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16Apr
Tableau Certification Training in Salinas, CA
9:00 AM - 11:59 PM Salinas, California, United States
Date: April 16, 2019 to April 16, 2019
Where: Salinas, California, United States, 219 Massolo Court, Salinas, California, United States, 93907
Phone: N/A
Event Type: Business
Ticket Price: N/A
Key Features: 32 Hours of classroom training Real-life Case Studies 20 Hours Assignments Lifetime Access 24 x 7 Expert Support Certification About The Course: Educera'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 analyticsBusiness users and students who want to develop a set of core Tableau Desktop proficiencyProfessionals 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 t