20778 – Analyzing Data with Power BIDownload Course Outline
Title: Analyzing Data with Power BI 20778A; 3 days, Instructor-led
Description: The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.
At Course Completion: After completing this course, students will be able to: Perform Power BI desktop data transformation Describe Power BI desktop modelling Create a Power BI desktop visualization Implement the Power BI service Describe how to connect to Excel data Describe how to collaborate with Power BI data Connect directly to data stores Describe the Power BI developer API Describe the Power BI mobile app
Audience & Prerequisites: The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data. Before attending this course, students must have: Excellent knowledge of relational databases and reporting Some basic knowledge of data warehouse schema topology (including star and snowflake schemas) Some exposure to basic programming constructs (such as looping and branching) An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable Familiarity with Microsoft Office applications – particularly Excel
Course Outline Details: Module 1: Introduction to Self-Service BI Solutions Introduces business intelligence (BI) and how to self-serve with BI. Lessons Introduction to business intelligence Introduction to data analysis Introduction to data visualization Overview of self-service BI Considerations for self-service BI Microsoft tools for self-service BI Lab: Exploring an Enterprise BI solution Viewing reports Creating a Power BI report Creating a Power BI dashboard After completing this module, students will be able to: Describe the trends in BI Describe the process of data analysis in Power BI Use the key visualizations in Power BI Describe the rationale for self-service BI Describe considerations for self-service BI Understand how you can use Microsoft products to implement a BI solution Module 2: Introducing Power BI This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations. Lessons Power BI The Power BI service Lab: Creating a Power BI dashboard Connecting to Power BI data Create a Power BI dashboard After completing this module, students will be able to: Develop reports using the Power BI Desktop app Use report items to create dashboards on the Power BI portal Understand the components of the Power BI service including licensing and tenant management Module 3: Power BI At the end of this module students will be able to explain the rationale and advantages of using Power BI. Lessons Using Excel as a data source for Power BI The Power BI data model Using databases as a data source for Power BI The Power BI service Lab: Importing Data into Power BI Importing Excel files into Power BI Viewing reports from Excel files After completing this module, students will be able to: Describe the data model and know how to optimize data within the model Connect to Excel files and import data Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups Module 4: Shaping and Combining Data With Power BI, desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting. Lessons Power BI desktop queries Shaping data Combining data Lab: Shaping and Combining Data Shape power BI data Combine Power BI data After completing this module, students will be able to: Perform a range of query editing skills in Power BI Shape data, using formatting and transformations Combine data together from tables in your dataset Module 5: Modelling Data This module describes how to shape and enhance data. Lessons Relationships DAX queries Calculations and measures Lab: Modelling Data Create relationships Calculations After completing this module, students will be able to: Describe relationships between data tables Understand the DAX syntax, and use DAX functions to enhance your dataset Create calculated columns, calculated tables and measures Module 6: Interactive Data Visualizations This module describes how to create and manage interactive data visualizations. Lessons Creating Power BI reports Managing a Power BI solution Lab: Creating a Power BI report Connecting to Power BI data Building Power BI reports Creating a Power BI dashboard After completing this module, students will be able to: Use Power Bi desktop to create interactive data visualizations Manage a power BI solution Module 7: Direct Connectivity This module describes various connectivity options using Power BI. Lessons Cloud data Connecting to analysis services Lab: Direct Connectivity Direct connectivity from Power BI desktop Direct connectivity from the Power BI service After completing this module, students will be able to: Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop Use Power BI with SQL Server Analysis Services data, including Analysis services models running in multidimensional mode Module 8: Developer API This module describes the developer API within Power BI. Lessons The developer API Custom visuals Lab: Using the Developer API Using custom visuals After completing this module, students will be able to: Describe the developer API Use the developer API to create custom visuals Module 9: Power BI Mobile App This module describes the Power BI mobile app. Lessons The Power BI mobile app Using the Power BI mobile app Power BI embedded After completing this module, students will be able to: Describe the Power BI mobile app Download and use the Power BI mobile app Describe Power BI embedded and when you would want to use it
Start Date: 02/26/2019
End Date: 02/28/2019