Data Visualization
Data Visualization is the most essential concept that is mainly used to represent the data in the graphical format. By this Data visualization, the data is represented in the form of images that mainly involves communication among the data using a systematic mapping between the values and the marks on a graph. In this, we make use of visual elements to represent the data like charts, maps, graphs, and visualization tools to make users understand clearly the outliers, trends, and many more.
In this first and foremost module, you will learn in detail about the introduction to data visualization, custom visuals, the need for data visualization, how to represent data by using visualization tools, a clear understanding of visual elements, z-orders, knowledge about maps, charts, graphs, patterns, KPI visuals, how to make data more communicative and efficient to the users, gain in-depth knowledge about data analysis, and key benefits of data visualization.
Introduction to Power BI
Power BI is considered as a business analytics service designed and created by Microsoft. The main goal of Microsoft Power BI is to provide interactive and effective data visualization capabilities for the end-users to get a clear idea about the trends and outliers. This Power BI platform allows the end-users to design and create their own reports and dashboards.
In this section, you will learn clearly about the introduction to data visualization, working with Business analytics, data modeling, how to create interactive reports, Power BI transformations, how to use visual elements, Business Intelligence, key features of Power BI, how to generate reports and dashboards in Power BI desktop, knowledge about maps, graphs, and key benefits of Power BI.
Data Extraction
Introduction to Data extraction, how to extract data from various sources, how to make use of filters in Power BI while extracting data, Power BI export to xslx, Power BI embedded export to excel, Power BI data analysis in excel, knowledge about Power BI multiple data resources, how to extract data from web pages to Power BI Desktop, how to get data from files for Power BI, how to import data from data models, understand how to import data into Power BI Desktop, Power BI export database to excel, Data flow in Power BI, what is Power BI query, knowledge about Power BI data wrangling, how to export table from Power BI Desktop to excel, Working with Azure SQL database, Data mashup, and knowledge about Power BI Personal Gateway.
Power Query for Data Transformation
What is Power Query, Introduction to Power BI, installation of Power BI, introduction to Query editor, gain in-depth knowledge about data transformation, various configuration settings, basic requirements, understand clearly about transpose table, M advanced data transformation techniques, Slicers and filters, error handling, how to write various custom functions, how to create power query excel, introduction to Power Pivot, how to make use of wide range of data sources into excel for visualization and analytics, how to transform data, knowledge about power query fro scratch, how to format data, Pivot and Unpivot, time calculations, data types, summary tables, conditional columns, and how to append tables?
Power Pivot Data Modeling
Introduction to Power Pivot, the need of Power Pivot, what is a data model, comparison between Power Pivot and a Power Query, how to integrate data from multiple tables, how to build a relational data source inside the excel, real-time Power Pivot examples, gain in-depth understanding about Pivot Tables and Pivot Charts, how to make use of Power Pivot, Schema relations, Context relations, Cumulative charts, Context over relations, calculated tables, how to embed Power Pivot in Power BI Desktop, time and date functions, Time intelligence function, Evaluation Context, and typed datasets.
Data Analysis Expressions (DAX)
What are Data Analysis Expressions, how these expressions are used for calculations and data analysis, gain in-depth knowledge about DAX functions, what are the different Data Analysis Expression formulas, what is a DAX query, real-time DAX query examples, DAX syntax, A Comparison between DAX and SQL, how to assign DAX values with filters, what are the operators and library of functions used in DAX, how to create DAX queries, what are the advanced features of DAX, and advantages of using DAX expressions?
Data Visualization with Analytics
Data Visualization is the most essential concept that is mainly used to represent the data in the graphical format. By this Data visualization, the data is represented in the form of images that mainly involves communication among the data using a systematic mapping between the values and the marks on a graph. In this, we make use of visual elements to represent the data like charts, maps, graphs, and visualization tools to make users understand clearly the outliers, trends, and many more.
In this first and foremost module, you will learn in detail about the introduction to data visualization, custom visuals, the need for data visualization, how to represent data by using visualization tools, a clear understanding of visual elements, Value-based analytics, Hierarchies, embedding dashboards in applications, Custom visualizations, what is Power View, how to create charts, reports using power view, bottom-up analytics, how to sort data using Power View, and SandDance Visualization.
Power Q&A
Introduction to Power Q&A, need of Power Q&A, how Power Q&A is useful for Power BI consumers, what are the Q&A features in Power BI, Knowledge about Natural Language Query in Power BI, Q&A with Power BI Embedded, Introduction to Power Pivot, What is Power Query, understand Power BI Q&A with real-time examples, Power BI Q&A visuals, what are the data discovery methodologies, knowledge about ad hoc analytics building, best practices of Power Q&A, how to integrate with SaaS applications, how to solve tough queries using natural language processing, and key essentials of Power BI Q&A.
Power BI Desktop
Power BI Desktop is a free application that can be on your local computers to visualize and transform the data. Using Power BI Desktop you can connect to multiple data sources and then can combine them together in the form of the data model. In this section, you will gain in-depth knowledge about the Introduction to Power BI, how to install Power BI, how to gain actionable insights of data, what is Power BI Desktop ecosystem, how to master data visualization, how to deploy data gateways, how to aggregate data from multiple data sources, how Power Pivot works on Power BI Desktop, how Power Query works on Power BI Desktop, reports, datasets, dashboards, how to manage groups, advancements in Power BI Desktop, and key essentials of Power BI Desktop.
Power BI Administration
In Power BI the administrator acts as the guardian for all the data. Introduction of Power BI, What is Power Bi administration, what are the key members that are included in the Power BI administrator, BI developers, analysts, knowledge about Power BI service administrator, what are the specific roles that administrator provide, what are the Power BI roles and responsibilities, different Power BI activities, knowledge about Power BI port, understanding Power BI quick, Power platform administrator, what are the different user permissions in Power BI, managements of accounts in Power BI, what are the Power BI usage metrics, and how to run Power BI as an administrator.
Power BI Report Server
Introduction to Power BI, how to install Power BI, What is a Power BI report server, how to connect report server with a web portal, how to access different reports in various ways, how to view the reports in web, mobile phone, browser, how to make those reports available for the users in the inbox, what is the difference between the power bi report server and the Power BI service, how to make accurate solutions for reporting, how to move the reports to Cloud, introduction to Power BI Service, what are the various Power BI report server data sources available for the users, what are the limitations of Power BI report server, key features of Power BI report server, what are the latest versions available in Power BI Report Server, what are the new editions in Power BI report server developer, and what are the advantages of using Power BI report server.
Power BI Reporting Services
Introduction to Power BI, installation of Power BI, what are the reporting services, what’s new in SQL server reporting services RC1, how to monitor your businesses, what is a self-service prep in Power BI, how to make use of dashboards, what are the analysis services, what are the paginated reports, what are the template apps, how to manage Power BI reports, what is Power BI report server, what are the key features, reports, dashboards, what is a data-prep, gain knowledge about reporting, what is an enterprise-scale modeling, what is an enterprise BI, advanced analytics with Azure, how to support the common data models, and what are latest updates in reporting services.
Publishing and Sharing
In this section, you will learn in detail about to how to create, publish, share the reports, how to publish reports from Power BI Desktop in Power BI Service, key features of Power BI mobile services, how to establish the connection between the content packs in the groups in Power BI Desktop, how to publish the reports on web, how to navigate those reports to Power BI service, how to share and publish the dashboards in your organization, how to publish reports to Sharepoint, how to add data to visuals in Power BI, how to open Power BI report in Power BI Desktop, how to share Power BI reports without the availability of Pro, and how to share reports with non-pro users.