Analyzing Data with PowerBI

COURSE PREREQUISITES 
Before attending this course, students must have:

• 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 OVERVIEW
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 Ap.

COURSE OBJECTIVES
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.

COURSE CONTENT

Module 1: Power BI Desktop Data Transformations
This module describes how to import fata into Power BI.Lessons
What is Power BI?
Power BI data
Transformations
Lab : Import Data to Power BI
Import data to Power BI desktop
Import data from CSV files
Import data from a less structured file
After completing this module, students will be able to:
Describe what Power BI is and what it does.
Describe the types of data.
Perform data transformations.

Module 2: Power BI Desktop Modeling
This module introduces Power BI desktop modeling.Lessons
Optimizing data models
Calculations
Hierarchies
Lab : Manage Power BI data
Manage table relationships
Last year comparison
Year to date
Market share
Optimize the data model
After completing this module, students will be able to:
Optimize data models.
Perform calculations with Power BI data.
Describe and create hierarchies.

Module 3: Power BI Desktop Visualization
At the end of this module students will be able to create a Power BI desktop visualization.Lessons
Visualizing your data
Working with multiple visualizations
Lab : Create reports with visualizations
Cross-tabular reports
Part-to-Whole reports
Relationship reports
Trend reports
Rank reports
After completing this module, students will be able to:
Visualize data using Power BI
Work with multiple visualizations.

Module 4: Power BI Service
This module describes how to implement the Power BI service.Lessons
Working with the Power BI service
Configuring a dashboard
Viewing a Power BI Dashboard
Lab : Implementing the Power BI service
Upload a Power BI report
Share a Power BI dashboard
Configure data refresh
After completing this module, students will be able to:
Work with the Power BI service.
Configure a Power BI dashboard.
View a Power BI dashboard.

Module 5: Working with Excel
This module describes how to connect to Excel as a source of data.Lessons
Importing data from excel
Analyzing data in Excel
Lab : Working with Excel
Uploading an Excel file with an Excel table
Uploading an Excel file with a data model
After completing this module, students will be able to:
Import data from excel.
Analyze data in Excel.

Module 6: Organization Content Packs, Security, and groups
This module describes how to collaborate with Power BI data.Lessons
Collaboration
Content packs
Lab : Working with Organization Content Packs
Create a content pack
Edit a content pack
Share a content pack
After completing this module, students will be able to:
Share data for collaborative purposes.
Create, edit, and share content packs.

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:
Access data in SQL Azure.
Connect to SQL Server Analysis Services.

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.

Duration: 3 Day

Cost: £995 + Vat

Microsoft SQL Server Training Scotland, Glasgow, Edinburgh, Inverness, Aberdeen and onsite course available throughout the UK.