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Analyzing Data with Microsoft Power BI

  • Intermediate
  • 18 and older
  • $1,395
  • Live, Interactive Online Classroom
  • 24 hours over 3 sessions
Analyzing Data with Microsoft Power BI
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  • $1,395
  • Live, Interactive Online Classroom
  • 24 hours over 3 sessions
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Class Description

Description

What you'll learn in this data visualization training:

The Data Science training course aims to provide an in depth understanding and knowledge of data analysis with Power BI. The elements of this course include crafting visualizations, the Power BI Service, and the Power BI Mobile App.

The average salary for Business Intelligence (BI) Analyst with Microsoft Power BI skills is $60,297 per year.

Course Objective

This Data Science training course will make the student capable of:
  • Conducting the Power BI service.
  • Explaining how to carry out work with Power BI data.
  • Executing Power BI desktop data transformation.
  • Connecting directly to data stores.
  • Depicting Power BI desktop modelling
  • Depicting the functionality the Power BI mobile app.
  • Explaining how to collaborate with Excel data.
  • Depicting the Power BI developer API.
Audience:

This course is intended for:
  • SQL Server report creators who are interested in alternative methods of presenting data.
Prerequisites:

Certain prerequisites are set for this Power BI data analysis course so students are better able to grasp information taught in this course: 
  • Should be able to work with Microsoft Office applications – mainly Excel. 
  • General know how of dealing with business finances to generate revenues and profits and preference is given for financial accounting. 
  • Professional understanding of relational databases and reporting. 
  • Basic information regarding data warehouse schema topology (including star and snowflake schemas). 
  • Some prior experience with basic programming constructs (such as looping and branching).
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 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 BIShape 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 dashboardAfter 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: 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.

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

We are saving your seat! In order to provide you with the highest quality training at the best price, we ask that you abide by our cancellation policy. You may cancel a class without a cancellation charge up to 10 business days prior to the class start date. If you cancel less than 10 business days prior to the class start date, then QuickStart will charge you the full amount of the class. You will have the option to reschedule the class at no additional fee - on a space available basis only. If you are unable to reschedule the class because of personal reasons or QuickStart no longer offers the class, no refund will be provided. QuickStart asks that you notify us as soon as possible if you need to reschedule a class.

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