This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
Student Testimonials
Instructor did a great job, from experience this subject can be a bit dry to teach but he was able to keep it very engaging and made it much easier to focus.
Student
Excellent presentation skills, subject matter knowledge, and command of the environment.
Student
Instructor was outstanding. Knowledgeable, presented well, and class timing was perfect.
Student
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Prerequisites
Successful Data Analysts start this role with experience of working with data in the cloud.
Specifically:
Understanding core data concepts.
Knowledge of working with relational data in the cloud.
Knowledge of working with non-relational data in the cloud.
Knowledge of data analysis and visualization concepts.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.
Detailed Class Syllabus
Learning Path 1: Get Started with Microsoft Data Analytics
Data Analytics and Microsoft
Getting Started with Power BI
Learning Path 2: Prepare Data in Power BI
Get data from various data sources
Learning Path 3: Clean, Transform, and Load Data in Power BI
Data shaping
Enhance the data structure
Data Profiling
Learning Path 4: Design a Data Model in Power BI
Introduction to data modeling
Working with tables
Dimensions and Hierarchies
Learning Path 5: Create Model Calculations using DAX in Power BI
Introduction to DAX
DAX context
Advanced DAX
Learning Path 6: Optimize Model Performance in Power BI
Optimze the model for performance
Optimize DirectQuery Models
Create and manage Aggregations
Learning Path 7: Create Reports in Power BI
Design a report
Enhance the report
Learning Path 8: Create Dashboards in Power BI
Create a Dashboard
Real-time Dashboards
Enhance a Dashboard
Learning Path 9: Enhance reports for usability and storytelling in Power BI
Paginated report overview
Create Paginated reports
Learning Path 10: Perform Advanced Analytics in Power BI
Advanced Analytics
Data Insights through AI visuals
Learning Path 11: Manage Datasets in Power BI
Parameters
Datasets
Security in Power BI
Learning Path 12: Create and Manage Workspaces in Power BI
Creating Workspaces
Sharing and Managing Assets