Data Visualization with Tableau - Course Overview

Tableau is a renowned data visualization and BI tool that enhances your skills in visualizing and analyzing data. Taking a Tableau course offers multiple benefits, including proficiency in its features, connecting with diverse data sources, and creating dynamic visualizations. You’ll learn best practices for effective chart types, color schemes, filtering, and layout design. Mastering Tableau enables you to generate accurate insights, automate tasks, and create interactive dashboards that tell compelling data stories.  

 

The course covers the following topics: 

Introduction to Tableau and Tableau Workflow: This section provides an overview of the Tableau Platform, Application Terminology, Visual Cues for Fields, Understanding Permissions in Tableau, navigating a Tableau Site, architecture, understanding the Tableau Workflow, understanding Elements of Visualization. 

Setting up connections and data sources: This section covers the process of establishing connections with various data sources in Tableau, including an overview of Tableau file types and extensions. You will learn how to create live data connections, save and edit data sources, modify data attributes, and understand. 

Changes in the data.: This section teaches how to create groups, sorting of data, understand Data Filtering, Date Filters, Creating Hierarchies, Creating Crosstabs, Grand Totals, Subtotals, and Changing Aggregation, Creating Highlight Tables. 

Tableau data analysis: This section teaches how to use Discrete Date Parts and Continuous Date Values, Using Measure Names and Measure Values in a view. 

Creating Sets and Parameters: This section teaches how to use Sets, Combined Sets, and Create Parameters. 

Creating and Connecting to Data Sources: This section provides an overview of Joins, Unions, merging fields, Relationships between tables, Data Blending, using Data extracts. 

Calculations in Tableau: This section teaches you how to create Number functions, String functions, Date Functions, Type conversion Functions, Logical Functions, Aggregate functions, Considerations for Calculated Fields, Advanced Table Calculations, Table Calculation Types, Customizing Table Calculations, using Quick Table calculations, using Rank to show biggest to smallest, understanding Level of Detail (LOD) Expressions. 

Data Analysis in Tableau: In this section, you will learn valuable techniques for comparing measures in Tableau. You’ll explore how to utilize a bar in a bar chart to compare two measures effectively. Additionally, you’ll discover the power of a bullet graph in comparing progress toward a goal. The use of reference lines, along with parameters, will be covered to provide further insights. You’ll also learn how to incorporate reference bands and scatter plots for displaying correlations and outliers and leverage the analytics pane for advanced analysis. Finally, the section will delve into the application of trend lines and models to uncover patterns and make predictions. 

Viewing Distributions in Tableau: This section covers how to create Bins and Histograms, Box and Whisker Plots, Pie Charts, and Tree Map. 

Mapping and analyzing Data Geographically using Tableau: This section teaches Mapping, Navigation, and selections using Marks layers for Maps. 

Dashboards and Stories: This section covers the development process for Dashboards and Stories to visualize data meaningfully, adding Interactivity with Filters and Actions, Tooltips, and publishing Dashboard Online. 

 

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Key Features of the Data Visualization with Tableau

  • Our instructors bring expertise and industry experience to Tableau.
  • Our comprehensive curriculum covers data Visualization, data analysis, dashboards, data connectivity, and many more with the Tableau tool.
  • Our hands-on approach emphasizes practical experience in data visualization with Tableau.
  • Through interactive labs and exercises, you can apply learned concepts in real-world scenarios, solidifying understanding and building confidence in effective Tableau usage.
  • Check out our reviews, testimonials, and recommendations from past clients and training.
  • It is the perfect blend of an instructor-led course and hands-on lab environment, helping us to gain insight into the tool of Tableau Desktop and Tableau Online.

Who can participate in the Tableau Desktop Specialist and Tableau Data Analyst Training?

  • The Tableau Training aims to enhance the abilities of individuals who wish to enhance their Career prospects in the rapidly rising data visualization and BI industry by improving their data analysis and visualization expertise by utilizing Tableau. Tableau tool is suitable for a variety of professionals.
  • This course tailor's business intelligence professionals seeking to elevate their data analysis and visualization expertise.
  • The training program is structured for data analysts aiming to develop proficiency in utilizing the Tableau Visualization tool for data analysis.
  • This course caters to data scientists who seek to leverage Tableau to craft impactful and engaging data visualizations.
  • The instructor-led course is intended for IT professionals interested in acquiring the skills to build reports and dashboards for data Visualization in Tableau.
  • Tableau learning course aims at project managers who wish to enhance their comprehension of data analysis and visualization techniques, enabling them to manage projects with a data-driven approach effectively.
  • This course welcomes all individuals curious to expand their knowledge of data analysis and Visualization, regardless of their background or prior experience.

