Storytelling and Visualization.

Catalog description

Current information professionals are faced with an overwhelming amount of information every day. The information is typically unstructured, abstract, large-scale, and needs a more efficient and intuitive way to represent the relationships, reveal the patterns, and/or discover potential opportunities. Information visualization has thus recently gained increasing attention and begun to be widely applied to scientific, engineering, and social disciplines to help people understand and present their information better. According to Gershon et al. (1998), visualization can provide “an interface between two powerful information processing systems—the human mind and the modern computer.” A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. Data visualization is the graphical representation of data in order to interactively and effectively convey insights to stakeholders general. With ever increasing volume of data, it is impossible to tell stories without visualization. Data visualization is an art of how to turn numbers in to useful knowledge. The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas. Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws. The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualization particularly important. In this course, you will learn how to leverage a software tool to visualize data that will also enable you to extract information, better understand the data, and make more effective decisions. This course provides a practical approach to learning the theories and techniques of data visualization for data analysis. Python lets you learn the art of visualization by offering a set of inbuilt functions and libraries to build visualizations and present data. In this course you will learn functionality for visualization and basics of data visualization and exploratory data analysis using Matplotib and seaborn, a data visualization packages for the statistical programming language Python. The course will give you the skills you need to leverage data to reveal valuable insights and advance your career. You will study the application of primary drawing functions and advanced drawing functions and will focus on understanding the methods of data exploration by visualization. The ultimate goal of this course is to provide students with an alternative powerful tool to process information in the specific domain of their own interests.