25 Hours intensive Microsoft Power BI program
Globally recognised Microsoft PL-300 certification
Industry simulation using Automation Sandbox
Expert-led technical training curriculum with 8 modules
Flexible learning with easy monthly instalments
What you will master with us:
Upcoming sessions
Power BI Ecosystem
Data Import & Connectivity
Power Query
Data Transformation
Relationship Management
Data Modeling Basics
Star Schema Foundations
Analyze data quality and transformationopportunities
Generate reporting insights fromimported datasets
This case study focuses on understanding how Power BI and Copilot can be used in practical business scenarios. Participants will explore dashboard creation, AI-assisted reporting, and insight generation through hands-on exercises and real-world use cases.
Data Modeling Best Practices
Data Relationships
Star vs Snowflake Schema
Hierarchies
Measures vs Calculated Columns
DAX Fundamentals
CALCULATE
FILTER
ALL
RELATED
Variables
SWITCH
IF
Time Intelligence
YTD
QTD
Ranking Functions
KPI Calculations
Context Transition
Advanced DAX
Bookmarks
Performance Optimization
Query Tuning
Generate advanced DAX measures forbusiness reporting requirements
Optimize analytical models and KPIcalculations for enterprise reporting
This case study focuses on understanding how Power BI and Copilot can be used in practical business scenarios. Participants will explore dashboard creation, AI-assisted reporting, and insight generation through hands-on exercises and real-world use cases.
Dashboard Design Principles
Executive Reporting
KPI Storytelling
Custom Visuals
Drill Down Features
Drillthrough Features
Tooltips
Interactive Analytics
Mobile Dashboard Optimization
Smart Narratives
AI Visuals
Business Presentation Techniques
Generate executive dashboardnarratives aligned with stakeholderrequirements
Support business storytelling through AI-assisted insight generation
Power BI Service
Workspaces
Publishing Reports
App Publishing
Data Refresh
Scheduled Refresh
Gateway Configuration
Row-Level Security
Collaboration Features
Governance Basics
Deployment Pipelines
Usage Monitoring
Access Control
Compliance Practices
Monitor dashboard adoption andreporting performance trends
Support governance, security, anddeployment decisions across reporting environments
Microsoft Fabric Overview
OneLake Concepts
Lakehouse Architecture
Warehouse
Notebooks
Fabric Dataflows
Semantic Models
Real-Time Analytics
Fabric + Power BI Integration
Enterprise Analytics Architecture
Data Governance Fundamentals
Synapse Analytics
Data Factory
Data Lake
Fabric Pipelines
Azure Analytics Ecosystem
Snowflake Overview
Databricks Overview
Big Query Overview
dbt Awareness
Analyze enterprise data architecturerequirements for reporting ecosystems
Support modern analytics platformdesign and governance initiatives
Natural Language Insights
Natural Language Queries
Q&A Visual Integration
Automated Report Generation
AI-Powered Exploration
Scenario-Based Insights
Predictive Recommendations
AI-Assisted Reporting
Automated Narratives
Decision Intelligence Support
Generate business insights using AI-powered analytical workflows
Evaluate AI-generated recommendationsfor reporting and decision support
Key Influencers
Decomposition Tree
Smart Narrative
Clustering Analysis
Forecasting Models
Trend Analysis
Correlation Analysis
Anomaly Detection
Interactive Q&A Analytics
Predictive Analysis Validation
AI-Powered Insights
Analyze forecasting outcomes andanomaly patterns impacting business performance
Support predictive analytics andadvanced insight generation initiatives
Prepare Data
Model Data
Visualize Data
Analyze Data
Deploy and Maintain Assets
Certification Examination Domains
Hands-On Labs
Certification Mock Review
Exam Strategy
Scenario-Based Questions
Performance Review
Evaluate reporting scenarios against PL-300 competency requirements
Support certification readiness throughstructured assessment practice
Participants will assume the role of Power BI Data Analysts responsible for delivering business-critical insights to executive stakeholders across finance, operations, sales, and strategic management functions.
Working within a realistic enterprise environment, participants will manage the complete analytics lifecycle including data acquisition, transformation, modeling, visualization, dashboard development, governance implementation, AI-powered insight generation, and business reporting.
Throughout the simulation, participants will address challenges such as inconsistent data quality, reporting bottlenecks, stakeholder demands, governance requirements, performance optimization concerns, and enterprise analytics scalability.
