This document outlines the course content for a Tableau certification training program. The 13-module course covers topics such as Tableau architecture, dashboards, data visualization, data blending, mapping, calculations, parameters, and integrating Tableau with R. Students will learn various chart types, data preparation techniques, and how to build interactive dashboards and stories. Hands-on exercises are included to help students practice the skills learned. There are no prerequisites for taking the course.

1. Tableau Course Content
What will you learn in this Tableau training?
These Tableau training courses include following topics:
1. Introduction to its architecture
2. Working with its dashboard
3. Implementing data blending and aggregation
4. Data visualization and real-time analytics
5. Generated fields and special fields
6. Connecting Tableau with R
7. Deploying R scripts
8. Connections for organizing data
9. Tableau graphs, reports, and calculations
What are the prerequisites for Tableau course?
There are no prerequisites for taking up this Tableau certification training.
Course content
Module 1 - Introduction to Data Visualization and The Power of Tableau
1.1 What is data visualization?
1.2 Comparison and benefits against reading raw numbers
1.3 Real use cases from various business domains
1.4 Some quick and powerful examples using Tableau without going into the technical details
of Tableau
1.5 Installing Tableau
1.6 Tableau interface
Module 2 - Architecture of Tableau
2.1 Architecture of Tableau
2.2 Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
2.3 Tableau field types
2.4 Saving and publishing a data source
2.5 Live vs extract connection
2.6 Various file types
2.7 The ways to share and export the work done in Tableau

2. Module 3 - Charts and Graphs
3.1 Basic Charts
 Histograms
 Box plot
 Motion
 Pie
 Bar
 Line
 Bubble
 Bullet
 Scatter
 Tree
 Heat maps
 Maps
 Text table
 Highlighted table
3.2 Dual axes graphs
 Pareto
 funnel
 Waterfall charts
 Market basket analysis (MBA)
Hands-on Exercise:
1. Plot a histogram, tree map, heat map, funnel chart, and more using the given dataset
2. Perform market basket analysis (MBA) on the same dataset
Module 4 - Working with Metadata and Data Blending
4.1 Connecting to Data Source
4.2 Tableau data types
4.3 Connection to Excel
4.4 Cubes and PDFs
4.5 Management of metadata and extracts
4.6 Data preparation
4.7 Joins (Left, Right, Inner, and Outer) and Union
4.8 Dealing with NULL values, cross-database joining, data extraction, data blending, refresh

3. extraction, incremental extraction, how to build extract, etc.
4.9 Advanced joins
 cross-database joining
 data blending
Hands-on Exercise:
1. Connect to Excel sheet to import data
2. Use metadata and extracts
3. Manage NULL values
4. Clean up data before using
5. Perform the join techniques
6. Execute data blending from multiple sources
Module 5 - Advanced Data Manipulations
5.1 Mark and highlight
5.2 Groups
5.3 Sets (creating and editing sets, IN/OUT)
 Constant sets
 Computed sets
 Combined sets
5.4 Bins
5.5 Hierarchies
5.6 Folders
5.7 Sorting and Types
5.8 Using the Formatting pane to work with the menu, fonts, alignments, settings, etc.
5.9 Editing axes and annotations
Hands-on Exercise:
1. Use marks to create and edit sets
2. Highlight the desired items
3. Make Groups
4. Apply sorting on results
5. Make hierarchies among the created sets

4. Module 6 - Working with Filters
6.1 Filters (addition and removal)
6.2 Filtering continuous dates, dimensions, and measures
6.3 Filtering in Tableau
6.4 Types of filters
6.5 Filtering the order of operations
Hands-on Exercise:
1. Use the data set by date/dimensions/measures to add a filter
2. Use interactive filter to view the data
3. Customize/remove filters to view the result
Module 7 - Organizing Data and Visual Analytics
7.1 K-means cluster analysis
7.2 Trend and reference lines
7.3 Visual analytics in Tableau
7.4 Forecasting, confidence interval, reference lines, and bands
Hands-on Exercise:
1. Apply labels and tooltips to graphs, annotations, edit axes’ attributes
2. Set the reference line
3. Perform k-means cluster analysis on the given dataset
Module 8 - Working with Mapping
8.1 Working on coordinate points
8.2 Plotting longitude and latitude
8.3 Editing unrecognized locations
8.4 Customizing geocoding, polygon maps, WMS: web mapping services
8.5 Working on the background image, including add image
8.6 Plotting points on images and generating coordinates from them
8.7 Map visualization, custom territories
8.8 How to create map projects in Tableau
8.9 Creating dual axes maps, and editing locations
Hands-on Exercise:
1. Plot longitude and latitude on a geo map
2. Edit locations on the geo map
3. Custom geocoding

