgeable and always make sure everyone understands and follows each step before moving on and also answers specific questions from individuals. The course starts with the theory part before moving on to the practical parts. This makes sure we understand what is behind each step of data analysis. The course also shows how to fix some of the common errors and why the errors occur.
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