Tableau Training & Certification in Washington, D.C
Key Features: 30 Hours Instructor-led Sessions Real-life Case Studies 20 Hours Assignments Lifetime Access 24 x 7 Expert Support Certification About The Course: Trainerkart’s Data Visualization using Tableau 10 Certification Training will make you an expert to utilize Tableau to create and distribute interactive and shareable dashboards. Learn about Data blending, Charts, Graphs, LOD expressions, Tableau Desktop, Tableau Public, Tableau Reader, and integrate Tableau with R. Who Should Apply? This Tableau training is designed for: Analytics professionals, IT developers and testers Data analysts, Data scientists BI and reporting professionals Project managers Professionals aspiring for a career in the growing and demanding fields of real-time big data analytics Business users and students who want to develop a set of core Tableau Desktop proficiency Professionals planning to take the Tableau certification exam. What Will You Learn? Introduction to Data Visualization Goal: Give a brief idea of data visualization and introduce Tableau 10 Objectives: Identify the prerequisites, goal, objectives, methodology, material, and agenda for the course Discuss the basic of Data Visualization Get a brief idea about Tableau, establish connection with the dataset, perform Joins operation on the data set Topics: Data Visualization Introducing Tableau 10.0 Establishing Connection Joins and Union Data Blending Hands On: Establishing connection with the files, Introducing important UI components (ShowMe, Fit Axes) Perform Cross Joins between the dataset Visual Analytics Goal: Learn to manage your dataset and analyze things visually with the help of Marks Card and “highlighting” feature. Objectives: Manage extracts and metadata (by creating hierarchy and folders) Describe what is Visual Analytics, why to use it, and it’s various scopes Explain aggregating and disaggregating data and how to implement data granularity using marks card on aggregated data Describe what is highlighting, with the help of a use-case Illustrate basic graphs including bar graph, line graph, pie chart, dual axis graph, and area graph with dual axis Topics: Managing Extracts Managing Metadata Visual Analytics Data Granularity using Marks Card Highlighting Introduction to basic graphs Hands On: Creating Extracts, Hierarchy, Folders All the features of Marks Card Shelve with use case provided Power of Highlighting in the visualization using the Use-case How to create basic graphs in Tableau10.x Visual Analytics in depth I Goal: This module presents to you the granular content of Visual analytics, covering various techniques to perform sorting, filtering and grouping on the dataset. Objectives: Perform sorting techniques including quicksort, using measures, using header and legend, and sorting using pill with the help of a use case. Master yourself into various filtering techniques such as Parametrized filtering, Quick Filter, Context Filter. Learn about various filtering option available with the help of use case and different scenarios. Illustrate grouping using data-window, visual grouping, and Calculated Grouping (Static and Dynamic). Illustrate some more graphical visualization including Heat Map, Circle Plot, Scatter Plot, and Tree Maps. Topics: Sorting. Filtering. Grouping Graphical Visualization Hands On: Quick Sort, Sorting using measure, Sorting using header and legends, sorting using pill (use-case). Filtering Use cases covering different options (General, Wildcard, Conditional). Interactive Filter, Quick Filter, Context Filter. Grouping using Data Window, Visual Grouping, Calculated Grouping (Static and dynamic). Visual Analytics in depth II 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, parameterized concepts, and creating sets. Objectives: Explain the basic
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