Pideya Learning Academy

Data Visualization and Insights with Microsoft Power BI

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
14 Jul - 18 Jul 2025 Live Online 5 Day 2750
25 Aug - 29 Aug 2025 Live Online 5 Day 2750
03 Nov - 07 Nov 2025 Live Online 5 Day 2750
22 Dec - 26 Dec 2025 Live Online 5 Day 2750
03 Feb - 07 Feb 2025 Live Online 5 Day 2750
03 Mar - 07 Mar 2025 Live Online 5 Day 2750
21 Apr - 25 Apr 2025 Live Online 5 Day 2750
23 Jun - 27 Jun 2025 Live Online 5 Day 2750

Course Overview

In an increasingly data-driven business ecosystem, the ability to translate raw data into meaningful, strategic insights has become a core competency for professionals across industries. To meet this growing demand, Pideya Learning Academy presents the Data Visualization and Insights with Microsoft Power BI training—a meticulously designed program that equips participants with the knowledge to convert data into visual narratives that drive decisions and fuel business growth.
As global organizations navigate complex datasets, Microsoft Power BI has become the preferred business intelligence tool for transforming scattered data into coherent, visually interactive, and insight-rich dashboards. According to Gartner’s 2024 Magic Quadrant for Analytics and BI Platforms, Power BI maintains its leadership position, with over 250,000 companies worldwide adopting the platform, including an estimated 97% of Fortune 500 companies. The demand for data storytelling and dashboarding skills is at an all-time high. Further reinforcing this trend, Grand View Research projects the global business intelligence market to reach USD 54.27 billion by 2030, growing at a CAGR of 8.7%. This rapid growth underscores the importance of data visualization expertise for professionals aiming to stay competitive in a digitally transformed marketplace.
The Data Visualization and Insights with Microsoft Power BI course by Pideya Learning Academy offers a comprehensive approach to developing BI capabilities—from understanding data structures and crafting intuitive dashboards to drawing actionable insights aligned with business objectives. Participants will be introduced to the entire Power BI workflow, including data sourcing, transformation, modeling, visualization, and sharing insights securely across organizational boundaries.
Throughout the course, professionals will build a strong analytical foundation, learning to design reports that convey meaning beyond raw figures. Emphasis is placed on understanding how visual design influences decision-making, how KPIs can be tracked in real time, and how to align BI outputs with key business goals. By focusing on strategic use cases, the course enables learners to think critically about how data is consumed within their organizations and how to foster a culture of insight-driven decision-making.
Participants will benefit from a range of valuable features and takeaways, including:
Structured introduction to Power BI components and their applications across business functions
Techniques for building interactive dashboards and reports tailored for performance monitoring and executive reporting
Data modeling strategies using relationships, hierarchies, and calculated columns to support robust analytics
Data transformation and integration techniques using Power Query to streamline datasets for meaningful insights
Custom measures and KPIs development using DAX (Data Analysis Expressions) for deeper analytical control
Role-based insights and visualization methods to meet the needs of diverse stakeholders
Strategies to embed a data-driven decision-making culture within teams and departments
The training explores advanced data modeling techniques, effective use of DAX, and best practices in dashboard storytelling. It helps participants understand how to filter, segment, and present data clearly for various stakeholder levels—from operational teams to executive leadership. Additionally, the course explores scalable models for embedding BI within business functions and aligning performance measurement with organizational KPIs.
By the end of this course, participants will have a nuanced understanding of Microsoft Power BI’s capabilities and its strategic impact. More importantly, they will be empowered to deliver insights that not only inform—but also transform—business decisions. This course serves as a crucial step for professionals who seek to lead with data and drive measurable outcomes in today’s digital economy.

