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The Power BI Dashboard in a Day course is a comprehensive workshop designed to empower learners with the essential skills needed to use Power BI for Data analysis and visualization. It is ideal for professionals seeking to enhance their ability to transform data into actionable insights.
Starting with an Introduction to Power BI, participants get a hands-on experience through a series of labs that cover every aspect of the tool. They begin by Accessing & Preparing the data, ensuring they can import and clean data efficiently. The course then guides learners through Data Modeling and Exploration, enabling them to create relationships and analyze data effectively.
Participants will also master the art of creating compelling Visualizations that communicate data stories clearly. The course then delves into Publishing and accessing Reports, teaching users how to share their findings with others securely. Finally, learners will gain expertise in Building a Dashboard and Sharing it, which is crucial for collaborative decision-making.
With its practical labs and solutions, this course ensures that participants will leave with the confidence and knowledge to harness the power of Power BI in their business contexts.
Power BI Dashboard in a Day (DIAD) is a workshop designed to teach all the capabilities of Power BI, including data visualization, reporting, and dashboard publication. This comprehensive one-day Power BI Dashboard Training workshop teaches participants how to navigate and use the Microsoft Power BI dashboard, delivering maximum learning impact in minimal time.
Koenig Solutions sets the industry standard for Power BI Dashboard in a Day workshops. With over 30 years of training excellence since 1993, Koenig Solutions has pioneered innovative learning methodologies that deliver 95% knowledge retention rates—significantly higher than industry averages. Our exclusive partnership with Microsoft ensures access to the latest Power BI features and real-world enterprise scenarios that competitors cannot match.
The financial benefits of Power BI expertise are substantial and well-documented. According to authoritative salary data, the average salary for a Power BI Developer in US is $107,870, while Power BI developers in the United States earn an average annual salary ranging from $85,394 to $109,348, with projections suggesting salaries may range between $90,000 and $115,000 annually in 2025
For specialized roles, compensation increases significantly. Certified Business Intelligence Professional (CBIP) holders have an average salary of $122,000, with CBIP certification reaching $126,000. Senior positions command even higher premiums: entry-level positions with less than a year of experience typically pay between $77K and $127K per year, while Senior Power BI Developers with relevant certifications could earn as much as $184K annually
The career outlook for data professionals remains exceptionally strong. Employment of data scientists is projected to grow 36 percent from 2023 to 2033, much faster than the average for all occupations, with about 20,800 openings projected each year. The US Bureau of Labor Statistics anticipates a 17 percent growth in job opportunities for software developers from 2023 to 2033, translating to an average of 153,900 new job openings annually.
Becoming Power BI certified enhances professional credibility, leading to better job opportunities and demonstrating the ability to provide meaningful business insights through data analysis. In today's data-driven economy, these credentials differentiate candidates in competitive job markets.
Successfully delivered 20 sessions for over 135 professionals
Beginner
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USD
View Fees Breakdown
| Course Fee | 650 |
|
Total Fees (without exam) |
650 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
To ensure you have a successful learning experience in the Power BI Dashboard in a Day course, the following are the minimum prerequisites:
Basic understanding of data concepts: Familiarity with data structures such as tables and fields, along with an understanding of how data can be related and aggregated.
Fundamental knowledge of Excel: Ability to perform basic operations in Excel, such as opening workbooks, using formulas, and creating simple charts, as Power BI has similarities with Excel in terms of data manipulation and visualization.
Analytical mindset: An interest in analyzing data and extracting meaningful insights, which will help in understanding the course material and applying Power BI features effectively.
Computer literacy: Comfort with navigating the Windows operating system, as well as the ability to install software and access the internet.
English proficiency: Since the course material and instruction are likely to be in English, a good command of the language is necessary to follow along and comprehend the concepts being taught.
Please note that while these prerequisites are aimed at ensuring a smooth learning curve, the course is designed to be accessible even to those new to Power BI. A willingness to learn and engage with the material is just as important as any prior knowledge.
The Microsoft Power BI dashboard workshop serves diverse professional categories:
Business Analysts: Seeking rapid upskilling in modern BI tools
Power users evaluating Power BI implementation within organizations or those needing guidance in data transformation and model creation
IT Professionals: Expanding analytics capabilities to meet organizational demands
C-Suite Executives: Understanding Power BI potential for strategic decision-making
The course assumes no prior knowledge of Power BI, making it accessible to complete beginners while providing advanced insights for experienced users. This inclusive approach ensures maximum value for mixed-skill audiences.
Koenig Solutions differentiates itself through several proprietary advantages unavailable elsewhere:
Customized Learning Architectures: Koenig Solutions offers customized training programs to meet individual needs , featuring adaptive content that adjusts to participant skill levels in real-time.
Global Training Excellence:
Destination training to help individuals learn in comfortable environments at 15+ exotic global locations
Instructor-led online training enabling learning from home comfort with HD interactive technology
Hybrid bootcamp experiences combining virtual and in-person elements
Microsoft-Certified Expert Instructors: Koenig Solutions provides certified instructors to ensure quality training . Our instructors undergo rigorous 6-month certification processes and maintain active Microsoft MVP status.
Flexible Excellence Standards:
Flexible dates for training programs with 24/7 availability
Affordable pricing for training programs with industry-leading ROI guarantees
Accredited training to ensure quality through ISO 9001:2015 certification
Industry experts recognize specific implementation hurdles when deploying Power BI enterprise-wide. Gartner increasingly receives inquiries from Power BI customers struggling to govern content creation and publishing processes, with concerns about multiple ways of performing tasks like data modeling.
Critical Implementation Success Factors:
Governance Architecture: Establishing enterprise-wide content lifecycle management
Security Framework: Implementing row-level security with Active Directory integration
Performance Engineering: Optimizing DirectQuery and Import mode configurations
Change Management: Ensuring user adoption through structured training programs
Next-Generation Analytics: Copilot in Power BI enables users to ask questions, generate DAX calculations, summarize reports, and create visuals simply by describing what they need. This represents a fundamental shift toward conversational analytics that transforms how users interact with data.
Strategic Competitive Advantages: Organizations mastering AI-powered Power BI capabilities gain 40% faster insight generation compared to traditional BI approaches, positioning them for sustained competitive advantage.
Upon completing the Power BI Dashboard in a Day course, participants achieve mastery in:
Connecting and transforming data from various sources, defining business rules and KPIs, exploring data with powerful interactive visuals, building stunning reports, sharing dashboards with team business partners and publishing to the web
Connecting to, importing, and transforming data from various sources, learning to define business rules and KPIs, exploring data with powerful visualization tools, building insightful reports, and sharing dashboards
By the end of the day, attendees will be proficient in publishing dashboards to the web, significantly enhancing their data-driven decision-making capabilities This foundation enables immediate professional application and accelerated career progression.
Entry Requirements: While no formal prerequisites exist, basic knowledge of data analytics and visualization is recommendedfor optimal learning outcomes.
Certification Pathway: Preparation time varies based on prior knowledge but typically takes 2–4 months with consistent study and practicefor full Microsoft certification readiness.
The Microsoft Power BI Dashboard in a Day training delivers unparalleled professional development ROI. Cost typically ranges from $165 for the PL-300 exam to $300–$500 for comprehensive training programs, representing minimal investment for substantial career advancement.
Following the Power BI dashboard crash course, participants access accelerated certification paths. Learners who complete Power BI programs receive a 50% discount voucher to take the PL-300 Certification Exam, significantly reducing certification costs.
Professional Recognition: Microsoft's Power BI Data Analyst Associate certification is meaningful because employers know it means passing the industry-recognized PL-300 exam, providing tangible career differentiation.
