Microsoft Power BI: Data Analysis Professional Training in Pawtucket
| 
                	 We offer private customized training for groups of 3 or more attendees.
                 | ||
| Course Description | ||
| 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" is a direct result of the popularity and growth 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 advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft Power BI software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. 
                        Course Length: 1190 Days Course Tuition: $3 (US) | ||
| Prerequisites | |
| To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel. | |
| Course Outline | 
| 
	Lesson 1: Analyzing Data and Reporting with Power BI 
	Topic A: Data Analysis and Visualization for Business Intelligence 
	Topic B: Interact with Reports in Power BI 
	Lesson 2: Connecting to Data 
	Topic A: Create Data Source Connections 
	Topic B: Configure and Manage Relationships 
	Topic C: Save Files in Power BI 
	Topic D: Secure and Troubleshoot Connections 
	Lesson 3: Cleaning, Transforming, and Loading Data 
	Topic A: Load, Clean, and Shape Data with the Query Editor 
	Topic B: Profile Data with the Query Editor 
	Topic C: Shape Data with the Query Editor 
	Topic D: Transform Data with the Query Editor 
	Lesson 4: Visualizing Data with Power BI 
	Topic A: Create Visualizations with Power BI 
	Topic B: Select Visualization Types with Power BI 
	Lesson 5: Enhancing Visuals for Data Analysis 
	Topic A: Customize Visuals and Pages 
	Topic B: Incorporate Tooltips in Visualizations 
	Lesson 6: Modeling Data with Calculations 
	Topic A: Create Calculated Columns with DAX 
	Topic B: Create Calculated Measures and Conditional Columns 
	Lesson 7: Customizing and Filtering Reports 
	Topic A: Create Data Hierarchies 
	Topic B: Filter Reports 
	Topic C: Discover Time-Intelligence Insights 
	Topic D: Configure Slicers for Interactive Filtering 
	Lesson 8: Performing Advanced Analysis 
	Topic A: Create Calculated Tables, Variables, and Parameters 
	Topic B: Perform Statistical Analysis 
	Topic C: Analyze Data with Advanced Power BI Features 
	Lesson 9: Sharing Reports and Creating Dashboards in the Power BI Service 
	Topic A: Publish and Explore Reports in the Power BI Service 
	Topic B: Create Dashboards 
	Topic C: Add Q&A to Dashboards 
	Lesson 10: Managing and Collaborating in the Power BI Service 
	Topic A: Manage Workspaces and Share Content 
	Topic B: Collaborate with the Power BI Service 
	Lesson 11: Enhancing Reports and Dashboards 
	Topic A: Optimize Usability and Performance 
	Topic B: Create Mobile Reports for Power BI 
	Appendix A: Mapping Course Content to Microsoft Power BI Data Analyst (Exam PL-300) Certification Objectives | 
Course Directory [training on all levels]
- .NET Classes
- Agile/Scrum Classes
- AI Classes
- Ajax Classes
- Android and iPhone Programming Classes
- Azure Classes
- Blaze Advisor Classes
- C Programming Classes
- C# Programming Classes
- C++ Programming Classes
- Cisco Classes
- Cloud Classes
- CompTIA Classes
- Crystal Reports Classes
- Data Classes
- Design Patterns Classes
- DevOps Classes
- Foundations of Web Design & Web Authoring Classes
- Git, Jira, Wicket, Gradle, Tableau Classes
- IBM Classes
- Java Programming Classes
- JBoss Administration Classes
- JUnit, TDD, CPTC, Web Penetration Classes
- Linux Unix Classes
- Machine Learning Classes
- Microsoft Classes
- Microsoft Development Classes
- Microsoft SQL Server Classes
- Microsoft Team Foundation Server Classes
- Microsoft Windows Server Classes
- Oracle, MySQL, Cassandra, Hadoop Database Classes
- Perl Programming Classes
- Python Programming Classes
- Ruby Programming Classes
- SAS Classes
- Security Classes
- SharePoint Classes
- SOA Classes
- Tcl, Awk, Bash, Shell Classes
- UML Classes
- VMWare Classes
- Web Development Classes
- Web Services Classes
- Weblogic Administration Classes
- XML Classes
- Introduction to Spring 6, Spring Boot 3, and Spring REST 
 15 December, 2025 - 19 December, 2025
- Fast Track to Java 17 and OO Development 
 8 December, 2025 - 12 December, 2025
- RHCSA EXAM PREP 
 17 November, 2025 - 21 November, 2025
- RED HAT ENTERPRISE LINUX SYSTEMS ADMIN I 
 3 November, 2025 - 7 November, 2025
- Python for Scientists 
 8 December, 2025 - 12 December, 2025
- See our complete public course listing 






