HARTMANN software group

20778: Analyzing Data With Power BI Training in Johns Creek

Enroll in or hire us to teach our 20778: Analyzing Data With Power BI class in Johns Creek, Georgia by calling us @303.377.6176. Like all HSG classes, 20778: Analyzing Data With Power BI may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, 20778: Analyzing Data With Power BI may be taught at one of our local training facilities.

Answers to Popular Questions:

  
Yes, this class can be tailored to meet your specific training needs.
Yes, we provide consulting services.
Yes, group discounts are provided.
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Course Description

  
The main purpose of the Microsoft SQL Server 2016 Training Course is to give students and report creators a good understanding of data analysis with Power BI. The Microsoft SQL Server 2016 Training Course includes creating visualizations, the Power BI Service, and the Power BI Mobile App... After completing this Microsoft SQL Server 2016 Training 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.
Course Length: 3 Days
Course Tuition: $1190 (US)

Prerequisites
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

  
 
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 DataWith 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: Modeling data
 
This module describes how to shape and enhance data.
 
Lessons
 
Relationships
DAX queries
Calculations and measures
Lab: Modeling 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 modles running in multidimentional mode.
 
Module 8: The 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
 
Power BI mobile apps
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.

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