Course Schedule
| Date | Time | Price | Option |
|---|---|---|---|
| 09/14/2026 | 09:00 AM - 05:00 PM CT | $1,895.00 | |
| 08/17/2026 | 09:00 AM - 05:00 PM CT | $1,895.00 | |
| 07/13/2026 | 09:00 AM - 05:00 PM CT | $1,895.00 | |
| 05/13/2026 | 09:00 AM - 05:00 PM CT | $1,895.00 | |
| 03/30/2026 | 09:00 AM - 05:00 PM CT | $1,895.00 | |
| 08/24/2026 | 08:00 AM - 04:00 PM CT | $1,895.00 | |
| 06/24/2026 | 08:00 AM - 04:00 PM CT | $1,895.00 | |
| 06/15/2026 | 09:00 AM - 05:00 PM CT | $1,895.00 | |
| 04/27/2026 | 08:00 AM - 04:00 PM CT | $1,895.00 |
Overview
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.
Audience Profile
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.
At Course Completion
- 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
Outline
Module 1: Get Started with Microsoft Data Analytics
Module 2: Prepare Data in Power BI
Module 3: Clean, Transform, and Load Data in Power BI
Module 4: Design a Data Model in Power BI
Module 5: Create Model Calculations using DAX in Power BI
Module 6: Optimize Model Performance in Power BI
Module 7: Create Reports in Power BI
Module 8: Create Dashboards in Power BI
Module 9: Enhance reports for usability and storytelling in Power BI
Module 10: Perform Advanced Analytics in Power BI
Module 11: Manage Datasets in Power BI
Module 12: Create and Manage Workspaces in Power BI
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.
FAQ
Ten (10) business days’ notice is required to reschedule a class with no additional fees. Notify TOPTALENT LEARNING as soon as possible at 469-721-6100 or by written notification to info@toptalentlearning.com to avoid rescheduling penalties.
Please contact our team at 469-721-6100; we will gladly guide you through the online purchasing process.
You will receive a receipt and an enrollment confirmation sent to the email you submitted at purchase. Your enrollment email will have instructions on how to access the class. Any additional questions our team is here to support you. Please call us at 469-721-6100.
If a student is 15 minutes late, they risk losing their seat to a standby student. If a student is 30 minutes late or more, they will need to reschedule. A no-show fee will apply. Retakes are enrolled on a stand-by basis. The student must supply previously issued courseware. Additional fees may apply.
You will receive a ‘Certificate of Completion’ once you complete the class. If you purchased an exam voucher for the class, a team member from TOPTALENT LEARNING will reach out to discuss your readiness for the voucher and make arrangements to send it.