Power BI may very well be one of the most aptly named tools ever developed by Microsoft, giving analysts and developers a powerful business intelligence and analytics playground while still packaging it in a surprisingly lightweight application. Using Microsoft Power BI, the processes of data discovery, data modeling, data visualization, and sharing are made elegantly simple using a single product. These processes are so commonplace when developing Power BI solutions that this book has adopted sections that follow this pattern. However, from your perspective, the really exciting thing maybe that development problems that would previously take you weeks to solve in a corporate BI solution can now be accomplished in only hours.
Power BI is a Software as a Service (SaaS) offering in the Azure cloud, and, as such, the Microsoft product team follows a strategy of cloud-first as they develop and add new features to the product. However, this does not mean that Power BI is only available in the cloud. Microsoft presents two options for sharing your results with others. The first, the most often-utilized method is the cloud-hosted Power BI Service, which is available to users for a low monthly subscription fee. The second option is the on-premises Power BI Report Server, which can be obtained through either your SQL Server licensing with Software Assurance or a subscription level known as Power BI Premium. Both solutions require a development tool called Power BI Desktop, which is available for free, and is where you must start to design your solutions. Power BI Training
Using the Power BI Desktop application enables you to define your data discovery and data preparation steps, organize your data model, and design engaging data visualizations on your reports. In this first chapter, the development environment will be introduced, and the data discovery process will be explored in depth. The topics detailed in this chapter include the following:
- Getting started
- Importing data
- Direct query
- Live Connection
Power BI Desktop
Following the numbered figures, let's learn the names and purposes of some of the most important features in the Power BI Desktop:
- Get Data: Used for selecting and configuring data sources.
- Edit Queries: Launches the Power Query Editor, which is used for applying data transformations to incoming data.
- Report View: The report canvas used for designing data visualizations. This is the default view open when the Power BI Desktop is launched.
- Data View: Provides a view of the data in your model. This looks similar to a typical Excel spreadsheet, but it is read-only.
- Relationship View: Primarily used when your data model has multiple tables and relationships that need to be defined between them.
The Power BI Desktop is available free and can be found via a direct download link at Power BI(https://powerbi.microsoft.com/), or by installing it as an app from Windows Store. There are several benefits in using the Windows Store Power BI app, including automatic updates, no requirement for admin privileges, and making it easier for planned IT roll-out of Power BI. Power BI Online Training
Note
If you are using the on-premises Power BI Report Server for your deployment strategy, then you must download a different Power BI Desktop. A separate install is required because updates are released more often to Power BI in the cloud. This book will be written primarily under the assumption that the reader is using the cloud-hosted Power BI Service as its deployment strategy.
Once you download, install, and launch the Power BI Desktop, you will likely be welcomed by the Start screen, which is designed to help new users find their way. Close this start screen so we can review some of the most commonly used features of the application:
The Microsoft Power BI Training by igmGuru is planned to assist users in dynamic learning about Power BI, Microsoft’s latest business intelligence tool used for Analytics and data visualization.
The primary goal of Online Power BI Course is to help users attain a working knowledge of exploring and analyzing datasets using Power BI and make easy to use visualizations into the dashboard using the tools provided by Power BI platform.
The Power BI Online Training provides a basic understanding of Data types, creation and exploration of Data, adding slicers, optimizing data, map visualization, designing funnel, waterfall charts, scatter plots, developing quick insights, and many more technical details about Power BI.
IgmGuru’s Power BI Online Course helps users to culminate an outstanding knowledge of Analytics and data visualization using Microsoft’s Power BI training Online and develop a technical aptitude to design interactive visualizations based on organizational requirements.To learn Power BI online, igmGuru provides an all-inclusive preparatory tool for users to gauge the technical expertise in Power BI Desktop.
The course is designed to offer a varied range of topics that are meticulously aligned in a curated Power BI Learning path.
The Online Power BI Course assists users from the installation of Power BI Desktop to developing insights and creating workshops using data.
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Power BI can be best defined in the field of analytics as a solution that helps the organization to share the vision among everyone.
In simpler words, with the help of Power BI, the client can also distribute his/her insight.
Particularly talking about analytics, Microsoft Power BI is a business intelligence platform.
Since the software mainly performs for non-technical users, therefore, the interface has been kept very intuitive.
The integration and familiarity make the software very versatile and self-serving tool that would require a little upfront training.
The results can be acclaimed in several different ways, such as telling stories through charts and data visualization.
Microsoft Power Bi is a platform that helps you with data visualization that utilizes scalable resources that assist to obtain deeper data insight.Out of many, the key exciting elements of Microsoft Power BI areReceive conversation language-mediated solutions to your business queries giving seamless data experienceYou can connect with all data sources with analyzing, sharing, and promoting insight across the business companyExcellent data utility to share across Microsoft office applications.
This helps every team to understand data insight concerning their task and data-driven decisionsIt provides end to end data protectionMicrosoft Power BI has interoperabilityThe major customers of Microsoft Power Bi have made it to the top which has increased its demand across the business market.Here is a list of companies utilizing Microsoft Power BI solutions.CERNERCUMMINSNEDBANKHEATL’OREALIf you are passionate about a data-driven approach in the business circle, Microsoft Power BI certification is worth it!CertificationThe Microsoft Power BI provides two major certifications such as Exam DA-100: Analyzing Data with Microsoft Power BIExam 70-778: Analyzing and Visualizing Data with Microsoft Power BI Exam DA-100: Analyzing Data with Microsoft Power BIThe certification exam enables me to achieve skills and knowledge for a data analyst role.The certification exam validates data handling skills such as:Data modelingData visualizationData analysisData deploymentOnce you get well versed with the above-mentioned skills, you can carry out various responsibilities of a data analyst roleHere is a list of data analyst responsibilities As a data analyst, you will design and build data modelsTransforming and cleaning dataAdvanced analytic capabilitiesA data analyst is also responsible to coordinate with stakeholders and meet end-user client requirement The Actual Questions for DA 100 exams areYou have a custom connector that returns ID, From, To, Subject, Body, and Has Attachments for every email sent during the past year.
More than 10 million records are returned.You build a report analyzing the internal networks of employees based on whom they send emails.You need to prevent report recipients from reading the analyzed emails.
From the Model view set the Subject and Body columns to Hidden.You have the tables shown in the following table.The Impressions table contains approximately 30 million records per month.You need to create an ad analytics system to meet the following requirements:✑ Present ad impression counts for the day, campaign, and Site_name.
The analytics for the last year is required.✑ Minimize the data model size.Which two actions should you perform?
Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.
For any non-trivial experiment, one desires to write prolonged, Tedious, and blunders-susceptible code to unify calling techniques and cope with output.
The MLS Package deal offers a smooth, easy-to-use, and flexible domain-precise language for gadget analysing experiments in R. It helps class, regression, clustering, and survival evaluation With more than one hundred sixty modelling techniques.Check Out Online Power BI CourseImplemented FunctionalityMlr uses R's S3 item gadget and follows a clean shape.
Lessons encapsulate the information and other applicable statistics like the goal variable's name for supervised learning troubles.
Cost-touchy type with remark-dependent costs is supported thru a price-touchy one-Versus-one method, which delegates to standard weighted binary classification.Evaluation and Resampling.
Mlr provides 46 specific performance measures and implements the resampling techniques subsampling (including simple holdout), bootstrapping (OOB, B632, B632+), and cross-validation (normal, go away-one-out, repeated).
In exercise, successful modelling frequently relies upon some alternatives like the applied learner, its hyperparameter settings, or the statistics pre-processing.
