This course covers 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 show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
Full Time
The audiences 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 both in the cloud and on-premises.
3 Days
21 Hours
Module 1: Discover data analysis
Module 2: Get started building with Power BI
Module 3: Get data in Power BI
Module 4: Clean, transform, and load data in Power BI
Module 5: Design a semantic model in Power BI
Module 6: Add measures to Power BI Desktop models
Module 7: Add calculated tables and columns to Power BI Desktop models
Module 8: Use DAX time intelligence functions in Power BI Desktop models
Module 9: Optimize a model for performance in Power BI
Module 10: Design Power BI reports
Module 11: Configure Power BI report filters
Module 12: Enhance Power BI report designs for the user experience
Module 13: Perform analytics in Power BI
Module 14: Create and manage workspaces in Power BI
Module 15: Manage semantic models in Power BI
Module 16: Create dashboards in Power BI
Module 17: Implement row-level security
Successful Data Analysts start this role with experience of working with data in the cloud.
Specifically:
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.
English
| Course Fee Payable | ||
|---|---|---|
| Original Fee | Before GST | With GST (9%) |
| Course Fee | $1,500.00 | $1,635.00 |
