MICROSOFT POWER BI COURSE Part 2 (MICROSOFT POWER BI 課程第 2 部分)
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Description
Help participants to master Power BI. As a part of this training, you will also get to work on multiple real-life projects . The whole course is composed of part 1 and part 2, which will let participants to walk through the whole process of using and learning the Microsoft Power BI.
Course Outline
| Module/Subject(s) | Description of the Module/Subject |
| POWER BI SERVICE (Cloud), Q & A AND DATA INSIGHTS |
Introduction to Power BI Service Introduction of workspaces Dashboard Creating & Configuring Dashboards Dashboard theme Reports vs Dashboards Building workspace Apps Sharing reports & dashboards configure subscriptions and data alerts Paginated report and Introduction to Power Q & A |
|
POWER BI SETTINGS, ADMINISTRATION & DIRECT |
Getting to understand Power BI Desktop settings Aggregating data from multiple data sources Power BI Service settings Power BI Admin Portal Administration activities Power BI usage analysis Introduction of Office 365 admin activities Introduction of Data Gateway Installation & Configuration of data gateways Scheduling auto data refresh Managing groups, row-level security, datasets, reports, Real time data analysis using Direct Connectivity Direct Query vs Import Mode |
|
EMBEDDED POWER BI WITH API & POWER BI |
Introduction to embedded Power BI Create embedded code Manage embedded code Integration of Power BI in SharePoint Introduction of Power BI API Power BI Embedded playground Introduction to Power BI Mobile Creating mobile based reports & dashboards Optimizing report for Power BI mobile app Features of Power BI mobile app Introduction of integrating Power BI & Excel Power BI Analyze in Excel |
| POWER BI ADVANCE & POWER BI PREMIUM |
Introduction of Power BI Premium Power BI Premium per user Power BI Premium features Introduction to Data Flow Create Data Flow Advantages of Data Flow Create reports using Data Flow Introduction to Power BI Deployment Pipelines Create Deployment Pipelines Benefits of Deployment Pipelines Introduction of Sensitivity Labels Introduction of Power BI Goals feature Incremental data load in Power BI use AI visuals use the Forecast feature Power BI best practice rules to improve performance |
