Description

Power BI Training for Research and Development Professionals (2 Days)

Our specialized Power BI training course is designed specifically for Research and Development (R&D) professionals. This 2-day course, delivered online, provides a deep dive into the unique data requirements and challenges faced in the R&D sector. Learn how to harness the full potential of Power BI to streamline data analysis, enhance data models, and create compelling visualizations tailored to R&D needs.

COURSE OUTLINE

Introduction to R&D Data Needs and Requirements

The Unique Data Landscape of Research and Development

In this module, we explore the types of data commonly used in R&D, including experimental, clinical, and engineering data. We also discuss data integrity, quality requirements, and the regulatory and compliance considerations essential for managing R&D data.

Overview of Power BI’s Role in R&D

This section provides an overview of how Power BI can be integrated into R&D processes, highlighting the benefits of using Power BI for data analysis. Real-world case studies demonstrate Power BI in action within R&D environments.

Data Acquisition and Preparation in R&D

Data Sources in Research and Development

Learn about the various internal and external data sources commonly used in R&D, including laboratories, pilot plants, public databases, and more. This module also covers real-time data streaming and its applications in R&D.

Data Preparation Techniques for R&D in Power BI

Master the techniques for handling complex data structures, cleaning and transforming experimental data, and combining multiple data sources in Power BI. This module is crucial for ensuring data accuracy and reliability.

Data Governance and Security in R&D

Explore best practices for managing data sensitivity and confidentiality in Power BI, including implementing robust data security measures, data versioning, and maintaining audit trails.

Building Effective Data Models for R&D

Key Data Modeling Techniques in R&D

Understand the key data modeling techniques essential for R&D, such as entity-relationship modeling, time-series modeling, and multi-dimensional modeling, to effectively manage and analyze complex datasets.

Handling Large and Complex Datasets

Learn how to optimize data models for performance, partition and aggregate data efficiently, and use Power BI’s dataflow capabilities for scalable data management in R&D.

Working with Unstructured and Semi-Structured Data

This module covers advanced techniques for incorporating text and image data into Power BI, performing advanced transformations, and leveraging AI capabilities for data analysis in R&D.

Advanced DAX for R&D Analytics

Calculated Columns and Measures for R&D

Dive into advanced DAX functions and learn how to build complex calculations tailored to experimental metrics, including time intelligence in R&D contexts.

DAX for Predictive and Prescriptive Analytics

Explore predictive modeling with DAX, implementing what-if scenarios, and advanced statistical functions to enhance decision-making in R&D.

Optimization Techniques for DAX in R&D

Master techniques for improving the performance of complex DAX queries, managing memory efficiently, and troubleshooting DAX for optimal performance.

Effective Visualization Techniques for R&D Data

Best Practices for Visualizing R&D Data

Learn how to select the right chart types for different data, visualize experimental and simulation data, and create interactive reports tailored to R&D stakeholders.

Advanced Visualizations in Power BI

Discover custom visuals for R&D applications, geo-spatial analysis, and how to utilize Python and R visuals within Power BI for enhanced data insights.

Storytelling with Data in R&D

Develop compelling data narratives, utilize bookmarks and report page tooltips, and design dashboards that effectively communicate key insights to R&D executives.

Collaborative Reporting and Sharing Insights

Collaboration Tools in Power BI for R&D Teams

This module covers collaboration tools within Power BI, such as Power BI Service, workspaces, and the use of comments and annotations to enhance team collaboration in R&D.

Automating Reports and Dashboards for R&D

Learn how to automate report distribution, schedule data refreshes, and embed Power BI reports in R&D portals and tools for seamless access to insights.