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.

Duration

4 Days

Target Audience

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.

Topics

Introduction

Cleaning and Transforming Data

Designing a Data Model

Developing a Data Model

Creating Model Calculations with DAX

Optimizing Model Performance

Creating Reports

Enhancing Reports for Usability and Performance

Creating Dashboards

Enhancing Reports and Applying Advanced Analytics

Managing and Sharing Power BI Assets

Working with Paginated Reports in Power BI

A more comprehensive course outline is available in the Course Download section, to the right of this page.