Tableau Course fees | Tableau Training

Module 1: Introduction to Data Visualization and Power of Tableau
In this module the candidate will learn about Data Visualization, Comparison benefits against reading raw numbers, Real use cases from various business domains, Examples of using Tableau, installing Tableau, Tableau interface, Connecting to Data source, Tableau data types and Data preparation
- Comparison and benefits against reading raw numbers
- Real use cases from various business domains
- Some quick and powerful examples using Tableau without going into the technical details of Tableau
- Installing Tableau
- Tableau interface
- Connecting to Data Source
- Tableau data types
- Data preparation
- Quiz Module 1
Module 2: Architecture of Tableau
In this module the candidate will learn about Architecture of Tableau, which includes learning of the installation, Desktop Architecture and Interface of Tableau, how to start with Tableau and the ways to share and export the work done in Tableau. The candidate will also be provided with a few Hands-on exercises, which will enhance the understanding of the Tableau
- Installation of Tableau
- Desktop Architecture of Tableau
- Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
- How to start with Tableau
- The ways to share and export the work done in Tableau
- Quiz Module 2
Module 3: Working with Metadata and Data Blending
In this module the candidate will learn working with Metadata and Data Blending, which includes understanding Connection to Excel, Cubes and PDFs, Management of the Metadata, preparation of Data, Joins and Unions , and how to deal with NULL Values, Cross- database joining, data extraction etc. The candidate will also be provided with Hands-on Exercises which will enhance the understanding of the candidate, of the topic and its working
- Connection to Excel
- Cubes and PDFs
- Management of metadata and extracts
- Data preparation
- Joins (Left, Right, Inner, and Outer) and Union
- Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc.
- Quiz Module 3
Module 4: Creation of Sets
In this module the candidate will learn about Creation Sets, in which you will learn how to Mark, Highlight, Sort, Group, and use Sets, understand what are Constant Sets, Computed Sets, Bins etc. The candidate will also be provided with Hands-on Exercises which will enhance the knowledge of the topics learned
- Mark, highlight, sort, group, and use sets (creating and editing sets, IN/OUT, sets in hierarchies)
- Constant sets
- Computed sets, bins, etc
- Quiz Module 4
Module 5: Working with Filters
In this module the candidate will learn about Filters, how to work with Filters, Filtering Continuous Dates, Dimensions and Measures, create folders in Tableau, sorting in Tableau, Filtering in Tableau and the order of Operations, types of Sorting and Filters. The candidate will also be provided with Hands-on Exercises which will enhance the knowledge of the topics learned
- Filters (Addition and removal)
- Filtering continuous dates, dimensions, and measures
- Interactive Filters, marks card, and hierarchies
- How to create folders in Tableau
- Sorting in Tableau
- Types of sorting
- Filtering in Tableau
- Types of filters
- Filtering the order of operations
- Quiz Module 5
Module 6: Organizing Data and Visual Analytics
In this module the candidate will learn about Visual Analytics and Organizing Data, in which the candidate will learn about usage of Formatting Pane and how to Format Data using Labels and Tooltips, Edit Axes and annotations, K-means cluster analysis, Trend and Reference lines, Visual Analytics and Forecasting, Confidence Interval, Reference lines and Bands. The candidate will also be provided with Hands-on Exercises which will enhance the knowledge of the topics learned and its working
- Using Formatting Pane to work with menu, fonts, alignments, settings, and copy-paste
- Formatting data using labels and tooltips
- Edit axes and annotations
- K-means cluster analysis
- Trend and reference lines
- Visual analytics in Tableau
- Forecasting, confidence interval, reference lines, and bands
- Quiz Module 6
Module 7: Working with Mapping Preview
In this module the candidate will learn about Mapping Preview, which includes Working on Coordinate points and the background image, Plotting Longitude and Latitude, editing unrecognized Location, Customizing Geocoding, Maps etc., Map visualization, Custom territories, Map box WMS map and creating Map projects in Tableau and Dual Axes Maps. The candidate will also be provided with Hands-on Exercises which will enhance the knowledge of the topics learned and its working
- Working on coordinate points
- Plotting longitude and latitude
- Editing unrecognized locations
- Customizing geocoding, polygon maps, WMS: web mapping services
- Working on the background image, including add image
- Plotting points on images and generating coordinates from them
- Map visualization, custom territories, map box, WMS map
- How to create map projects in Tableau
- Creating dual axes maps and editing locations
- Quiz Module 7
Module 8: Working with Calculations and Expressions
