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Microsoft Power BI Data Analyst Associate (PL-300)
A Microsoft Power BI course teaches learners how to connect, analyze, and visualize data using Microsoft Power BI. Learners gain skills in building interactive dashboards, creating reports, applying DAX functions, and sharing insights across teams.
In India, Power BI is important because businesses across IT, finance, healthcare, e-commerce, and consulting rely on data to make decisions. Completing a Microsoft Power BI course equips professionals with in-demand skills, enhances career opportunities, and prepares them for certifications like PL-300.
Overview
You may address business issues and enhance operations by using Power BI to its fullest potential with the aid of Power BI certification training. This course teaches you how to generate dashboards from public reports, gain deeper insights from data, and develop useful recipes for the different jobs you may perform with Microsoft Power BI.
What Skill Covered in Microsoft Power BI Data Analyst Associate (PL-300)?
- Data Modelling
- Dashboard Creation
- MobileSpecific Data Visualization
- Builtin Aggregations
- DAX Commands and Functions
- Data Visualization
- Data Model Performance Optimization
- Desktop Layout
- Reports and Dashboards
What should enroll in Microsoft Power BI Data Analyst Associate (PL-300)?
This Power BI program is built for a wide audience of professionals who want to prove their skills in data visualization and business intelligence. It’s a good fit for people from many backgrounds, even those without a heavy tech background, who are serious about using data to make decisions.
- Analytics professionals, data analysts, and data scientists who want to get an industry-recognized certification
- Business intelligence and reporting professionals who need to master the top tool in their field
- Product managers, consultants, and other business leaders who depend on data for strategy
- Recent graduates, students, and professionals in other fields looking to move into a high-demand data analytics career
Our Package
- 1.01 Welcome to Power BI Course
- 1.02 Skills Covered
- 1.03 Business Intelligence and Data Analytics – High-Level Overview
- 1.04 Introduction to Power BI
- 1.05 Different Power BI Offerings
- 1.06 Installing Power BI
- 01 Identify and Connect to a Data Source
- 02 Change Data Source Settings
- 03 Select a Shared Dataset
- 04 Overview of Storage Modes
- 05 Select a Storage Mode
- 06 Choose an Appropriate Query Type
- 07 Use Microsoft Dataverse
- 08 Use Parameters
- 09 Use or Create a PBIDS File
- 01 Examine Data Structures
- 02 Interrogate Column Properties
- 03 Interrogate Data Statistics
- 01 Overview of Data Transformation
- 02 Resolve Inconsistencies, Unexpected or Null Values, and Data Quality Issues
- 03 Apply User-Friendly Value Replacements
- 04 Evaluate and Transform Column Data Types
- 05 Apply Data Shape Transformations to Table Structures
- 06 Combine Queries
- 07 Apply User-Friendly Naming Conventions to Columns and Queries
- 08 Leverage Advanced Editor to Modify Power Query M Code
- 01 Define the Tables
- 02 Configure Table and Column Properties
- 03 Flatten a Parent-Child Hierarchy
- 04 Define Role-Playing Dimensions
- 05 Create a Common Date Table
- 06 Define Relationship Cardinality and Cross-Filter Direction
- 01 Overview of DAX
- 02 Overview of Row and Filter Context
- 03 Apply Cross-Filter Direction and Security Filtering
- 04 Create Calculated Tables
- 05 Overview of Measures
- 06 Create Calculated Columns
- 07 Implement Row-Level Security Roles
- 08 Set Up the Q&A Feature
- 01 Remove Unnecessary Rows and Columns
- 02 Identify Poorly Performing Measures, Relationships, and Visuals
- 03 Improve Cardinality Levels
- 04 Optimize DirectQuery Models
- 05 Create and Manage Aggregations
- 06 Use Query Diagnostics
- 01 Add Visualization Items to Reports
- 02 Choose an Appropriate Visualization Type
- 03 Format and Configure Visualizations
- 04 Apply Slicing and Filtering
- 05 Add an R or Python Visual
- 01 Set Mobile View
- 02 Manage Tiles on a Dashboard
- 03 Configure Data Alerts
- 04 Use the Q&A Feature
- 05 Add a Dashboard Theme
- 06 Pin a Live Report Page to a Dashboard
- 01 Perform Top N Analysis
- 02 Explore Statistical Summary
- 03 Use the Q&A Visual
- 04 Add a Quick Insights Result to a Report
- 05 Use the Play Axis Feature of a Visualization
- 06 Personalize Visuals
- 01 Identify Data Anomalies
- 02 Identify Outliers
- 03 Conduct Time Series Analysis
- 04 Use Groupings and Binnings
- 05 Use Key Influencers to Explore Dimensional Variances
- 06 Use the Decomposition Tree Visual to Break Down a Measure
- 07 Apply AI Insights
- 01 Configure Dataset Scheduled Refresh
- 02 Configure Row-Level Security Group Membership
- 03 Configure Incremental Refresh Settings
- 04 Promote or Certify Power BI Datasets
Upcoming Batch
March 13th (Weekends)
FRI & SAT (4 Weeks)
08:30 PM to 01:00 AM (CDT)
March 16th (Weekdays)
MON – FRI (18 Days)
10:00 AM to 12:00 PM (CDT)
Microsoft Power BI Data Analyst Associate (PL-300) FAQs
A Microsoft Power BI course teaches learners how to connect, analyze, and visualize data using Microsoft Power BI. Learners gain skills in building interactive dashboards, creating reports, applying DAX functions, and sharing insights across teams.
In India, Power BI is important because businesses across IT, finance, healthcare, e-commerce, and consulting rely on data to make decisions. Completing a Microsoft Power BI course equips professionals with in-demand skills, enhances career opportunities, and prepares them for certifications like PL-300.
In this Microsoft Power BI certification training program, you will develop the technical and analytical skills needed to create powerful business intelligence solutions. Key skills include:
- Data Modeling
- Dashboard Creation
- Mobile-Specific Data Visualization
- Built-in Aggregations
- DAX Commands and Functions
- Data Visualization Best Practices
- Data Model Performance Optimization
- Desktop Layout Design
- Reports and Dashboards
Completing a Power BI course in India opens doors to multiple career opportunities in data and business intelligence. Some of the popular job roles include:
- Power BI Developer
- Business Intelligence Analyst
- Data Analyst
- Business Intelligence Developer
- Reporting Analyst
- Data Visualization Specialist
- Business Analytics Manager
- Microsoft Power BI Consultant
These roles are in demand across IT, finance, healthcare, e-commerce, and consulting industries.
The average salary for Power BI professionals varies based on experience, role, and location. Below are some of the average annual salaries of different Power BI-related job roles.
Power BI is widely used across industries that rely on data-driven decision-making and business intelligence. Major industries include:
- Information Technology and Software
- Banking, Financial Services, and Insurance (BFSI)
- Healthcare and Pharmaceuticals
- E-commerce and Retail
- Manufacturing
Yes, our Power BI training covers both fundamental and advanced topics, making it suitable for learners from non-technical backgrounds. You will start with the basics of data visualization and gradually move on to advanced concepts like DAX functions, data modeling, and performance optimization. This structured approach helps you build confidence and transition into different analytics roles.
Yes, you can pursue our Power BI certification course or the PL-300 certification while working full-time. Our Power BI course is designed for working professionals wanting to learn at their own pace without disrupting their job commitments.






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