- Overview
- Course Outline
- Virtual Instructor Live
Microsoft Power BI - Data Analysis Practitioner
Where: Virtual Instructor Live Training
With a high-speed internet connection, Virtual Instructor-Led Training gives you the freedom to attend class from anywhere in the world. We use Zoom Technology to ensure the virtual experience has that personal touch you deserve. Our hands-on, virtual lab environment gives you real-world experience to translate your instruction to applicable job skills.
When: Thursday, November 12, - Friday, November 13
9:00am - 5:00pm each day.
Workshop Organizer: United Training and NERCOMP
Registration Fee:
NERCOMP Member: $480 (40% off list price)
Non-Member: $800
Registration fee includes 2 days of training and courseware.
Course Overview
As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.
Who Should Attend
This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools such as Microsoft Excel or SQL Server reporting server to perform numerical or general data analysis. They are responsible for conducting data analysis and providing reports about their analysis, and are looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients.
Course Objectives
Students will:
- Analyze data with self-service BI.
- Connect to data sources.
- Perform advanced data modeling and shaping.
- Visualize data with Power BI.
- Enhance data analysis.
- Model data with calculations.
- Create interactive visualizations.
Registration Cancellation Policy:
By clicking on the "Register Now" button, you are indicating a commitment to attend and will be held responsible for the registration fee. Your fee can be refunded if you notify us of a cancellation at least 12 business days prior to the event via email to nercomp@nercomp.org.
Event Disclaimer:
NERCOMP reserves the right to use any photographs or other mechanical recordings taken at NERCOMP events in promotional materials. No mechanical recordings of any kind may be used at NERCOMP events without the prior written consent of NERCOMP organizers and presenters. The views and opinions expressed at NERCOMP events do not necessarily reflect those of NERCOMP, nor does NERCOMP make any representation regarding the information presented at NERCOMP events.
Course Outline
1 - Analyzing Data with Self-Service BI
- Data Analysis and Visualization for Business Intelligence
- Self-Service BI with Microsoft Power BI
2 - Connecting to Data
- Create Data Connections
- Model Data with Relationships
- Save Power BI Files
3 - Performing Advanced Data Modeling and Shaping
- Clean and Transform Data with the Query Editor
- Shape Data with the Query Editor
- Combine and Manage Data Rows
4 - Visualizing Data with Power BI
- Create Visualizations in Power BI
- Chart Data in Power BI
5 - Enhancing Data Analysis
- Enhance Analysis with Customized Visuals and Pages
- Enhance Analysis with Tooltips
6 - Modeling Data with Calculations
- Create Calculations with Data Analysis Expressions (DAX)
- Create Calculated Measures and Conditional Columns
7 - Creating Interactive Visualizations
- Create and Manage Data Hierarchies
- Filter and Slice Reports
- Create Dashboards in Power BI
With a high-speed internet connection Virtual Instructor Led Training gives you the freedom to attend class from anywhere in the world. We use Zoom Technology to ensure the virtual experience has that personal touch you deserve. Our hands-on, virtual lab environment give you real world experience to translate your instruction to applicable job skills.