DA-100T00 Analyzing Data with Power BI
8/17/2021 - 8/20/20219/28/2021 - 10/1/202111/15/2021 - 11/18/2021COURSE LENGTH:
9:00am - 4:30pm
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
AUDIENCE AND PREREQUISITES
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. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.
*Course Cost listed does not include the cost of courseware. Course to run is subject to a minimum enrollment. Course may run virtually as a Virtual Instructor-Led (VILT) class if the minimum enrollment is not met. For More information, please contact: Learn@vtec.org or call 207-775-0244.
Module 1: Get Started with Microsoft Data Analytics Data Analytics and Microsoft Getting Started with Power BI Lab : Getting StartedModule 2: Prepare Data in Power BI Get data from various data sources Optimize performance Resolve data errors Lab : Preparing Data in Power BI DesktopModule 3: Clean, Transform, and Load Data in Power BI Data shaping Enhance the data structure Data Profiling Lab : Transforming and Loading DataModule 4: Design a Data Model in Power BI Introduction to data modeling Working with tables Dimensions and Hierarchies Lab : Data Modeling in Power BI Desktop Create Model Relationships, Configure Tables, Review the model interface, Create Quick Measures Lab : Advanced Data Modeling in Power BI Desktop Configure many-to-many relationships,Enforce row-level securityModule 5: Create Measures using DAX in Power BI Introduction to DAX DAX context Advanced DAX Lab : Introduction to DAX in Power BI Desktop Create calculated tables and Columns, Create measures. Lab : Advanced DAX in Power BI Desktop Use the CALCULATE() function to manipulate filter context use Time Intelligence functionsModule 6: Optimize Model Performance Optimize the model for performance Optimize Direct Query Models Create and manage AggregationsModule 7: Create Reports Design a report Enhance the report Lab : Designing a report in Power BI Create a live connection in Power BI Desktop Design a report Configure visual fields and format properties Lab : Enhancing Power BI reports with interaction and formatting Create and configure Sync Slicers Create a drill through page Apply conditional formattingModule 8: Create Dashboards Create a Dashboard Real-time Dashboards Enhance a Dashboard Lab : Designing a report in Power BI Desktop - Part 1 Create a Dashboard, Pin visuals to a Dashboard, Configure a Dashboard tile alert, Use Q&A to create a dashboard tileModule 9: Create Paginated Reports in Power BI Paginated report overview Create Paginated reports Lab : Creating a Paginated report Use Power BI Report Builder, Design a multi-page report layout, Define a data source and dataset, Create a report parameter, Export a report to PDFModule 10: Perform Advanced Analytics Advanced Analytics Data Insights through AI visuals Lab : Data Analysis in Power BI Desktop Create animated scatter charts Use the visual to forecast values Work with Decomposition Tree visual Work with the Key Influencers visualModule 11: Create and Manage Workspaces Creating Workspaces Sharing and Managing Assets Lab : Publishing and Sharing Power BI Content Map security principals to dataset roles Share a dashboard Publish an AppModule 12: Manage Datasets in Power BI Parameters DatasetsModule 13: Row-level security Security in Power BI