Prepare and visualize data with Microsoft Power BI
Overview
Delivery method
Virtual classroom
Duration
1 day
Audience
All SSC employees at all levels
Description
This course covers transforming and loading data, designing semantic models, designing reports, and managing Power BI items for reuse and distribution. Participants will get experience working with Power BI, Power BI Desktop models, Power BI reports and report filters, semantic models, and more.
Agenda
• Get data in Power BI
• Clean, transform, and load data in Power BI
• Design a semantic model in Power BI
• Add measures to Power BI Desktop models
• Add calculated tables and columns to Power BI Desktop models
• Design Power BI reports
• Configure Power BI report filters
• Create and manage workspaces in Power BI
• Manage semantic models in Power BI
Learning Objectives
This course introduces participants to Power BI for data analysis and reporting. Participants will learn to:
• Retrieve data from diverse sources (files, relational databases, NoSQL, online services, Azure Analysis Services);
• Clean, transform, and load data efficiently;
• Design semantic models and implement calculations;
• Create calculated tables and columns;
• Build dynamic, interactive reports and dashboards;
• Configure report filters and manage workspaces.
Important Note
After registering for this course, participants will receive an Outlook invitation with the next steps to complete their registration and prepare for the training.
Target Audience
This course is designed for professionals with fundamental data analytics skills, who are interested in transforming data into interactive reports by using Microsoft Power BI.
Prerequisite(s)
No prior Power BI experience is required, though familiarity with data analytics concepts is helpful.
Additional upcoming sessions
Date and Time | Session code | Location | Language | Available seats | |
---|---|---|---|---|---|
October 09, 2025, 9:00 am to 5:00 pm (ET) | ITI-0140_EN-S001 | Virtual | English | Full | Sign in to register |
October 09, 2025, 9:00 am to 5:00 pm (ET) | ITI-0140_FR-S001 | Virtual | French | Full | Sign in to register |
October 30, 2025, 9:00 am to 5:00 pm (ET) | ITI-0140_EN-S002 | Virtual | English | Full | Sign in to register |