What are the prerequisites for the Tableau Training?

  • There are no prerequisites for the Tableau Training, but a basic understanding of data analysis and visualization concepts can be helpful. The training program is appropriate for beginners to professionals seeking to elevate their data analysis and visualization abilities. However, the following skills will be helpful:
  • Basic understanding of charts, graphs, and data handling
  • Basic knowledge of using Excel to have an idea about data analytics

While acknowledging the significance of the mentioned prerequisites, our skilled trainers are committed to starting the course from the fundamentals, guaranteeing that even students without prior experience can confidently comprehend the training materials on Tableau.

What makes CloudThat a compelling choice for Tableau training?

  • At CloudThat, we have over 11 years of training and consulting experience, providing comprehensive Tableau tool training to a wide range of professionals. Our expertise caters to Business Intelligence Professionals, Data Scientists, Testing Professionals, Statisticians, Business Analysts, Project Managers, Data Visualization Analysts, Functional Experts, as well as graduates and professionals seeking to transition into the analytics domain.
  • CloudThat has successfully trained a vast number of professionals, approximately 6.5 lakh individuals, and provided training and consultancy services to more than 300 corporate clients across the globe.
  • Our Expert for Tableau course emphasizes a significant portion of hands-on lab sessions, ranging from 50% to 60%, to foster a learning approach centered around scenario-based problem-solving.
  • Our trainer facilitates instructor-led training and mentoring sessions that focus on developing competency-based learning (CBL) methodologies. These sessions are designed to enhance participants' skills and knowledge through practical application and real-world scenarios.
  • CloudThat offers training and consulting services with a proven track record of successfully delivering numerous projects, including engagements with Fortune 500 companies.
  • CloudThat has established itself as a Microsoft Partner, as well as partnering with other renowned industry leaders such as AWS, GCP, and VMWare

Learning Objectives of Tableau Data Visualization Training

  • Understanding Tableau Fundamentals: Gain a solid understanding of the core concepts and features of Tableau visualizations and analysis of multiple datasets without any complex coding or scripting.
  • Understanding Visual Analytics: Learn how to implement the tricks to help fulfill business requirements using Tableau and build advanced chart types, like bar-in-bar and bullet graphs.
  • Building Dashboards: Develop skills in creating interactive and visually compelling reports and dashboards using Tableau Desktop and Tableau Online, leveraging drag and drop interface.
  • Exploratory Analysis: Explore advanced statistical techniques for Tableau visualization and data analysis. It supports audience analysis using parameters and input controls.
  • Storytelling with data: Learn ways to create dashboards as well as story points to develop a strong and powerful story of the data.
  • Managing Data Sources: Explore effective techniques for connecting to and gathering data from multiple sources in Tableau. Learn to combine multiple tables of data using Joins, Unions, and relationships to create comprehensive datasets. Additionally, I discovered the advantages of using data extracts to enhance performance and optimize data retrieval in Tableau.
  • Creating Calculations in Tableau: Learn best practices for using Arithmetic, string, and Logical calculations in Tableau, LOD calculations. Use calculations, parameters, and table calculations together.
  • Implementing Advanced Visualizations: Explore advanced visualization techniques, such as custom visuals, bookmarks, drill-through actions, and storytelling, to create impactful and interactive dashboards. The learning objectives are designed to impart a comprehensive understanding of Tableau as a tool for data analysis and Visualization. They aim to prepare participants for real-world data analysis scenarios.