5. 4. Use images of the map and plot points
5. Find coordinates
6. Create a polygon map
7. Use WMS
Module 9 - Working with Calculations and Expressions
9.1 Calculation syntax and functions in Tableau
9.2 Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number
9.3 Levels of details: fixed level, lower level, and higher level
 LOD expressions, including concept andsyntax
 Nested LOD expressions
 Aggregation and replication with LOD expressions
9.4 Quick table calculations
9.5 The creation of calculated fields
9.6 Quick LODs
Module 10 - Working with Parameters
10.1 Creating parameters
10.2 Parameters in calculations
10.3 Using parameters with filters
10.4 Column selection parameters
10.5 Chart selection parameters
10.6 How to use parameters in the filter session
10.7 How to use parameters in the reference line
Hands-on Exercise:
1. Creating new parameters to apply on a filter
2. Passing parameters to filters to select columns
3. Passing parameters to filters to select charts
Module 11 - Dashboards and StoriesPreview
11.1 What is a dashboard?
11.2 Building and formatting a dashboard using size, objects, views, filters, and legends
11.3 Best practices for making creative as well as interactive dashboards using the actions
11.4 Creating stories
 Including the intro of story points
 Creating as well as updating the story points
 Adding catchy visuals in stories

6. 11.5 Adding annotations with descriptions; dashboards and stories
11.6 Highlight actions, URL actions, and filter actions
11.7 Selecting and clearing values
11.8 Dashboard examples using Tableau workspace and Tableau interface
Hands-on Exercise:
1. Create a Tableau dashboard view, include legends, objects, and filters
2. Make the dashboard interactive
3. Use visual effects, annotations, and descriptions to create and edit a story
Module 12 - Tableau Prep
12.1 Introduction to Tableau Prep
12.2 How Tableau Prep helps quickly combine join, shape, and clean data for analysis
12.3 Creation of smart examples with Tableau Prep
12.4 Getting deeper insights into the data with great visual experience
12.5 Making data preparation simpler and accessible
12.6 Integrating Tableau Prep with Tableau analytical workflow
Module 13 - Integration of Tableau with R
13.1 Introduction to R language
13.2 Applications and use cases of R
13.3 Learning R functions in Tableau
13.4 The integration of Tableau with Hadoop
Hands-on Exercise:
1. Deploy R on Tableau
2. Create a line graph using R interface
FAQ’’S
Why should I learn Tableau Desktop 10 from Skilupp?
Skilupp is one of the best organizations for providing the Tableau Desktop certification program.
As you know, this Business Intelligence tool has been consistently placed among the Leaders in
the Gartner Magic Quadrant for the Business Intelligence domain. In the field of data
visualization, clearly, this tool is unbeatable. Skilupp Tableau online training is the most
comprehensive course packed with real-time and highly relevant projects and assignments. Also,
the study material is specially designed by industry experts to help you learn in-detail about this
tool. Our Tableau certification course content is aligned toward clearing the Certified Desktop
Qualified Associate exam.

7. Upon clearing the Tableau Desktop specialist certification, you can apply for some of the best
jobs in top MNCs around the world at top salaries. Skilupp offers lifetime access to videos,
course materials, 24/7 support, and course material upgrading to the latest version at no extra
fee. Hence, it is clearly a one-time investment.
Can I request for a support session if I need to better understand the topics?
Skilupp is offering the 24/7 query resolution, and you can raise a ticket with the dedicated
support team at any time. You can avail of the email support for all your queries. If your query
does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Skilupp support even after the completion of the
training. We also do not put a limit on the number of tickets you can raise for query resolution
and doubt clearance.
What kind of projects are included as part of the training?
Skilupp is offering you the most updated, relevant, and high-value real-world projects as part of
the training program. This way, you can implement the learning that you have acquired in real-
world industry setup. All training comes with multiple projects that thoroughly test your skills,
learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce,
marketing, sales, networking, banking, insurance, etc. After completing the projects successfully,
your skills will be equal to 6 months of rigorous industry experience.
Does Skilupp offer job assistance?
Skilupp actively provides placement assistance to all learners who have successfully completed
the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world.
This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu
Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We
also help you with the job interview and résumé preparation as well.