Key Features: 32 Hours of classroom training Real-life Case Studies 20
Hours Assignments Lifetime Access 24 x 7 Expert Support Certification
About The Course: Educera’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 analyticsBusiness users and students who
want to develop a set of core Tableau Desktop proficiencyProfessionals
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, 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
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 Aggregrate. 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
Educera? Educera'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 Venue: Final venue
details will be confirmed one week prior to the training start date.
For more details please contact us.
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19/06/2019 Last update