We provide course about DP-605: 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.
Course outline:
Module 1 - Get data in Power BI:
• 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.
Module 2 - Clean, transform, and load data in Power BI:
• 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.
Module 3 - Design a semantic model in Power BI:
• 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.
Module 4 - Add measures to Power BI Desktop models:
• 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.
Module 5 - Add calculated tables and columns to Power BI Desktop models:
• 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.
Module 6 - Design Power BI reports:
• 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.
Module 7 - Configure Power BI report filters:
• 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.
Module 8 - Create and manage workspaces in Power BI:
• Learn how to navigate the Power BI service, create and manage workspaces and related items, and distribute reports to users.
Module 9 - Manage semantic models in Power BI:
• 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.
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.
Prerequisites:
• Experience with using Excel or other spreadsheet tools
• Experience with using Power BI at a basic level
• Understanding of relational databases
• Basic skills in data visualization and analysis
Language:
• English course material, norwegian or english speaking instructor