ADVANCED
PL 300
Power BI
Expert
For who?
Power BI
Expert
1.0 Training
2.0 Self Learning
3.0 Exam Preparation
1.0 Training
OBJECTIVE:
Comprehension. Learn from scratch how to use the key features in order to effectively analyse your data, create interactive reports and share your findings throughout your organization.
DURATION:
14h split into 4 sessions (3.5h each)
FORMAT:
Real time Training Online. Access to online environment, call via Zoom, MS Teams or Webex.
FORMAT:
Understanding Power Pivot and Power BI
Data Model and Dashboard
Building First Report in Power BI
Creating Relationships
Finalizing the Report
Power Query
Combining Data
Implementation
Visualization
Time Series
Tooltips
Slicers
Filters
Drilldown and Drill Through
Bookmarks

End to End Case Study
Combining Data
Dimension Tables Creation
Building Report Step by Step

2.0 Self Learning
OBJECTIVE:
Independence. Practice Power BI concepts on your own, gather questions, clear doubts and improve understanding. Whenever necessary, review the concepts with our self paced Power BI Learning Path or during the real time session.
DURATION:
1 case per week for 3 weeks. Participants get the case at the beginning of the week, work on it throughout the week and meet online on Friday for 3.5h recap session and additional topics discussion.
FORMAT:
Guided Cases + Real Time Session to review and address questions.
Additionally at this point participants also have access to the self paced training content.
Ideally during that time, the participants work additionally on their own, real Power BI business cases.
TOPICS:
Putting topics from the Training into practice and enhancing with exam topics (i.e. Performance Optimization).
ACCESS (additional to 1.0 Training):
Cases and Solutions
FORMAT:
TOPICS:
ACCESS (additional to 1.0 Training):
3.0 Exam Preparation
OBJECTIVE:
Passing the exam. Understand the exam structure, setup and prepare for the answering the questions.
DURATION:
Self study 3 x 2h, additionally 3 real time sessions 3.5h each.
FORMAT:
Solve 3 exams in 3 weeks, every Friday 3.5h session to go through questions together + discuss additional questions chosen by the trainer.
TOPICS:
Prepare the Data
(Data Sources, Data Profiling, Cleaning and Transformation)
Data Modeling
(Design and Development of Data Model, DAX Measures, Performance Optimization)
Visualization
(Creating Reports and Dashboards, Adding Usability Features)
Analyzing the Data
(Analysis Tools and Techniques, Advanced Analysis i.e. Time series)
Deployment and Maintenance
(Dataset Management, Workspace Management)
ACCESS (additional to 2.0 Self Learning):
Exam Guide - exam process, preparation required, insights on exam conduct
3 practice exams
FORMAT:
TOPICS:
ACCESS (additional to 2.0 Self Learning):