Tableau Software is an American interactive data visualization software focused on business intelligence.

As the market-leading choice for modern business intelligence, our analytics platform makes it easier for people to explore and manage data, and faster to discover and share insights that can change businesses and the world.

Everything we do is driven by our mission to help people see and understand data, so our products are designed to put the user first—whether they’re analysts, data scientists, students, teachers, executives, or business users. Tableau is the most powerful, secure, and flexible end-to-end analytics platform from connection through collaboration.

This training includes making machine learning, statistics, natural language, and smart data prep more useful to augment human creativity in analysis. We not only offer a complete integrated analytics platform but also proven enablement resources to help customers deploy and scale a data-driven culture that drives resilience and value through powerful outcomes.

Today, organizations everywhere—from non-profits to global enterprises, and across all industries and departments—are empowering their people with Tableau to drive change with data.

Key Features:

30 hours of classroom/online instructor-led sessions
Real-life case studies
20 hours’ assignments
Lifetime access
24 x 7 expert support
Completion certification

Benefits of Tableau Training:

Verizon, Facebook, Dell, General Motors, KPMG, Bank of America & other 35,000 MNCs worldwide use Tableau across industries
The average salary of a Tableau professional is $100,000 (Indeed.com)
Tableau is a Leader in the 2017 Gartner Magic Quadrant for Business Intelligence & Analytics Platforms (5th Consecutive Year)

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 aspire to a career in the growing and demanding fields of real-time big data analytics
Business users and students who want to develop a set of core Tableau Desktop proficiency
Professionals 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, goals, objectives, methodology, material, and agenda for the course
Discuss the basics of Data Visualization
Get a brief idea about Tableau, establish a 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 the “highlighting” feature.

Objectives:

Manage extracts and metadata (by creating a hierarchy and folders)
Describe what is Visual Analytics, why to use it, and its various scopes
Explain aggregating and disaggregating data and how to implement data granularity using marks card on aggregated data
Describe what is highlighted, with the help of a use-case
Illustrate basic graphs including bar graphs, line graphs, pie charts, dual-axis graphs, and area graphs with dual-axis

Topics:

Managing Extracts
Managing Metadata
Visual Analytics
Data Granularity using Marks Card
Highlighting
Introduction to basic graphs

Hands-On:

Creating Extracts, Hierarchy, Folders
All the features of Marks Card Shelve with use case provided
Power of Highlighting in the visualization using the Use-case
How to create basic graphs in Tableau10.x

Visual Analytics in Depth I

Goal: This module presents to you the granular content of Visual analytics, covering various techniques to perform sorting, filtering, and grouping on the dataset.

Objectives:

Perform sorting techniques including quicksort, using measures, using header and legend, and sorting using pill with the help of a use case.
Master yourself in various filtering techniques such as Parametrized filtering, Quick Filter, and Context Filter. Learn about various filtering options available with the help of use cases and different scenarios.
Illustrate grouping using data window, visual grouping, and Calculated Grouping (Static and Dynamic).
Illustrate more graphical visualization including Heat Maps, Circle Plot, Scatter Plot, and Tree Maps.

Topics:

Sorting.
Filtering.
Grouping
Graphical Visualization

Hands-On:

Quick Sort, Sorting using measure, Sorting using header and legends, sorting using pill (use-case).
Filtering Use cases covering different options (General, Wildcard, Conditional).
Interactive Filter, Quick Filter, Context Filter.
Grouping using Data Window, Visual Grouping, and Calculated Grouping (Static and Dynamic).

Visual Analytics in Depth II

Goal: This module presents you with Visual analytics in a more granular manner thereby letting you dive deep into the content. It covers various advanced techniques of analyzing data including, forecasting, trend lines, reference lines, clustering, parametrized concepts, and creating sets.

Objectives:

Explain the basic concepts of sets followed by Creating sets using Marks Card, computation sets, and combined sets
Describe the concepts of forecasting with the help of a Forecasting problem as a use-case
Discuss the basic concept of clustering in Tableau
Add Trend lines and reference lines to your visualization
Discuss parameters in depth using Sets and Filter

Topics:

Sets
Forecasting
Clustering
Trend Lines.
Reference Lines.
Parameters

Hands-On:

Create sets using marks cards, Computation sets, and Combined sets
Forecasting using Precise Range
Methods of clustering
Adding trend line and reference line (along with various options available for them)
Parameter using sets and filter

Dashboard and Stories

Goal: Learn all about Dashboards and Stories in Tableau.

