This course will discuss the various methods and best practices that align 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 various sources, including relational and non-relational data. You will also learn how to implement proper security standards and policies across the Power BI spectrum, including datasets and groups. Additionally, you will also learn 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.

Objectives:

• 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

Take a Look Inside Our Curriculum:

Discover data analysis

Duration: 0.5 hours

Would you like to explore the journey of a data analyst and learn how a data analyst tells a story with data? In this module, you explore the different roles in data and learn the different tasks of a data analyst.

Get started building with Power BI

Duration: 0.5 hours

Learn what Power BI is, including its building blocks and how they work together.

Get data in Power BI

Duration: 2 hours

You’ll learn how to retrieve data from a variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You’ll also learn how to improve performance while retrieving data.

Clean, transform, and load data in Power BI

Duration: 2 hours

Power Query has an incredible number of features that are dedicated to helping you clean and prepare your data for analysis. You will learn how to simplify a complicated model, change data types, rename objects, and pivot data. You will also learn how to profile columns so that you know which columns have the valuable data that you’re seeking for deeper analytics.

Design a data model in Power BI

Duration: 1.5 hours

The process of creating a complicated data model in Power BI is straightforward. If your data is coming in from more than one transactional system, before you know it, you can have dozens of tables that you have to work with. Building a great data model is about simplifying the disarray. A star schema is one way to simplify a data model, and you learn about the terminology and implementation of them in this module. You will also learn about why choosing the correct data granularity is important for performance and usability of your Power BI reports. Finally, you learn about improving performance with your Power BI data models.

Add measures to Power BI Desktop models

Duration: 1 hour

In this module, you’ll learn how to work with implicit and explicit measures. You’ll start by creating simple measures, which summarize a single column or table. Then, you’ll create more complex measures based on other measures in the model. Additionally, you’ll learn about the similarities of, and differences between, a calculated column and a measure.

Add calculated tables and columns to Power BI Desktop models

Duration: 0.5 hours

By the end of this module, you’ll be able to add calculated tables and calculated columns to your data model. You’ll also be able to describe row context, which is used to evaluated calculated column formulas. Because it’s possible to add columns to a table using Power Query, you’ll also learn when it’s best to create calculated columns instead of Power Query custom columns.

Use DAX time intelligence functions in Power BI Desktop models

Duration: 1 hour

By the end of this module, you’ll learn the meaning of time intelligence and how to add time intelligence DAX calculations to your model.

Optimize a model for performance in Power BI

Duration: 1 hour

Performance optimization, also known as performance tuning, involves making changes to the current state of the data model so that it runs more efficiently. Essentially, when your data model is optimized, it performs better.

Design Power BI reports

Duration: 1.5 hours

Because Power BI includes more than 30 core visuals, it can be challenging for a beginner to select the correct visual. This module will guide you through selecting the most appropriate visual type to meet your design and report layout requirements.

Configure Power BI report filters

Duration: 1 hour

Report filtering is a complex topic because many techniques are available for filtering a Microsoft Power BI report. However, with complexity comes control, allowing you to design reports that meet requirements and expectations. Some filtering techniques apply at design time, while others are relevant at report consumption time (in reading view). What matters is that your report design allows report consumers to intuitively narrow down to the data points that interest them.

Enhance Power BI report designs for the user experience

Duration: 1.5 hours

The features and capabilities that are covered in this module will help you enhance your reports to make them more refined.

Perform analytics in Power BI

Duration: 1 hour

You will learn how to use Power BI to perform data analytical functions, how to identify outliers in your data, how to group data together, and how to bin data for analysis. You will also learn how to perform time series analysis. Finally, you will work with advanced analytic features of Power BI, such as Quick Insights, AI Insights, and the Analyze feature.

Create and manage workspaces in Power BI

Duration: 0.5 hours

This module explains how you can share reports and datasets with your users and how to create a deployment strategy that makes sense for you and your organization. Furthermore, you’ll learn about data lineage in Microsoft Power BI.

Manage datasets in Power BI

Duration: 0.5 hours

With Microsoft Power BI, you can build multiple reports from a single dataset, meaning that if you change the dataset, all reports will be updated with that change. Additionally, you can clean and prep data once rather than repeatedly for each report.

Create dashboards in Power BI

Duration: 1 hour

Microsoft Power BI dashboards are different than Power BI reports. Dashboards allow report consumers to create a single artifact of directed data that is personalized just for them. Dashboards can be composed of pinned visuals that are taken from different reports. Where a Power BI report uses data from a single dataset, a Power BI dashboard can contain visuals from different datasets.

Implement row-level security

Duration: 0.5 hours

Row-level security (RLS) allows you to create a single or a set of reports that targets data for a specific user. In this module, you will learn how to implement RLS by using either a static or dynamic method and how Microsoft Power BI simplifies testing RLS in Power BI Desktop and Power BI service.