Data Visualization and Business Intelligence
Description
Creation of compelling data visualizations and interactive dashboards using modern BI tools like Tableau, Power BI, and programming-based visualization libraries for effective communication of big data insights.
Learning Objectives
Students will design and create effective data visualizations for big data insights, develop interactive dashboards and reports using business intelligence tools, master programming-based visualization libraries, understand visual design principles for data communication, implement real-time visualization systems, and create data storytelling narratives that drive business decision-making.
Topics (9)
Comprehensive Tableau skills for big data visualization including connection to distributed data sources, advanced chart types, and interactive dashboard development.
Programming-based data visualization using Python ecosystem tools for creating publication-quality charts, interactive plots, and web-based visualization applications.
Advanced statistical visualization using R's ggplot2 package implementing the grammar of graphics for creating complex, multi-layered visualizations.
Web-based interactive data visualization using D3.js for creating custom, scalable visualizations that can handle big data and provide rich user interactions.
Design principles and best practices for creating user-centered dashboards that effectively communicate big data insights and support decision-making processes.
Development of real-time visualization systems capable of displaying live big data streams with low latency and high performance for operational dashboards.
Art and science of transforming big data insights into compelling stories that influence business decisions and communicate complex findings to diverse audiences.
Enterprise business intelligence development using Microsoft Power BI including data modeling, advanced analytics, and integration with Azure big data services.
Integration of advanced analytical capabilities with visualization tools to create intelligent dashboards that provide predictive insights and automated analysis of big data.