Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
Completion of the Get started with Microsoft data analytics is recommended.
Important:
Multi-factor authentication (MFA) requirements: For security purposes Microsoft might require MFA for access to the Microsoft 365/Dynamics 365 tenants used for this course. As such, you may 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 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.
Prepare and visualize data with Microsoft Power BI Eğitimi, Bilginç IT Academy'nin canlı ve etkileşimli platformu üzerinden evinizin veya ofisinizin konforunda deneyimleyin. Uzman eğitmenlerimizle doğrudan iletişim kurun ve sınıf ortamının dinamizmini sanal dünyada yaşayın.
Prepare and visualize data with Microsoft Power BI Eğitimi için geleneksel ve en etkili öğrenme yöntemi olan yüz yüze eğitimi tercih edin. Bilginc IT Academy’nin özenle seçilmiş lokasyonlarında, profesyonel bir atmosferde kendinizi eğitime odaklayın.
Şirketinizin büyük ölçekli eğitim ihtiyaçlarını, Bilginç IT Academy’nin Prepare and visualize data with Microsoft Power BI Eğitimi Onsite çözümüyle kendi ofisinizde çözün.
Sınıf eğitimlerimizi İstanbul, Ankara ve Londra ofislerimizde düzenlemekteyiz. Kurumunuza özel eğitimleri ise, dilediğiniz tarih ve lokasyonda organize edebiliriz.
