3.0

credits

Average Course Rating

Data exploration and visualization are crucial foundational skills for data analysis and decision analytics. Developing such skills enable us to leverage data to give insights to our audience. Using storytelling and visualization techniques helps us interpret data patterns to information that will assist managers in their decision-making process. Complex ideas can be effectively and clearly communicated when they are represented visually. Students who take this course will learn how to visualize data. It focuses on modern methods and standards for data visualization. This course covers how to better engage decision-makers via data visualization. It focuses on transforming data into digital visual narratives using modern visualization tools. This course covers the principles for meaningful data visualization, including ethical issues which need to be considered when presenting data visually. Students will apply practical and theoretical knowledge to transform data and critique visual representations to convey better the lessons learned from data exploration. The successful student will be able to demonstrate practical skills and theoretical disciplinary knowledge that will allow them to visually explain the important consequences of their data analytics in a corporate setting. Students will learn to use data analysis software (Excel and Tableau) for data cleaning and visualization. No prior programming experience is necessary, but a working knowledge of Excel will prove useful.