Microsoft Power BI Data Analyst PL-300

Microsoft Power BI Data Analyst (PL-300) Training and Certification in Coimbatore

Unlock the power of data with our Microsoft Power BI Data Analyst (PL-300) Training in Coimbatore. This course is designed for data professionals and business analysts who want to master data analysis, visualization, and reporting using Microsoft Power BI — one of the most in-demand business intelligence tools in today’s data-driven world.

The PL-300 certification (formerly DA-100) prepares candidates to become Microsoft Certified: Power BI Data Analyst Associate. Through hands-on labs, real-world datasets, and interactive dashboards, this course equips you with the skills needed to turn raw data into actionable business insights.


Why Choose This Course?

  • Microsoft-Aligned Curriculum based on PL-300 exam

  • Hands-On Labs using Power BI Desktop and Power BI Service

  • Instructor-Led Sessions by experienced BI professionals

  • Ideal for Data Analysts, Business Intelligence Professionals, and Excel Users

  • Flexible Online and Offline Training Options


What You Will Learn

  • Preparing data in Power Query and transforming it for analysis

  • Designing and building interactive reports and dashboards

  • Implementing data modeling using DAX (Data Analysis Expressions)

  • Managing data security with row-level security (RLS)

  • Connecting to and integrating multiple data sources

  • Publishing, sharing, and automating reports in Power BI Service

  • Applying business rules and calculations to gain insights


Who Should Enroll?

  • Business and data analysts

  • Excel power users transitioning to business intelligence

  • Professionals working with reporting, KPIs, and dashboards

  • Candidates preparing for the PL-300 certification exam

  • Organizations aiming to enable self-service BI across teams


Course Features

  • Instructor-led training with live data projects

  • Access to Power BI environment for practical application

  • PL-300 mock exams and certification guidance

  • Course completion certificate and job readiness support

  • Resume review and interview preparation assistance


Transform your career with the skills to visualize data and tell powerful stories. Enroll in the PL-300 Power BI Data Analyst Training in Coimbatore and become a certified professional capable of driving decisions through data.

Microsoft Power BI Data Analyst PL-300 Syllabus

Modules

Prepare the Data (25-30%)
  • 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 dataset, or create a local dataset

    - Choose between DirectQuery, Import, and Dual mode

    - Change the value in a parameter

  • 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

  • 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

    Model the Data (25-30%)
  • 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

  • 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

  • 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

    Visualize and Analyze the Data (25-30%)
  • Create reports
  • - Identify and implement appropriate visualizations

    - 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

  • 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

    - Incorporate the Q&A feature in a report

  • Identify patterns and trends
  • - Use the Analyze feature in Power BI

    - Use grouping, binning, and clustering

    - Use AI visuals

    - Use reference lines, error bars, and forecasting

    - Detect outliers and anomalies

    - Create and share scorecards and metrics

    Deploy and Maintain Assets (15-20%)
  • Create and manage workspaces and assets
  • - Create and configure a workspace

    - Assign workspace roles

    - Configure and update a workspace app

    - Publish, import, or update assets 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

  • Manage datasets
  • - Identify when a gateway is required

    - Configure a dataset scheduled refresh

    - Configure row-level security group membership

    - Provide access to datasets

    To ensure success in Microsoft MCA Data Analyst certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Microsoft Power BI Data Analyst (PL-300) exam.