Microsoft Power BI Data Analyst

PL-300: Microsoft Power BI Data Analyst you should deliver actionable insights by working with available data and applying domain expertise. You should: Provide meaningful business value through easy-to-comprehend data visualizations, Enable others to perform self-service analytics, Deploy and configure solutions for consumption.

As a Power BI data analyst you work closely with business stakeholders to identify business requirements. You collaborate with enterprise data analysts and data engineers to identify and acquire data. You use Power BI to: Transform the data, Create data models, Visualize data, Share assets.

1. Get Data from Data Sources

Identify and connect to a data source
Change data source settings, including credentials, privacy levels, and data source locations
Select a shared semantic model, or create a local data model
Choose between Direct Query, Import, and Dual mode
Change the value in a parameter

2. Clean the Data

Evaluate data, including data statistics and column properties
Resolve inconsistencies, unexpected or null values, and data quality issues
Resolve data import errors

3. Transform and load the Data

Select appropriate column data types
Create and transform columns
Transform a query
Design a star schema that contains facts and dimensions
Identify when to use reference or duplicate queries and the resulting impact
Merge and append queries
Identify and create appropriate keys for relationships
Configure data loading for queries

4. Design and Implement a Data Model

Configure table and column properties
Implement role-playing dimensions
Define a relationship's cardinality and cross-filter direction
Create a common date table
Implement row-level security roles

5. Create model calculations by using DAX

Create single aggregation measures
Use CALCULATE to manipulate filters
Implement time intelligence measures
Identify implicit measures and replace with explicit measures
Use basic statistical functions
Create semi-additive measures
Create a measure by using quick measures
Create calculated tables

6. Optimize Model Performance

Improve performance by identifying and removing unnecessary rows and columns
Identify poorly performing measures, relationships, and visuals by using Performance Analyzer
Improve performance by choosing optimal data types
Improve performance by summarizing data

7. Create Reports

Identify and implement appropriate visualizationsp
Format and configure visualizations
Use a custom visual
Apply and customize a theme
Configure conditional formatting
Apply slicing and filtering
Configure the report page
Use the Analyze in Excel feature
Choose when to use a paginated report

8. Enhance reports for usability and storytelling

Configure bookmarks
Create custom tooltips
Edit and configure interactions between visuals
Configure navigation for a report
Apply sorting
Configure sync slicers
Group and layer visuals by using the Selection pane
Drill down into data using interactive visuals
Configure export of report content, and perform an export
Design reports for mobile devices

9. Identify Patterns and Trends

Use the Analyze feature in Power BI
Use grouping, binning, and clustering
Incorporate the Q&A feature in a report
Use AI visuals
Use reference lines, error bars, and forecasting
Detect outliers and anomalies
Create and share scorecards and metrics

10. Create and manage workspaces and items

Create and configure a workspace
Assign workspace roles
Configure and update a workspace app
Publish, import, or update items in a workspace
Create dashboards
Choose a distribution method
Apply sensitivity labels to workspace content
Configure subscriptions and data alerts
Promote or certify Power BI content
Manage global options for files

11. Manage semantic models

Identify when a gateway is required
Configure a semantic model scheduled refresh
Configure row-level security group membership
Provide access to semantic models

Fees Structure :	6500 INR / 80 USD
Total No of Class :	73 Video Class
Class Duration :	28:30 Working Hours
Download Feature :	Download Avalable
Technical Support :	Call / Whatsapp : +91 8680961847
Working Hours :	Monday to Firday 9 AM to 6 PM
Payment Mode :	Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

Brochure Buy Now Sample Demo

Fees Structure :	12500 INR / 150 USD
Class Duration :	30 Days
Class Recording :	Live Class Recording available
Class Time :	Monday to Firday 1.5 hours per day / Weekend 3 Hours per day
Technical Support :	Call / Whatsapp : +91 8680961847
Working Hours :	Monday to Firday 9 AM to 6 PM
Payment Mode :	Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

Download Brochure Pay Online