Microsoft Power BI Data Analyst

This course covers the various methods and best practices that are in line with business and technical requirements for modelling, visualizing, and analysing 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.

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.

Accessing your courseware and registering attendance with Microsoft

To access your Official Curriculum (MOC) course materials you will need a Microsoft.com/Learn account. In Learn you will also be able to register your completion of the event and receive your achievement badge. You will be issued with a unique code during your event.

• 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

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.

Please note: If you do not have significant experience with the concepts identified above we strongly suggest you consider attending either Power BI Desktop for Business Users or Power BI Desktop for Technical Users instead.

Important:

Multi-factor authentication (MFA) requirements: For security purposes Microsoft require MFA for access to the Microsoft 365/Dynamics 365 tenants used for this course. As such, you will be need to have a mobile device available upon which you will set up the free of charge Microsoft Mobile phone authenticator App which can be downloaded here with details on how to sign in here

Module 1: Get Started with Microsoft Data Analytics

This module introduces delegates to the Power BI environment and show the tools and techniques involved at a high level.

Lessons

• Data Analytics and Microsoft
• Getting Started with Power BI

Module 2: Prepare Data in Power BI

This module explores identifying and retrieving data from various data sources. The data is the loaded into data model, cleansed, and manipulated. This module also teaches you the process of profiling and understanding the condition of the data, and how to identify anomalies, look at the size and shape of their data..

Lessons

• Connect to data
• Explore the data
• Lab 1 : Preparing Data in Power BI Desktop
• Clean and transform the data
• Enhance dataset performance
• Lab 2 : Load data in Power BI Desktop

Module 3: Design a data model in Power BI

This module teaches data modelling within the modelling and includes relationships (1:1, 1:M, M:M) and creating hierarchies within the model.

Lessons

• Data modelling introduction
• Manage relationships
• Lab 3 : Design a data model in Power BI Desktop

Module 4: Create Model Calculations using DAX in Power BI

This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.

Lessons

• DAX Calculations
• Lab 4 : Create DAX calculations in Power BI Desktop
• Advanced DAX
• Lab 5 : Advanced DAX calculations in Power BI Desktop
• Optimize DAX performance

Module 5: Create Reports in Power BI

This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.

Lessons

• Work with visuals
• Report layout and interactions
• Lab 6 : Designing a report in Power BI Desktop
• Navigation, sort, filters
• Report elements
• Lab 7 : Enhancing reports with interaction and formatting in Power BI Desktop

Module 6: Perform Advanced Analytics in Power BI

This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.

Lessons

• Advanced Analytics
• AI visuals
• Lab 8 : Perform Data Analysis in Power BI Desktop

Module 7: Deploy and maintain Power BI Assets

In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights. You will also learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.

Lessons

• Create and manage workspaces
• Distribute and manage content
• Create a Dashboard
• Using dashboards
• Lab 9 : Creating a Power BI Dashboard

Module 8: Implement row-level security in Power BI

In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.

Lessons

• Row-level security overview
• Lab 10 : Enforce row-level security in Power