Course Overview

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: The Exam PL-300: Microsoft Power BI Data Analyst, will be available on February 28, 2022. This new exam will replace Exam DA-100: Analyzing Data with Microsoft Power BI. The DA-100 exam will be retired on 31 March 2022.

After completing this course, students will be able to:

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

Upcoming Batches

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To be Decided

Key Features

  • Our Power BI Data Analyst Associate training modules have 50% -60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
  • Microsoft certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
  • Well-structured use-cases to simulate challenges encountered in a Real-World environment.
  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.
  • Being a Microsoft Learning Partner gives us competitive edge in the market.

Who Should Attend

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


  • 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 Download Course Outline

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

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

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 table
  • 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

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

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

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

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

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


    • By earning PL-300 certification, you will prove competency of Data Analysts working with Microsoft Power BI.
    • Imbibe skills to clean and transform the data, and then design and build data models using Power BI.
    • Demonstrate abilities of report generation, analysis, data modelling for performance monitoring.
    • On successful completion of Microsoft Power BI Data Analytics course, aspirants receive a Course Completion Certificate from us.
    • By successfully clearing the PL-300: Microsoft Power BI Data Analyst exam, aspirants earn Microsoft Certification.

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Lizzie Wakenya

I really enjoyed the PL-300 Power BI online training. Anoop H A is a great trainer. I live overseas and yet was able to attend the online training with no problems. Thanks Anoop! Thanks CouldThat!


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