In this module the candidate will learn about Calculations and functions in Tableau, LOD expressions, aggregation and Replication with LOD expressions, Nested LOD expressions, Levels of details, Quick table calculations, Creation of calculated fields and Predefined calculations and validation
- Calculation syntax and functions in Tableau
- Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number
- LOD expressions, including concept and syntax
- Aggregation and replication with LOD expressions
- Nested LOD expressions
- Levels of details: fixed level, lower level, and higher level
- Quick table calculations
- The creation of calculated fields
- Predefined calculations
- How to validate
- Quiz Module 8
Module 9: Working with Parameters Preview
In this module the candidate will learn about Parameters, creating and its calculations, using Parameters with calculations Column and chart selection parameters, usage of Parameters in filter sessions, calculated fields and in reference line. The candidate will also be provided with Hands-on Exercises which will enhance the knowledge of the topics learned and its working
- Creating parameters
- Parameters in calculations
- Using parameters with filters
- Column selection parameters
- Chart selection parameters
- How to use parameters in the filter session
- How to use parameters in calculated fields
- How to use parameters in the reference line
- Quiz Module 9
Module 10: Charts and Graphs
In this topic the candidate will learn about Charts and Graphs, such as, Dual axes graphs, Histograms, Single and dual axes, Box plot, Charts; motion, pie , bar etc., Maps: tree and heat maps, Market Based Analysis and text and highlighted table. The candidate will also be provided with Hands-on Exercises which will enhance the knowledge of the topics learned and its working
- Dual axis graphs
- Histograms
- Single and dual axis
- Box plot
- Charts: motion, Pareto, funnel, pie, bar, line, bubble, bullet, scatter, and waterfall charts
- Maps: tree and heat maps
- Market basket analysis (MBA)
- Using Show me
- Quiz Module 10
Module 11: Dashboards and Stories
In this module the candidate will learn about Dashboard, which includes topics such as, building and formatting, best practices for making creative dashboard, creating stories, updating the story points, Adding annotations with descriptions, Highlight actions, URL actions, types of Joins, Tableau field types, Saving as well as publishing data source, difference between Live and Extract connection and various file types. The candidate will also be provided with Hands-on Exercises which will enhance the knowledge of the topics learned and its working.
- Building and formatting a dashboard using size, objects, views, filters, and legends
- Best practices for making creative as well as interactive dashboards using the actions
- Creating stories, including the intro of story points
- Creating as well as updating the story points
- Adding catchy visuals in stories
- Adding annotations with descriptions; dashboards and stories
- What is a dashboard?
- Highlight actions, URL actions, and filter actions
- Selecting and clearing values
- Best practices to create dashboards
- Dashboard examples; using Tableau workspace and Tableau interface
- Learning about Tableau joins
- Types of joins
- Tableau field types
- Saving as well as publishing data source
- Live vs extract connection
- Various file types
- Quiz Module 11
Module 12: Tableau Prep
In this module the candidate will learn about Tableau prep, how Tableau prep helps combine join, sharp, and clean data for analysis, creation of smart examples with Tableau prep, and how data preparation is made simple and accessible, integrating Tableau prep with Tableau analytical workflow and a clear understanding the seamless process from data preparation to analysis with Tableau prep.
- Introduction to Tableau Prep
- How Tableau Prep helps quickly combine join, shape, and clean data for analysis
- Creation of smart examples with Tableau Prep
- Getting deeper insights into the data with great visual experience
- Making data preparation simpler and accessible
- Integrating Tableau Prep with Tableau analytical workflow
- Understanding the seamless process from data preparation to analysis with Tableau Prep
- Quiz Module 12
Module 13: Integration of Tableau with R and Hadoop
In this module the candidate will learn about Tableau with R and Hadoop, which includes Application and use cases of R, Deploying R on the Tableau platform, R functions in Tableau and The integration of Tableau with Hadoop. The candidate will also be provided with Hands-on Exercises which will enhance the knowledge of the topics learned and its working
- Introduction to R language
- Applications and use cases of R
- Deploying R on the Tableau platform
- Learning R functions in Tableau
- The integration of Tableau with Hadoop
- Quiz Module 13
Module 14: Complimentary Module 1: Soft Skills Development
- Business Communication
- Preparation for the Interview
- Presentation Skills
Module 15: Complimentary Module 2: Resume Writing
- Resume Writing