Objectives:

Describe the basic concepts of the Dashboard and its UI.
Build a dashboard by adding sheets and objects to it
Modify the view and layout.
Edit your dashboard, and how it should appear on phones or tablets.
Create an interactive dashboard using actions (filter, highlighting, URL).
Create stories for your Visualization and Dashboards.

Topics:

Introduction to Dashboard.
Creating a Dashboard Layout.
Designing a Dashboard for Devices.
Dashboard Interaction – Using Action.
Introduction to Story Point.

Hands-On:

Creating a Dashboard and learning its UI component.
Changing the layout of the dashboard.
Using Device Designer to create a dashboard for devices.
Create an interactive dashboard using actions (Filter, Highlight, UR).
Creating a story with a dashboard.

Mapping

Goal: This module helps you understand mapping in detail, editing unrecognized and ambiguous locations, and creating customized geocoding. Learn about polygon maps and Web Mapping Services, and finally add background images with self-generated coordinates.

Objectives:

Map the coordinates on the map, plot geographic data, and use a layered view to get the street view of the area.
Edit the ambiguous and unrecognized location plotted on the map.
Customize territory in a polygon map.
Connect to the WMS Server, use a WMS background map, and save it.
Add a background image generate its coordinate and plot the points.

Topics:

Introduction to Maps.
Editing Unrecognized Locations.
Custom Geocoding.
Polygon Maps.
Web Mapping Services.
Background Images.

Hands-On:

Plot the coordinate points on the map, plotting the geographic data and street View using the layered view.
Editing Unrecognized and ambiguous location
Custom Geocoding.
Creating a custom territory, and building a polygon map.
Establishing a connection with the WMS Server a WMS background map and saving it.
Adding a background image generates coordinates and finally plotting points.

Calculation

Goal: This module will help you in creating basic calculations including string manipulation, basic arithmetic calculations, date math, logic statements, and quick table calculations. Along with this, you will be also introduced to LOD expressions with the help of use cases.

Objectives:

Perform Calculations using various types of functions such as Number, String, Date, Logical, and aggregate.
In addition, you will get to know about Quick Table Calculation.
Cover the following LOD expressions – Fixed, Included, and Excluded.

Topics:

Introduction to Calculation: Number Functions, String Functions, Date Functions, Logical Functions, Aggregate Functions.
Introduction to Table Calculation.
Introduction to LOD expression: Fixed LOD, Included LOD, Excluded LOD

Hands-On:

All Functions (Number, String, Date, Logical, Aggregate)
Table Calculation.
LOD expressions.

LOD Problem Sets & Hands-on

Goal: This module will explain the scenarios where you can implement LOD expressions. This is showcased with the help of a set of problems.

Objectives:

Tackle complex scenarios by using LOD expressions.

Hands-On:

Use Case I – Count Customer by Order.
Use Case II – Profit per Business Day.
Use Case III – Comparative Sales.
Use Case IV – Profit vs Target
Use Case V – Finding the second order date.
Use Case VI – Cohort Analysis

Charts

Goal: Plot various types of Charts using Tableau 10 and have extensive hands-on on industry use cases.

Topics:

Box and Whisker’s Plots
Gantt Charts
Waterfall Charts
Pareto Charts
Control Charts
Funnel Charts

Hands-On:

Extensive hands-on on the above topics

Integrating Tableau with R and Hadoop

Goal: This module introduces you to the concepts of Big Data, Hadoop, and R. You discuss the integration between Tableau and R and finally publish your workbook on Tableau Server.

Objectives:

You will know the basics of Big Data, Hadoop, and R.
You will discuss the integration between Hadoop and R and will integrate R with Tableau.
In addition, you will get to publish your workbook on the Tableau Server.

Topics:

Introduction to Big Data
Introduction to Hadoop
Introduction to R
Integration among R and Hadoop
Calculating measures using R
Integrating Tableau with R
Integrated Visualization using Tableau

Hands-On:

Installing the R-serve package in R
Integrating Tableau and R
Publishing your workbook on Tableau Server.

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