Introduction:
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.
About the Trainer:
I am a Microsoft Certified Data Analytics Professional
and Trainer. I have worked with Telecom, Banks, Insurance and Healthcare
operators in MENA, EEA and USA. Optimizing processes and removing bottle-necks
in planning and implementation.
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.
Course content:
·
Module 1: Introduction
·
Module 2: Getting and Profiling Data
·
Module 3: Cleaning and Transforming Data
·
Module 4: Designing a Data Model
·
Module 5: Developing a Data Model
·
Module 6: Creating Model Calculations with DAX
·
Module 7: Optimizing Model Performance
·
Module 8: Creating Reports
·
Module 9: Enhancing Reports for Usability and
Performance
·
Module 10: Creating Dashboards
·
Module 11: Enhancing Reports and Applying
Advanced Analytics
·
Module 12: Managing and Sharing Power BI Assets
·
Module 13: Working with Paginated Reports in
Power BI
