Description

The PL-300: Microsoft Power BI Data Analyst  certification training from CloudThat offers candidates proper training and relevant study material required to successfully clear the PL-300 exam and become a certified Microsoft Power BI Data Analyst Associate.

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.

Note: On February 28, 2022, the Microsoft Certified: Data Analyst Associate certification was renamed to Microsoft Certified: Power BI Data Analyst Associate. This new Exam PL-300: Microsoft Power BI Data Analyst replaces Exam DA-100: Analyzing Data with Microsoft Power BI which will retire on 31 March 2022.

Objective

• Prepare the data
• Model the data
• Visualize and analyze the data
• Deploy and maintain assets

Who Should Attend

This course is intended for data analysts and anyone who wants to gain knowledge of Power BI.

Prerequisites

• Understanding of core data concepts.
• Knowledge of working with both relational and non-relational data in the cloud.
• Knowledge of data analysis and visualization concepts.
• Knowledge of Power Query and writing expressions by using DAX.

Course Outline

Module 1: Prepare the Data 

1.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

2.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

Module 2: Model the Data 

1.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

2.Develop a data model

• Create calculated tables
• Create hierarchies
• Create calculated columns
• Implement row-level security roles
• Use the Q&A feature

3.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

4.Optimize model performance

• Remove unnecessary rows and columns
• Identify poorly performing measures, relationships, and visuals
• Reduce cardinality levels to improve performance

Module 3: Visualize and Analyze the Data

1.Create reports

• 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

2.Create dashboards

• 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

3.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

4.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

Module 4: Deploy and Maintain Assets

1.Manage files and datasets

• 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

2.Manage workspaces

• 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

About the Trainer

A Certified Microsoft Dynamics Trainer.

Course Fee

£1599+VAT