Become a Microsoft Power BI Data Analyst

What you'll learn
Prepare the data
Get data from different data sources
Clean, transform, and load the data
Model the data
Design a data model
Develop a data model
Create model calculations by using DAX
Optimize model performance
Visualize and analyze the data
Create reports
Create dashboards
Enhance reports for usability and storytelling
Identify patterns and trends
Deploy and maintain assets
Manage files and datasets
Manage workspaces

Requirements
None

Description
The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.

Prepare the data - ( Get data from different data sources)

Identify and connect to a data source

Change data source settings

Select a shared dataset or create a local dataset

Select a storage mode

Use Microsoft Dataverse

Change the value in a parameter

Connect to a data flow

Clean, transform, and load the data

Profile the data

Resolve inconsistencies, unexpected or null values, and data quality issues

Identify and create appropriate keys for joins

Evaluate and transform column data types

Shape and transform tables

Combine queries

Apply user-friendly naming conventions to columns and queries

Configure data loading

Resolve data import errors

Model the data - ( Design a data model )

Define the tables

Configure table and column properties

Design and implement role-playing dimensions

Define a relationship's cardinality and cross-filter direction

Design a data model that uses a star schema

Create a common date table

Develop a data model

Create calculated tables

Create hierarchies

Create calculated columns

Implement row-level security roles

Use the Q&A feature

Create model calculations by using DAX

Create basic measures by using DAX

Use CALCULATE to manipulate filters

Implement Time Intelligence using DAX

Replace implicit measures with explicit measures

Use basic statistical functions

Create semi-additive measures

Use quick measures

Optimize model performance

Remove unnecessary rows and columns

Identify poorly performing measures, relationships, and visuals

Reduce cardinality levels to improve performance

Visualize and analyze the data ( Create reports & Dashboards)

Add visualization items to reports

Choose an appropriate visualization type

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

Manage tiles on a dashboard

Configure mobile view

Use the Q&A feature

Add a Quick Insights result to a dashboard

Apply a dashboard theme

Pin a live report page to a dashboard

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

Drilldown into data using interactive visuals

Export report data

Design reports for mobile devices

Identify patterns and trends

Use the Analyze feature in Power BI

Identify outliers

Choose between continuous and categorical axes

Use groupings, binnings, and clustering

Use AI visuals

Use the Forecast feature

Create reference lines by using the Analytics pane

Deploy and maintain assets (Manage files, datasets and Manage workspaces)

Identify when a gateway is required

Configure a dataset scheduled refresh

Configure row-level security group membership

Provide access to datasets

Manage global options for files

Create and configure a workspace

Assign workspace roles

Configure and update a workspace app

Publish, import, or update assets in a workspace

Apply sensitivity labels to workspace content

Configure subscriptions and data alerts

Promote or certify Power BI content

Who this course is for
Beginner Data Analyst
Beginner Power BI Data Analyst

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