Course Objectives

After completing this Pideya Learning Academy training, the participants will learn:
A comprehensive overview of the Microsoft Power BI platform
Techniques to configure Power BI for self-service analytics and enterprise intelligence
Methods to design effective visualizations and dashboards for strategic reporting
Fundamentals of building robust data models and transforming data sources
Integration of business analytics into everyday decision-making frameworks
Approaches to enabling a culture of analytics across the organization

Personal Benefits

Increased proficiency in one of the most in-demand analytics tools
Enhanced career prospects in data-driven leadership roles
Ability to translate complex data into meaningful insights
Confidence to lead business intelligence initiatives within teams
Strong foundation for further specialization in analytics and data science

Organisational Benefits

Improved decision-making through real-time data insights
Enhanced internal reporting with consistent and interactive dashboards
Streamlined data processes and performance metrics tracking
Strengthened analytical competencies across managerial levels
Increased operational efficiency through data automation and forecasting

Who Should Attend

Mid to senior-level managers aiming to improve decision-making with data
Chief Officers (CEOs, CIOs, CTOs) and business strategists
Business analysts, marketing professionals, and data coordinators
Research and statistical professionals engaged in business analytics
Professionals seeking to adopt or scale business intelligence capabilities

Course Outline

Module 1: Foundations of Power BI for Enterprise Intelligence
Overview of Business Intelligence Lifecycle Core Components of Power BI Architecture Self-service Business Intelligence Concept Role of Power BI in Data Modeling and Reporting Introduction to Data Visualization with Power BI Integrating Power BI with Existing Data Warehouses Security Features in Power BI Service
Module 2: Strategic Integration of Power BI in Organizations
Readiness Assessment for Power BI Implementation Identifying and Defining Key Performance Indicators (KPIs) Adopting Agile and Iterative BI Implementation Designing Data Marts with Power BI Best Practices for Organizational Rollout Developing a Governance Strategy for BI Tools Upskilling Teams for BI Adoption
Module 3: Interactive Dashboards and Data Visualization Techniques
Custom Visuals and Marketplace Integration Building Navigable Reports and Drill-through Pages Enhancing User Experience through Slicers and Filters Managing Visual Interactions and Bookmarks Responsive Design for Multiple Devices Applying Thematic Storytelling in Dashboards Leveraging Power BI Templates for Consistency
Module 4: Advanced Data Modeling and Analytical Expressions
Importing Data from Diverse Sources (Excel, SQL, APIs) Data Transformation using Power Query Editor Star Schema vs. Snowflake Schema Modeling Creating Relationships and Hierarchies Introduction to DAX (Data Analysis Expressions) Time Intelligence Functions in DAX Optimizing Model Performance and Query Load
Module 5: Data Preparation, Analytics, and Reporting
Data Cleansing and Quality Assessment Techniques Implementing Data Profiling in Power BI Designing Reports for Analytical Consumption Leveraging Quick Measures and Custom Calculations Data Analytics with Power BI Insights and Q&A Utilizing AI Visuals (Decomposition Tree, Smart Narrative) Reporting for Stakeholders and Decision-Makers
Module 6: Enterprise-Grade Deployment and Collaboration
Publishing to Power BI Service and Workspaces Row-Level Security and Access Control Setting Up Data Refresh Schedules and Gateways Power BI Apps and Workspace Management Version Control and Report Lifecycle Embedding Reports in Web Portals or Teams Collaborating through Microsoft Teams and SharePoint
Module 7: Real-Time Data and Advanced Connectivity
Connecting to Live Data Sources and Streaming Datasets Real-Time Dashboards and Alerts Using DirectQuery and Import Modes Effectively Integrating Power BI with Azure and Synapse Analytics Monitoring Key Metrics with Data-Driven Alerts API Integration and Custom Connectors Big Data Access via Power BI and Hadoop Clusters
Module 8: Compliance, Ethics, and Data Governance in BI
Data Privacy Standards and Regulations (GDPR, HIPAA) Establishing Data Stewardship Programs Power BI Audit Logs and Monitoring Usage Ensuring Data Integrity in Reports Building a Responsible Analytics Culture Managing Data Lifecycle and Archival Policies

Have Any Question?

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