Data Analysis and Visualization in Power BI (Batch-13)
in Business IntelligenceWhat you will learn?
Advanced Data Cleaning and Transformation Techniques
Efficient Data Modeling and Relationship Management
Mastering DAX for Complex Calculations and Measures
Designing Interactive Dashboards and Visual Reports
Publishing, Sharing, and Collaborating on Power BI Reports
Course description
This comprehensive Power BI course, offered by Brain Analytics, is designed for professionals looking to unlock the power of data visualization and analysis. Whether you're a beginner or an experienced analyst, this course guides you step-by-step through Power BI fundamentals, advanced data modeling, and impactful dashboard creation. You'll gain the skills needed to make data-driven decisions confidently
The course covers the entire Power BI workflow, from data connection, transformation, modeling, and visualization to advanced DAX techniques for complex calculations. You’ll learn to create dynamic dashboards and share insights across your organization, with real-world applications and case studies providing actionable learning. Practical projects and live training sessions ensure you develop skills that can be immediately applied to your work.
Course Benefits
This course offers comprehensive training, covering both basic and advanced Power BI techniques. Gain practical experience through real-world datasets and hands-on projects, equipping you with applicable skills. Learn from industry experts, enhancing your knowledge and expertise. By mastering Power BI, you will advance your career with in-demand skills. The course also emphasizes interactive learning through live sessions and practical exercises to reinforce key concepts.
Certification
Requirements
Basic knowledge of Excel and data analysis (preferred but not required).
A 64-bit computer with Power BI Desktop installed (installation guidance provided).
A stable internet connection for live sessions and course access.
Willingness to participate in interactive learning and practice with real-world datasets.