Data drives applications across all domain and places itself as key strategic asset for any organization. Developing and extracting meaningful information from them is more important than ever before. Visual analytics provides a much better understanding data and use them more effectively. Charts, graphs, and maps are now seen as more impactful ways to communicate complex data and complement analytical interpretations on them.
This course creates an opportunity for learners interested in data visualization and visual analytics to select the best visualization and develop interpretion for the given data set. It enables you to master most plot types like histograms, scatter plots, line plots and bar plots to more complex visualization. The course gives you an opportunity to understand theoretical and mathematical foundations of data analysis and allows you learn about best practices of data visualization, and also avoiding common pitfalls. The course gives equal importance to hands-on practical exercises by visually exploring real world datasets from domain of medicine, scientific experiments, finance and other topics of computational sciences. This course is interdisciplinary in nature and can be taken by wide range learners interested in data analysis and visualization.