Get to know more about Data Visualization Course

“Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.” – Tableau.com

As the age of Big Data has kicked-in in a big way, data visualization tools and technologies have gained vital importance as they assist in analyzing massive amounts of information and make data-driven decisions. Data visualization helps to make sense of the trillions of rows of data generated every day by curating it into a form easier to understand, highlighting the trends and outliers.

Because of its immense advantages data visualization has come out as quintessential for every professional industry, be it finance, marketing, history, consumer goods, service industries, education, sports, and many more.

What is Tableau?+

Tableau is a powerful and fastest growing data visualization tool used in the Business Intelligence Industry that assists in simplifying raw data into an easily understandable format. It is the most powerful, secure and flexible end-to-end analytics platform that works advantageously from connection to collaboration.

The biggest draw towards Tableau is that Data analysis is accomplished very fast and the visualizations created are in the form of dashboards and worksheets, easily understood by all.

Data Visualization Course+

Today the demand to learn Tableau and to be able to work on the concepts of data visualization with a firm understanding of the Tableau architecture, is great among all professionals. The added benefit is that it doesn't require any specific qualification or any kind of programming skills to operate, allowing even a non-technical user to create a customized dashboard.

Henry Harvin, a decade old career and competency development organization, today is a leader in training and skill development with a focus on value creation. In continuation with their effort of providing skill-centric training through various courses, it has introduced Tableau Training Course- a 100% practical training.

As all organizations, companies and businesses, whether big or small, need professionals who are well trained in Tableau and Data Visualization, thus, creating a high demand for such professionals. Looking at new job opportunities or eager to acquire new skill sets, individuals from all industries lined up for Tableau Training.

The high demand of the course prompted Henry Harvin to introduce Tableau Online Course, benefitting thousands of candidates from far and wide. Touching on all crucial features of Tableau this course empowers the learners to explore, experiment with, fix, prepare, and present data smoothly, swiftly, and beautifully.

With time they have also added many more destinations for classroom training too, benefitting thousands of candidates with their exclusive Data Visualization Specialist Certification.

Salient Features of Tableau Course+

Keeping the latest pedagogical theories in mind, Henry Harvin lays utmost stress on course content and its practical execution and for this the curriculum of Tableau Online Training Course is carefully planned by domain experts- touching all important factors related to Tableau.

As impactful execution of the course holds great importance in its success, Henry Harvin ensures that its trainers are all highly experienced, seasoned industry experts with 10+ years of experience, capable of making learning easy and interesting for all. Keeping parity in both online and offline courses, it deploys equally talented industry professionals to impart training in this Tableau Training.

Much of the credit for the out and out success of this course can be attributed to the immaculate planning of the curriculum. The course content comprises 4 modules, each working on an independent learning theme- ensuring complete practical understanding of Tableau.

Module 1 of the course primarily covers Data Visualization:

Introduction to Visualization
Introduction to Tableau

Module 2 discusses in detail Tableau Basics:

Understand Data Import, Connect to Other Sources, Marks, Filters, Sheets
Create Basic Charts, Dashboards

Module 3 lays emphasis on fully functional Dashboard Solution:

Understand Data, KPIs
Create Dashboard from Scratch, Relevant Charts & Dashboards, Presentation using Stories, Publish Dashboards

Module 4 imparts a hands-on experience in Tableau Advanced:

Understand Multiple Data Sources, Maps, Pages, Stories
Create Timelines, Stories

The duration of this Data Visualization Course is 24 hours of classroom training with additional learning benefits of 24 hours of live Online Training Sessions and 50 hours of E-Learning access.

The sessions are interactive, creating scope for raising doubts, satisfying curiosity, and getting 100% practical training. Getting opportunity to work on projects, simulations, case studies, allows each candidate to stay ahead and beat the competition.

The curriculum and the trainer remains the same for both classroom courses and live online class, giving the same advantage to all candidates who enroll with Henry Harvin for Tableau Training Certification.

Distinct Learning Benefits of Tableau Certification Course

Going by your convenience enroll for on-campus Tableau Course or learn Tableau Online from the most acclaimed institute- Henry Harvin and see your career grow. Earning the certification of 'Certified Data Visualization Specialist' (CDVS) will be most rewarding as Henry Harvin’s name will authenticate your capabilities as a specialist.

By gaining mastery in Data Visualization using Tableau you will become adept in creating powerful Storyline Presentation, developing intrinsic understanding of how Table Calculations work and easily implementing Advanced Mapping Techniques. Armed with all these skill sets you will become eligible for thousands of untapped high-paying jobs in this field.

Peep Into The Future+

There is no dearth of opportunities for individuals equipped with practical understanding of most in-demand skill- Tableau and Data Visualization and you:

Become Eligible for Business Intelligence (BI) jobs
Open doors to Job Opportunities Abroad
Get Promoted in current profile
Distinguish your profile from peers
Upgrade biz card with Hallmark of Global Credential-CDVS Professional added next to your name
Improve CV & Linkedin Profile with professional development
Support a Startup with high ROI