The simulation reinforces practical Power BI implementation, Microsoft Fabric integration, executive reporting capability, and enterprise business intelligence excellence.
Participants will operate within a technology-enabled analytics environment designed to simulate enterprise reporting workflows, dashboard automation processes, governance controls, anomaly detection systems, AI-powered insight generation, and business intelligence operations.
The environment reflects modern analytics ecosystems where automation, governance, and AI-powered decision support operate together.
The sandbox experience enables participants to evaluate how automated reporting, predictive analytics, Copilot-assisted insights, governance frameworks, and enterprise data platforms influence business performance and decision-making.
This strengthens operational analytics capability while improving reporting effectiveness, scalability, compliance, and enterprise intelligence maturity.
After the course concludes, you will be able to:
1
Create enterprise-ready dashboards that support strategic business decisions
2
Apply advanced DAX techniques to solve complex reporting challenges
3
Analyse business performance using forecasting and predictive analytics tools
4
Implement governance, security, and compliance controls for reporting environments
5
Leverage Microsoft Fabric to support modern analytics initiatives
6
Demonstrate PL-300 exam readiness through practical analytics proficiency
Overall ratings by our students
Participants will gain practical expertise in Microsoft Power BI, enabling them to transform raw data into meaningful business insights. This course develops skills in data preparation, Power Query, data modelling, DAX calculations, dashboard design, KPI reporting, and BI analytics. This helps professionals create impactful reports that support informed decision-making.
Participants will also learn to work with Power BI Service, Microsoft Fabric, AI-powered analytics, and enterprise reporting environments. Through hands-on exercises and real-world scenarios, they will build the capability to manage reporting workflows, implement governance practices, apply forecasting techniques, and prepare for the Microsoft PL-300 exam.
Yes, the course covers advanced DAX and data modelling techniques used in professional BI environments. Participants learn to create sophisticated calculations using functions such as CALCULATE, FILTER, ALL, RELATED, SWITCH, and time intelligence functions. This enables deeper analysis and more accurate reporting.
This program also explores relationship management, star schema modelling, semantic models, KPI development, context transition, and performance optimisation. Through practical exercises and reporting scenarios, participants gain the skills needed to build scalable Power BI data models that support complex analytics, executive dashboards, and enterprise-level decision-making.
Microsoft Fabric is introduced as a key component of the modern analytics ecosystem within this Power BI training. Participants explore how OneLake, Lakehouse architecture, semantic models, dataflows, and real-time analytics work together to support efficient data management, reporting, and BI initiatives.
By understanding the connection between Microsoft Fabric and Power BI, participants gain broader analytics capabilities beyond dashboard creation. This course provides practical exposure to modern data platforms. This helps professionals work with integrated analytics environments and streamline reporting workflows across enterprise operations.
Yes, the course includes dedicated coverage of AI-powered analytics in Power BI, helping participants use advanced features to uncover deeper business insights. Participants learn how Copilot in Power BI, natural language queries, and AI-assisted reporting can simplify data analysis and enhance the reporting process.
This training also introduces capabilities such as automated narratives, predictive recommendations, forecasting, anomaly detection, and advanced analytical techniques. Participants learn how to apply these tools to identify trends and improve reporting accuracy.
Yes, this course includes a dedicated learning pathway aligned with the Microsoft PL-300 Power BI Data Analyst Certification. Participants develop the practical skills assessed in the certification, including data preparation, data modelling, DAX calculations, data visualisation, dashboard creation, and report management using Microsoft Power BI.
To strengthen certification readiness, this program incorporates hands-on labs, dashboard simulations, assessment activities, mock examinations, and exam-focused review sessions. This structured approach helps participants apply their knowledge in realistic business scenarios.
Participants gain experience through practical projects that reflect real business intelligence and reporting requirements. These activities reinforce Power BI, DAX, Microsoft Fabric, and analytics concepts.
The practical exercises included are:
Participants seeking practical BI expertise benefit from Learners Point’s training approach that combines hands-on application with industry-relevant analytics concepts. Here are the reasons why you should choose Learners Point:
Crafting interactive dashboards with Power BI involves several design tips to significantly enhance user experience, and data comprehension, and facilitate informed decision-making. Some of the design tips to create interactive dashboards with Power BI are listed below:
Some of the key features & components of Microsoft Power BI are listed below:
Professionals can harness the full potential of Power BI and make informed decisions based on consolidated and structured data sources. Some of the steps involved in integrating data sources with Power BI are as follows:
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