Visualization

- [Instructor] To overcome the challenge of effectively communicating the results of data analytics to a lay audience, data scientists frequently rely on visualization. Therefore it is to data scientists' advantage to have a good understanding of effective visualization techniques so that they can use the most effective one for a given problem and audience. Some of the well known characteristics of effective visualization are readily available. These include displaying data at multiple levels of details and avoiding distorting the message to be conveyed while attempting to visualize it. It is also very helpful to know how to use some of the software tools offered by the industry leaders of visualization solutions. For example, Tableau offers one of the most popular and comprehensive visualization tools for data scientists. It supports a variety of visualization elements such as different types of charts, graphs, maps and…