Modules covered in the Tableau Visualization and Analysis Course Download Course Outline

  • Understanding the Tableau Workflow
  • Elements of a Visualization
  • Getting Started in Tableau
  • Tableau File Types and Extensions
  • Creating a Live Data Connection
  • Saving and Editing a Data Source
  • Modifying Data Attributes
  • Understanding Changes to Data

  • Data Filtering 
  • Creating Date Filters
  • Sorting
  • Using Groups
  • Creating and Using Hierarchies

  • Using Sets 
  • Combined Sets
  • In and Out Sets
  • Analyze an Outlier Using Explain Data
  • Nested Sorting and Context Filters
  • Using Parameters
  • Parameters and Filters
  • Using Parameters with Reference Lines 

  • Data Connections Page
  • Physical and Logical Layers
  • Connecting to Single- and Multi-table Data Sources
  • The Data Pane User Interface
  • View Data
  • Joins (Inner, Left and Right, Full Outer)
  • Unions
  • Merging Fields
  • Relationship Levels of Detail
  • Setting up a Relationship Between Tables
  • Joins vs. Relationships
  • Creating Relationships Between Tables from Different Databases
  • Relationships, Joins, Unions, and Blends

  • Working with Dates in Tableau
  • Using Continuous Date Values and Discrete Date Parts.
  • Using Multiple Measures in a View
  • Use of Measure Names and Measure Values in a View
  • Combined or Shared Axis Charts
  • Creating Dual Axis Charts
  • Grand Totals, Subtotals, and Changing Aggregation

  • Using Calculations in Tableau
  • Calculation Types
  • Creating and Editing Calculated Fields
  • Formula Editor Conventions
  • Types of Calculated Fields - Examples
  • Calculations and Aggregations
  • Introduction to LOD Expressions
  • String Functions
  • Split and Custom Split
  • Type Conversions
  • Date Calculations - Examples

  • Examples Showing Correlations and Outliers with Scatter Plots
  • Create a Scatter Plot
  • Analyze Using the Highlighter
  • Analyze an Outlier Using Explain Data
  • Using the Analytics Pane
  • Trend Lines and Trend Model 
  • Reference Lines and Bands 
  • Table Calculation Overview
  • Using Quick Table Calculations
  • Using Rank to Show Biggest to Smallest

  • Bins and Histograms
  • Box and Whisker Plots

  • Mapping in Tableau
  • Navigation and Selection in Maps

  • Dashboards
  • Dashboard Actions
  • Publish Your Dashboard Online
  • Planning Your Dashboard
  • Building Your Dashboard
  • Add Interactivity with Filters and Actions
  • Adding Actions to Your Dashboard
  • Additional Dashboard Actions
  • Set Actions
  • Parameter Actions
  • Visual Best Practices
  • Add Instructions & Annotations
  • Tooltips
  • Remove Chart Extras
  • Dashboard Layout
  • Dashboard Visual Elements
  • Dashboard Interactive Elements 
  • Story

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Course ID: 15759

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$1600 + 0% TAX
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Frequently Asked Questions

There are numerous skills one learns by the end of Tableau training like in-depth Tableau knowledge, data handling, Mapping, Field and Chart types, Organizing and simplifying the data, Data connections, setting up Dashboards, Creating a Data-driven story, Expert data Calculations.

There are various benefits of Tableau for data visualization, such as unique visualization capabilities, multiple data source connections, good analytics features, easy drag and drop, mobile-friendly, and more.

The Tableau training can benefit various job roles within data analysis. It is particularly beneficial for professionals aiming for career advancement in roles such as data analyst, Business Data Analyst, Financial Data Analyst, BI Consultant, and Tableau BI Developer. The responsibilities of these individuals encompass the design and implementation of solutions using Tableau, working in collaboration with stakeholders, analyzing data, creating visualizations, and optimizing Tableau solutions. The Tableau instructor-led training validates their expertise, enhances their credibility, and opens opportunities for higher-level roles and increased responsibilities in organizations that leverage the Tableau Visualization tool for data-driven decision-making and process automation.

Tableau is one of the most demanded Visualization tools in the market. Attaining the popular Tableau training on Visualization can have a substantial impact on career progression and an increase in salary. The training validates your expertise in designing and implementing solutions using Tableau, positioning you as a highly sought-after professional in the industry and reinforcing your credibility in the field.

Tableau has multiple certifications depending on different roles. These are as follows: Tableau Certified Desktop Specialist certification- This certification title does not expire, and there are no maintenance requirements. Tableau Certified Data Analyst - This title is valid for two years. Tableau Server Certified Associate - This title is valid for two years. It's important to note that the above FAQs provide general information. For the most accurate and up-to-date information, it's recommended to refer to the official Tableau website or consult Tableau Learning resources.

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