Power BI Data Analyst

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.

 

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

 

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.

Job role: Data Analyst

 

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.

 

Topics

 

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