Business Intelligence Toolkit Overview - Microsoft Power BI and R

Overview

Explore data visualization with Power BI and R, focusing on cognitive psychology theory and practical applications for creating effective dashboards and analyses.

Syllabus

• Introduction to Business Intelligence
Definition and Importance of Business Intelligence
Overview of Popular BI Tools
• Basics of Data Visualization
Cognitive Psychology in Data Visualization
Principles of Effective Dashboard Design
• Introduction to Microsoft Power BI
Features and Capabilities of Power BI
Setting Up and Navigating the Power BI Interface
• Data Preparation and Transformation in Power BI
Importing Data from Various Sources
Using Power Query for Data Cleaning and Shaping
• Visualizing Data with Power BI
Creating Basic Visualizations (Charts, Tables, Maps)
Use of Filters and Slicers in Dashboards
• Advanced Power BI Techniques
Introduction to DAX (Data Analysis Expressions)
Creating Calculated Columns and Measures
Building Interactive Dashboards
• Introduction to R for Data Visualization
Overview of R and RStudio
Basic R Syntax and Data Structures
• Utilizing R for Enhanced Power BI Dashboards
Integrating R Scripts in Power BI
Advanced Statistical Analysis with R
• Practical Applications and Case Studies
Real-World Examples of BI Dashboards
Case Studies on Dashboard Effectiveness
• Best Practices for Dashboard Development
User-Centered Dashboard Design
Ensuring Accessibility and Usability
• Course Project: Creating an Effective BI Dashboard
Designing a Project Proposal
Developing and Presenting the Final Dashboard
• Conclusion and Further Learning
Recap of Key Concepts
Resources for Continued Learning in BI and Data Visualization

Subjects

Conference Talks