Overview
Develop dynamic reports with Microsoft Power BI
Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
Skills Covered
- Get data in Power BI
- Clean, transform, and load data in Power BI
- Design a semantic model in Power BI
- Add measures to Power BI Desktop models
- Add calculated tables and columns to Power BI Desktop models
- Design Power BI reports
- Configure Power BI report filters
- Create and manage workspaces in Power BI
- Manage semantic models in Power BI
Who Should Attend
- IT professionals
Course Curriculum
Prerequisites
Completion of the Get started with Microsoft data analytics is recommended.
Download Course Syllabus
Course Modules
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.
Learning objectives
By the end of this module, you’ll be able to:
- Identify and connect to a data source
- Get data from a relational database, like Microsoft SQL Server
- Get data from a file, like Microsoft Excel
- Get data from applications
- Get data from Azure Analysis Services
- Select a storage mode
- Fix performance issues
- Resolve data import errors
Power Query has an incredible number of features that are dedicated to helping you clean and prepare your data for analysis. You’ll learn how to simplify a complicated model, change data types, rename objects, and pivot data. You’ll also learn how to profile columns so that you know which columns have the valuable data that you’re seeking for deeper analytics.
Learning objectives
By the end of this module, you’ll be able to:
- Resolve inconsistencies, unexpected or null values, and data quality issues.
- Apply user-friendly value replacements.
- Profile data so you can learn more about a specific column before using it.
- Evaluate and transform column data types.
- Apply data shape transformations to table structures.
- Combine queries.
- Apply user-friendly naming conventions to columns and queries.
- Edit M code in the Advanced Editor.
The process of creating a complicated semantic 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 semantic model is about simplifying the disarray. A star schema is one way to simplify a semantic 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 semantic models.
Learning objectives
In this module, you will:
- Create common date tables
- Configure many-to-many relationships
- Resolve circular relationships
- Design star schemas
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.
Learning objectives
By the end of this module, you’ll be able to:
- Determine when to use implicit and explicit measures.
- Create simple measures.
- Create compound measures.
- Create quick measures.
- Describe similarities of, and differences between, a calculated column and a measure.
Prerequisites
Experience creating Power BI Desktop models and designing Power BI report layouts, in addition to an understanding of how to write Data Analysis Expressions (DAX) formulas
By the end of this module, you’ll be able to add calculated tables and calculated columns to your semantic 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.
Learning objectives
By the end of this module, you’ll be able to:
- Create calculated tables.
- Create calculated columns.
- Identify row context.
- Determine when to use a calculated column in place of a Power Query custom column.
- Add a date table to your model by using DAX calculations.
Prerequisites
Experience creating Microsoft Power BI Desktop models and designing Power BI report layouts, and an understanding of how to write Data Analysis Expressions (DAX) formulas
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.
Learning objectives
In this module, you will:
- Learn about the structure of a Power BI report.
- Learn about report objects.
- Select the appropriate visual type to use.
Prerequisites
Experience creating reports and an understanding of the audience and purpose of an analytical report
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.
Learning objectives
In this module, you will:
- Design reports for filtering.
- Design reports with slicers.
- Design reports by using advanced filtering techniques.
- Apply consumption-time filtering.
- Select appropriate report filtering techniques.
Prerequisites
Experience creating reports and an understanding of the audience and purpose of an analytical report.
Learn how to navigate the Power BI service, create and manage workspaces and related items, and distribute reports to users.
Learning objectives
In this module, you will:
- Create and manage Power BI workspaces and items.
- Distribute a report or dashboard.
- Monitor usage and performance.
- Recommend a development lifecycle strategy.
- Troubleshoot data by viewing its lineage.
- Configure data protection.
With Microsoft Power BI, you can use a single semantic model to build many reports. Reduce your administrative overhead even more with scheduled semantic model refreshes and resolving connectivity errors.
Learning objectives
In this module, you will:
- Use a Power BI gateway to connect to on-premises data sources.
- Configure a scheduled refresh for a semantic model.
- Configure incremental refresh settings.
- Manage and promote semantic models.
- Troubleshoot service connectivity.
- Boost performance with query caching (Premium).
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Training Options
- VILT: Virtual Instructor-Led Training
- ILT: Instructor-Led Training
RM1,200.00Enroll Now
RM1,200.00Enroll Now
Exam & Certification
There is no associated certification for this course.
