BISP is now offering an in-depth understanding of Data Visualization Including Machine Learning concepts using Tableau for Tableau developers and complete Tableau Server training for Tableau administrators. Training includes 30 hours of hands-on exposure to ensure that you are left will a feeling of being an expert at the Tableau tool usage. We have considered the industry requirement & devised the course to ensure that you have the practical exposure required to swim through the interviews with ease. The case studies explained towards the end will only reinforce the practice learning to make you complete to face the real world projects & problems which are solved using Tableau. The datasets chosen ensures that you learn every option completely. With a lot of industry connects you get to know the job opportunities which none would otherwise. This course will help you unlock new career opportunities and gain an edge over other analysts. Our course will help you understand architecture, dashboards, graphs, filters, parameters and much more.
Who Should Attend
oData Scientists, Business Intelligence Professionals, Testing Professionals
oStatisticians , Business Analysts ,Project Managers
oData Visual Analysts Functional Experts
oGraduates and Professionals looking to move to analytics domain
Tableau is one of the most widely used data visualization, reporting and business intelligence tools in the world and has regularly been ranked as a “leader” in the Gartner Magic Quadrant. Tableau is simple to use and has extensive visualization capabilities that make it the reporting tool of choice for enterprises around the world.
The Tableau training including machine learning concepts organized by BISP help on acquiring important skills you can use on the job such as using statistical tools and analytics, creating reports and dashboards, and mastering the many aspects of data visualization and it helps in clearing Tableau Desktop 11 Certification.
Introduction to Data Visualization with Tableau
oWhat is Data Visualization?
oIdentify the prerequisites, goal, objectives, methodology and Goal.
Architecture of Tableau
oWhat is Tableau?
oFeatures of Tableau.
oInstallation of Tableau Desktop.
oInterface of Tableau\(Layout/Toolbars/Data Pane/Analytics Pane etc).
Managing Data Sources
oConnection to various data sources
oMysql Database connectivity and tables
oODBC and other sources connectivity
Introduction to Visual Analytics with Tableau.
oIntroduction to various charts
oBar Charts, Line Graphs, Pie Charts
oMaps, Scatter Plots, Gantt Charts, Bubble Charts
oTree maps and Box-and-Whisker Plots
oData Granularity using Marks Card
Deep dive into Visualization
oHighlighting Tables, Heat Maps.
oSide By Side bar charts, Dual Axis Charts, Area Charts.
oWaterFall Charts, Bumo Chart, Word Cloud Chart, Pareto Charts.
oParameter using sets and filter
ofields : continuous and discreate visualization
oQuick Sort, Sorting using measure, Sorting using header and legends, sorting
oFiltering Use cases covering different options (General, Wildcard, Conditional).
BISP is committed to provide BEST learning material to the beginners and advance learners. In
the same series, we have prepared a complete end-to end Hands-on Beginner’s Guide for Tableau. The document focuses on replacing data source runtime. Join our professional training program and learn from experts.
Tableau Lab 6 Custom Query by Example
BISP is committed to provide BEST learning material to the beginners and advance learners. In the same series, we have prepared a complete end-to end Hands-on Beginner’s Guide for Tableau Reporting. The document focuses on using custom SQL. Join our professional training program and learn from experts.