Data Visualization Training

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About Data Visualization Certification Training

Data Visualization is an easy way to assist the human memory and enhance decision making. There are various tools which will cater to the needs of viewing humongous data to the tune of Peta bytes (1000^5) & Zeta bytes (1000^7). Number crunching will huge data is extremely challenging and Tableau is one such software which will be your friend in addressing challenging business problems.

As part of this data visualization training you will learn about various pitfalls which even a seasoned analyst must know. You will learn on how to visually represent a social network and perform social network analysis. Tableau, which is considered market leader in visualization, will be taught to carry out the data representation in a meaningful manner. You will learn on how to use minimum graphics to showcase maximum business value.

Tools You Will Learn…

  • Tableau
  • NodeXL – Open source MS Excel plugin

Topics You Will Learn…

Tableau 2018 focused

  • What is Data Visualization?
    • Why Visualization came into Picture?
    • Importance of Visualizing Data
    • Poor Visualizations Vs. Perfect Visualizations
    • Principles of Visualizations
    • Tufte’s Graphical Integrity Rule
    • Tufte’s Principles for Analytical Design
    • Visual Rhetoric
    • Goal of Data Visualization
  • Tableau – Data Visualization Tool
    • Introduction to Tableau
    • What is Tableau? Different Products and their functioning
    • Architecture Of Tableau
  • Pivot Tables
  • Split Tables
  • Hiding
  • Rename and Aliases
  • Data Interpretation
  • Tableau User Interface
    • Understanding about Data Types and Visual Cues
  • Basic Chart types
    • Text Tables, Highlight Tables, Heat Map
    • Pie Chart, Tree Chart
    • Bar Charts, Circle Charts
  • Intermediate Chart
    • Time Series Charts
    • Time Series Hands-On
    • Dual Lines
    • Dual Combination
  • Advanced Charts
    • Bullet Chart
    • Scatter Plot
      • Introduction to Correlation Analysis
      • Introduction to Regression Analysis
      • Trendlines
    • Histograms
      • Bin Sizes in Tableau
    • Box Plot
    • Pareto Chart
    • Donut Chart, Word Cloud
    • Forecasting ( Predictive Analysis)
  • Maps in Tableau
    • Types of Maps in Tableau
    • Polygon Maps
    • Connecting with WMS Server
    • Custom Geo coding
    • Data Layers
    • Radial & Lasso Selection
  • Adding Background Image
    • How to get Background Image and highlight the data on it
  • Creating Data Extracts
  • Filters and their working at different levels
    • Usage of Filters on at Extract and Data Source level
    • Worksheet level filters
    • Context, Dimension Measures Filters
  • Data Connectivity in-depth understanding
    • Joins
    • Unions
    • Data Blending
    • Cross Database Joins
  • Sets
  • Groups
  • Parameters
  • Creating Calculated Fields
    • Logical Functions
    • Case-If Function
    • ZN Function
    • Else-If Function
    • Ad-Hoc Calculations
    • Quick Table Calculations
    • Level of Detail (LoD)
      • Fixed LoD
      • Include LoD
      • Exclude LoD
  • Responsive Tool Tips
  • Dashboards
    • Actions at Sheet level and Dashboard level
  • Story
  • Connecting Tableau with Tableau Server
    • Publishing our Workbooks in Tableau Server
    • Publishing dataset on to Tableau Server
    • Setting Permissions on Tableau Server
  • Connecting Tableau with R
    • What is R?
    • How to integrate Tableau with R?
  • Tableau Prep

NodeXL for Network Analysis Visualization

  • 3 important principles of Visualization
  • Lie Factor
  • Using consistent scales
  • Presenting data in the context
  • Data-ink ratio
  • Turfte’s Graphical Integrity Rules
  • Tufte’s Principles for Analytical Design
  • Various chart junks & how to avoid chart junks
  • Dashboards – Good, Bad & Ugly
  • Affordance Theory
    • Network theory – using NodeXL
    • Degree (In-degree, Out-degree)
    • Centrality (Closeness, Betweeness, Eigenvector)
    • Grouping / Clustering
    • Facebook network hands-on
  • Big data visualization problems

Data Visualization Course Introduction Video

Watch our sample e-learning video recorded by industry’s best trainers with extensive subject knowledge expertise and who are considered to be the best trainers of the industry. All the participants will be provided access to our state-of-the-art Learning management system (LMS) at, where one can access end to end course videos at your own pace & convenience sitting back at your home. Videos can be accessed from your desktop, mobile, tablet, etc. Switch back and forth as you choose


  • Data visualisation is all about telling a story using visual graphics/images which cannot be told by data alone. Data visualisation should not be mistaken for beautiful aesthetic visuals, however it is about solving business problems.
  • Though there are umpteen number of data visualisation tools which follow the data visualisation principles. Tableau holds No.1 position in the leaders quadrant for data visualisation. Hence data visualisation training offered by ExcelR is exclusively on Tableau Desktop.
  • The detailed course outline is provided on the website. The training covers 30 hours of concepts. Participants will also be trained on NodeXL which is majorly used for Network analysis.
  • Yes, data visualisation is mandatory for all data scientists because they are expected to present the products / solutions to the clients. There are also jobs on data visualisation alone & Tableau alone.
  • Our trainers have 15+ years of experience in the field of their expertise from prestigious colleges such as IIT, ISB, IIM, etc. Also the training content which ExcelR provides is incomparable with any other training institute. We provide Tableau Server training along with Tableau Desktop training which makes your profile complete.



Excellent ,Trainer has explained the topic with real time example very well. He made us to be active in the class using his teaching style

Siripurapu Pradeep,Manufacturing Engineer, Textron



Good, able to understand the process areas, techniques to remember

Raveendra Kuma, Tata Consultancy Services


Modes of Training

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