Course Objectives
By the end of the programme, participants will be able to:
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI
Who Should Attend
- The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Course Pre-requisites
- In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.
Course Outline
Module 1: Get Started with Microsoft Data Analytics
- Data Analytics and Microsoft
- Getting Started with Power BI
Lab : Getting Started
▪ Getting Started
Module 2: Prepare Data in Power BI
- Get data from various data sources
- Optimize performance
- Resolve data errors
Lab : Preparing Data in Power BI Desktop
▪ Prepare Data
Module 3: Clean, Transform, and Load Data in Power BI
- Data shaping
- Enhance the data structure
- Data Profiling
Lab : Transforming and Loading Data ▪ Loading Data
Module 4: Design a Data Model in Power BI
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
Lab : Data Modeling in Power BI Desktop
▪ Create Model Relationships
▪ Configure Tables
▪ Review the model interface
▪ Create Quick Measures
Lab : Advanced Data Modeling in Power BI Desktop
• Configure many-to-many relationships
• Enforce row-level security
Module 5: Create Measures using DAX in Power BI
- Introduction to DAX
- DAX context
- Advanced DAX
Lab : Introduction to DAX in Power BI Desktop
▪ Create calculated tables
▪ Create calculated columns
▪ Create measures
Lab : Advanced DAX in Power BI Desktop
▪ Use the CALCULATE() function to manipulate filter context
▪ use Time Intelligence functions
Module 6: Optimize Model Performance
- Optimze the model for performance
- Optimize DirectQuery Models
- Create and manage Aggregations
Module 7: Create Reports
- Design a report
- Enhance the report
Lab : Designing a report in Power BI
▪ Create a live connection in Power BI Desktop
▪ Design a report
▪ Configure visual fields adn format properties
Lab : Enhancing Power BI reports with interaction and formatting
▪ Create and configure Sync Slicers
▪ Create a drillthrough page
▪ Apply conditional formatting
▪ Create and use Bookmarks
Module 8: Create Dashboards
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
Lab : Designing a report in Power BI Desktop – Part 1
▪ Create a Dashboard
▪ Pin visuals to a Dashboard
▪ Configure a Dashboard tile alert
▪ Use Q&A to create a dashboard tile
Module 9: Create Paginated Reports in Power BI
- Paginated report overview
- Create Paginated reports
Lab : Creating a Paginated report
▪ Use Power BI Report Builder
▪ Design a multi-page report layout
▪ Define a data source
▪ Define a dataset
▪ Create a report parameter
▪ Export a report to PDF
Module 10: Perform Advanced Analytics
- Advanced Analytics
- Data Insights through AI visuals
Lab : Data Analysis in Power BI Desktop
▪ Create animated scatter charts
▪ Use teh visual to forecast values
▪ Work with Decomposition Tree visual
▪ Work with the Key Influencers visual
Module 11: Create and Manage Workspaces
- Creating Workspaces
- Sharing and Managing Assets
Lab : Publishing and Sharing Power BI Content
▪ Map security principals to dataset roles
▪ Share a dashboard
▪ Publish an App
Module 12: Manage Datasets in Power BI
• Parameters
• Datasets
Module 13: Row-level security
- Security in Power BI
