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Tableau Training Key Features

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Practical Tableau Visualization Labs

Get hands-on experience connecting, analyzing, and visualizing data using Tableau Desktop and Tableau Public in our dedicated lab environment.

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Flexible Online and In-Person Classes

Learn at your convenience through our classroom sessions at Ameerpet or Kukatpally, or join live interactive online classes from anywhere in the world.

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Dedicated Tableau Mentorship

Receive personalized assistance for all your Tableau projects and complex analytical challenges from our experienced instructors during and after your course.

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Robust Career & Placement Guidance

We help you prepare for data visualization interviews with mock sessions, resume optimization, and direct connections to job opportunities in data-driven companies.

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Real-World Dashboard & Story Projects

Gain invaluable experience by developing end-to-end interactive dashboards and compelling data stories for various business scenarios using real datasets.

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Engaging Learning Community

Collaborate with a supportive community of peers and instructors, fostering enhanced data visualization skills, knowledge sharing, and valuable networking opportunities.

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Tableau Training Overview

Value Learning offers comprehensive Tableau training courses at both Ameerpet and Kukatpally (KPHB), Hyderabad. Our programs are meticulously designed to equip you with the practical skills needed to transform raw data into insightful visualizations and actionable business intelligence.

Tableau is a leading visual analytics platform that empowers users to explore, analyze, and present data in a highly interactive and intuitive manner. It excels at connecting to diverse data sources, blending data, and creating compelling dashboards and stories that drive informed decision-making. Our expert-led training covers the entire Tableau workflow, ensuring you are proficient in data connectivity, analysis, visualization best practices, and effective sharing of your insights across your organization.

320

Successful Learners

68k

Training Hours Delivered

540

Enterprise Projects Covered

Tableau Training Objectives

The Tableau course at Value Learning, delivered at our Ameerpet and Kukatpally (KPHB) centers in Hyderabad, is designed to give learners a robust understanding of Tableau's capabilities for data visualization and business intelligence.

Through this training, you will gain hands-on experience with data connection, blending, creating various chart types, and building highly interactive dashboards and data stories. You'll learn to effectively communicate complex data insights through compelling visual analytics.

The primary goal of the training is to empower learners to confidently transform raw, complex data into clear, actionable visual insights, enabling data-driven decision-making across organizations.

To equip learners with comprehensive, practical experience in the end-to-end Tableau project development lifecycle, from data preparation to publishing interactive visualizations, preparing them for specialized roles in data visualization and business intelligence.

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Course Curriculum - Tableau

Overview:
  • What is Tableau? Its Role in Business Intelligence and Data Visualization
  • Understanding the Tableau Product Suite (Desktop, Public, Server, Online)
  • Importance of Visual Analytics and Data Storytelling
  • Tableau Interface Overview: Data Source, Sheet, Dashboard, Story
  • Setting up Tableau Desktop and Navigating the Workspace

  • Connecting to Various Data Sources: Excel, Text Files, CSV
  • Connecting to Relational Databases (SQL Server, Oracle, etc.)
  • Connecting to Cloud Data Sources (Google Sheets, Amazon Redshift)
  • Understanding Live Connection vs. Extract Connection
  • Managing Data Source Properties and Refreshing Data

  • Understanding Data Pane: Dimensions and Measures
  • Cleaning Data: Splitting, Pivoting, and Unpivoting Data
  • Data Interpreter and Handling Null Values
  • Working with Different Types of Joins (Inner, Left, Right, Full Outer)
  • Unioning Data and Data Blending Techniques

  • Building Bar Charts, Line Charts, and Area Charts
  • Creating Pie Charts and Treemaps
  • Understanding Scatter Plots and Histograms
  • Utilizing the "Show Me" Feature for Quick Visualizations
  • Customizing Marks, Colors, Shapes, and Sizes

  • Building Dual-Axis Charts and Combination Charts
  • Creating Box-and-Whisker Plots and Gantt Charts
  • Introduction to Mapping in Tableau: Filled Maps, Symbol Maps
  • Customizing Maps: Layers, Background Maps, Geographic Roles
  • Creating Custom Territories and Radial Gradients

  • Creating Basic Calculated Fields for Custom Measures and Dimensions
  • Using Logical Functions (IF, THEN, ELSE)
  • Date Functions, String Functions, and Number Functions
  • Introduction to Parameters for User Interactivity
  • Using Parameters in Calculated Fields and Reference Lines

  • Understanding Table Calculations: Running Sum, Percent of Total, Rank
  • Customizing Table Calculation Computations
  • Introduction to Level of Detail (LOD) Expressions: FIXED, INCLUDE, EXCLUDE
  • Solving Complex Analytical Problems with LODs
  • Order of Operations in Tableau

  • Applying Various Types of Filters (Dimension, Measure, Date, Context)
  • Creating Groups for Categorical Data
  • Working with Sets: Combining, Intersecting, and Excluding Data
  • Building Hierarchies for Drill-down Functionality
  • Actions: Filter Actions, Highlight Actions, URL Actions

  • Principles of Effective Dashboard Design
  • Adding Multiple Sheets to a Dashboard
  • Using Containers and Layout Options for Organization
  • Adding Interactivity with Filters, Highlighters, and Parameters
  • Creating Dashboard Actions for Dynamic Behavior

  • Creating a Story: Combining Dashboards and Sheets for Narrative
  • Designing Story Points and Adding Captions
  • Best Practices for Presenting Data Insights
  • Publishing Workbooks to Tableau Public/Server/Online
  • Sharing and Collaborating on Published Content

  • Understanding Tableau Server/Online Environment
  • User and Group Management, Permissions
  • Scheduling Extracts and Data Refreshing
  • Monitoring Server Performance and Usage
  • Deployment Strategies and Best Practices

  • Strategies for Optimizing Workbook Performance
  • Using Extracts Effectively and Optimizing Data Sources
  • Reducing the Number of Marks and Level of Detail
  • Understanding Query Performance and Data Blending Impact
  • Best Practices for Dashboard Load Times

  • Connecting Tableau to SQL Databases (Advanced)
  • Integrating with Python/R for Advanced Analytics
  • Embedding Tableau Visualizations in Web Applications
  • Using Tableau Prep for Advanced Data Preparation (overview)
  • Leveraging Tableau Public for Portfolio Building

  • Conditional Formatting Techniques
  • Creating Custom Shapes and Images
  • Debugging Common Tableau Issues
  • Utilizing Tableau Community Resources
  • Staying Updated with Latest Tableau Features

  • End-to-End Capstone Project using a Real-World Dataset
  • Building a Professional Tableau Portfolio for Job Applications
  • Preparing for Tableau Desktop Specialist/Certified Associate Exams
  • Career Paths: Data Analyst, BI Analyst, Tableau Developer
  • Job Market for Tableau Professionals in Hyderabad, Telangana, India
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