Microsoft Power BI Trainer Required: 20 hours : online
Job type: Remote
20 - 30 Hours
Mid Career Audience-
India
India Project detail
Microsoft Power BI
Microsoft Power BI is a data visualization and analytics tool that allows you to create and share interactive reports and dashboards. You can use Power BI to connect to various data sources, transform and model data, apply calculations and filters, create charts and graphs, add interactivity and AI features, and publish and distribute your data insights. You can use different components of Power BI such as Desktop, Service, Mobile, Embedded, and Administration to perform different tasks and roles. You can also learn advanced topics such as Power Query M language, DAX functions and expressions, custom visuals, R scripts and visuals, Python scripts and visuals, and AI insights and features to enhance your data analysis skills. You can also get certified as a Power BI data analyst by taking the PL-300 exam.
Duration: 20 Hours
Mode: Online
Table Of Content:
| Sr.no | Topics | Duration |
|---|---|---|
| 1 | Introduction to Power BI: What is Power BI, Why Power BI, Power BI Architecture, Power BI Components, Power BI Desktop, Power BI Service, Power BI Mobile, Power BI Licensing, Power BI Careers | 2 hours |
| 2 | Getting and Transforming Data with Power BI: Data Sources, Data Types, Data Queries, Query Editor, Applied Steps, Query Settings, Data Transformations, Data Shaping, Data Loading, Data Refreshing | 4 hours |
| 3 | Modeling with Power BI: Data Model, Relationships, Cardinality, Cross Filter Direction, Calculated Columns, Measures, Quick Measures, Tables and Matrix Visuals | 4 hours |
| 4 | DAX in Power BI: What is DAX, DAX Syntax, DAX Operators, DAX Functions, DAX Contexts, DAX Examples | 6 hours |
| 5 | Visualizing Data with Power BI: Visualization Types, Visualization Properties, Formatting Options, Filters and Slicers, Drill Down and Drill Through, Bookmarks and Buttons, Tooltips and Selections | 6 hours |
| 6 | Publishing and Sharing with Power BI: Publishing Reports and Dashboards to Power BI Service, Sharing Reports and Dashboards with Others, Creating Apps and Workspaces, Embedding Reports and Dashboards in Websites or Apps | 2 hours |
| 7 | Advanced Topics in Power BI: Power Query M Language, Custom Visuals and Themes, Parameters and Templates, R and Python Scripts in Power BI, Dataflows and Datasets in Power BI Service | 4 hours |