Key Features: 30 Hours Instructor-led Sessions Real-life Case Studies
20 Hours Assignments Lifetime Access 24 x 7 Expert Support
Certification About The Course: Trainerkart’s Data Visualization
using Tableau 10 Certification Training will make you an expert to
utilize Tableau to create and distribute interactive and shareable
dashboards. Learn about Data blending, Charts, Graphs, LOD
expressions, Tableau Desktop, Tableau Public, Tableau Reader, and
integrate Tableau with R. 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 aspiring for 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, goal, objectives, methodology, material,
and agenda for the course Discuss the basic of Data Visualization Get
a brief idea about Tableau, establish 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
“highlighting” feature. Objectives: Manage extracts and metadata
(by creating hierarchy and folders) Describe what is Visual Analytics,
why to use it, and it’s various scopes Explain aggregating and
disaggregating data and how to implement data granularity using marks
card on aggregated data Describe what is highlighting, with the help
of a use-case Illustrate basic graphs including bar graph, line graph,
pie chart, dual axis graph, and area graph 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 into various filtering
techniques such as Parametrized filtering, Quick Filter, Context
Filter. Learn about various filtering option available with the help
of use case and different scenarios. Illustrate grouping using
data-window, visual grouping, and Calculated Grouping (Static and
Dynamic). Illustrate some more graphical visualization including Heat
Map, 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,
Calculated Grouping (Static and dynamic). Visual Analytics in depth II
Goal: This module presents to you Visual analytics in a more granular
manner thereby letting you to dive deep into the content. It covers
various advanced techniques of analyzing data including, forecasting,
trend lines, reference lines, clustering, parameterized 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 Forecasting
problem as a use-case Discuss the basic concept of clustering in
Tableau Add Trend lines and reference line to your visualization
Discuss about Parameter in depth using Sets and Filter Topics: Sets
Forecasting Clustering Trend Lines. Reference Lines. Parameters Hands
On: Create sets using marks card, 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 Dashboard and its UI. Build a dashboard
by adding sheets and object into it Modify the view and layout. Edit
your dashboard, 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
Dashboard for Devices. Dashboard Interaction – Using Action.
Introduction to Story Point. Hands On: Creating Dashboard and learning
its UI component. Changing the layout of the dashboard. Using Device
Designer to create dashboard for devices. Create an interactive
dashboard using actions (Filter, Highlight, URL). Creating story with
dashboard. Mapping Goal: This module helps you in understanding
mapping in detail, editing unrecognized and ambiguous location, and
creating customized geocoding. Learn about polygon map and Web Mapping
Service, and finally add background images with self-generated
coordinates. Objectives: Map the coordinates on the map, plot
geographic data, and use 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 saving it. Add a background image and 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, Street View using the
layered view. Editing Unrecognized and ambiguous location Custom
Geocoding. Creating a custom territory, building a polygon map.
Establishing connection with the WMS Server a WMS background map and
saving it. Adding a background image and generate 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 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 concept 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 Tableau Server. Topics: Introduction
to Big Data Introduction to Hadoop Introduction to R Integration among
R and Hadoop Calculating measure using R Integrating Tableau with R
Integrated Visualization using Tableau Hands On: Installing Rserve
package in R Integrating Tableau and R Publishing your workbook on
Tableau Server. Benefits of Tableau Training Course: Verizon,
Facebook, Dell, General Motors, KPMG, Bank of America & other 35,000
MNCs worldwide use Tableau across industries Average salary of a
Tableau professional is $100,000 ( Indeed.com ) Tableau is a Leader in
2017 Gartner Magic Quadrant for Business Intelligence & Analytics
Platforms ( 5th Consecutive Year ) Why Trainerkart Learning Solution?
Trainerkart's training is the best and value for time & money
invested. We stand out because our customers- Get trained at the best
price compared to other training providers. Get trained by the best
trainer in the industry. Get accesses to course specific learning
videos. Get 100% Money back guarantee*. Training Fee: Standard Fee:
Booking within 30 days of training but 10 days prior to the start
date. For more details please contact us.
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20/03/2019 Last update