Power BI Training Institutes In Hyderabad
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Power BI Training Course Content
- Power BI Introduction
- Data Visualization, Reporting
- Business Intelligence (BI), Traditional BI, Self-Serviced BI
- Cloud Based BI cloud service VS On Premise BI
- Power BI Products
- Power BI Desktop
- (Power Query -transformation, Power Pivot- modeling, Power View -reports)
- Flow of Work in Power BI Desktop
- Server, Power BI Service, Power BI Mobile
- Flow of Work in Power BI / Power BI Architecture
- A Brief History of Power BI
PBI Desktop Installation, PBI Desktop & Service Overview
In Power BI Desktop Installation
- Building Blocks of Power BI
- Datasets, Visualizations, Reports, Dashboards, Tiles
- Power BI Desktop User Interface
- Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas
- Overview of Power Query / Query Editor – Extract, Transform & Load Data
- Connecting to Data Sources, Establish connection to the Excel source
- Importing Data into Power BI or Query Editor
- Transforming the Data using Power Query
- Model the Data using Power Pivot – Relationship View
- Creating New Measures and New Columns using DAX – Data View
- Visualizing the Data using Power View and Power Maps – Report View
- Saving and Publishing the Visuals or Reports
- Logon to Power BI Service View the Reports in PBI Service and Share the reports Power View
Best Power BI Training Institutes In Hyderabad
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Power BI Query
Introduction to Power Query – Extract, Transform & Load
- Data Transformation, Benefits of Data Transformation
- Shape or Transform Data using Power Query
- Overview of Power Query / Query Editor, Query Editor User Interface
- The Ribbon (Home, Transform, Add Column, View Tabs)
- The Queries Pane, the Data View / Results Pane, The Query Settings Pane, Formula Bar
- Advanced Editor – Complete ETL Code
- Saving Your Work – Appling ETL Changes – Loading into Power Pivot Model
- Power Query Conceptually
- Data types and Filters in Power Query
- Data types, Changing the Data type of a Column
- Filters in Power Query
- Auto Filter / Basic Filtering
- Filter a Column using Text Filters
- Filter a Column using Number Filters
- Filter a Column using Date Filters
- Filter Multiple Columns
