Introduction to Data Visualization 5
Goal : Give a brief idea of data visualization and introduce Tableau 10
Visual Analytics 6
Goal : Learn to manage your dataset and analyze things visually with the help of Marks Card and “highlighting” feature.
Visual Analytics in depth I 4
Goal : This module presents to you the granular content of Visual analytics, covering various techniques to perform sorting, filtering and grouping on the dataset.
Visual Analytics in depth II 6
Goal : This module presents to you Visual analytics in a more granular manner thereby letting you to dive deep into the content. It covers various advanced techniques of analyzing data including, forecasting, trend lines, reference lines, clustering, parametrized concepts, and creating sets.
Dashboard and Stories 5
Goal : Learn all about Dashboards and Stories in Tableau.
Goal: This module helps you in understanding mapping in detail, editing unrecognized and ambiguous location, and creating customized geocoding. Learn about polygon map and Web Mapping Service, and finally, add background images with self-generated coordinates.
Goal: This module will help you in creating basic calculations including string manipulation, basic arithmetic calculations, date math, logic statements and quick table calculations. Along with this, you will be also introduced to LOD expressions with the help of use cases.
Goal : Plot various types of Charts using Tableau 10 and have extensive hands-on on industry use cases.
Integrating Tableau with R and Hadoop 7
Goal: This module introduces you to the concept of Big Data, Hadoop, and R. You discuss the integration between Tableau and R and finally publish your workbook on Tableau Server.