Tableau Data Visualization course will cover different concepts of data visualization such as tool tips, conditional formatting, tableau integration with R, scripting, linking charts, etc. It gives those with an analytical mindset the ability to analyse data without having to navigate technical obstacles such as SQL, coding, etc.
This course will help you unlock new career opportunities and gain an edge over other analysts. Our course will help you understand architecture, dashboards, R connectivity, graphs, filters, parameters and many more. It will enable you to prepare for the Tableau Desktop 9 Qualified Associate Certification. The final project will let you create a unique Tableau portfolio to showcase your skills and understanding of the tool.

Course Duration :

30-35 hours including real time project experience

Pre Requisites

Basic Knowledge about Business Intelligence and Database.

Course Content

Ø  Tableau Introduce

·         What is Business Intelligence?

·         Tableau Role in BI.

·         Why Tableau?

·         Compare with Others Tools

Ø  Products of Tableau

·         Tableau Desktop

·         Tableau Server

·         Tableau Online

·         Tableau Public

·         Tableau Reader

Ø  Getting Started

·         What is Tableau? What does the Tableau product suite comprise of? How Does Tableau Work?

·         Tableau Architecture

·         What is My Tableau Repository?

·         Connecting to Data and introduction to data source concepts

·         Difference between Live connection & Extract

·         Dimensions and Measures

·         Data Types and properties

·         Marks Card

·         Using Show, Me!

·         Building Basic Views

·         Saving and Sharing your work-overview in Tableau Public

·         Dimensions & Measures

·         Views / Sheets

·         Building Dashboards

·         Labels

Ø  Data Connections & Data Source Filtering.

·         Data Connection and Edit Connection

·         Data Source Filtering

·         Extracts and Extract Filtering

·         Analysing

·         Hierarchies

·         Groups

·         Sets

·         Aggregations

·         Filters

·         Page Self

Ø  Calculations and Sharing

·         Calculated Fields

·         Parameters

·         Customized Calculating Fields

·         File Formats

·         Publishing into Tableau Server

·         Tableau Reader

Ø  Data Visualization with Show Me

·         What is Data Visualization

·         Types of Representations in Show Me

·         Total & Subtotal

·         Labels and Annotations

·         Sharing Workbooks

·         Publish to Reader

·         Publish to Office

·         Publish to PDF

Ø  Advanced Tableau Visualizations and Data Blending

·         Working with Time Series Data

·         Tableau mapping

·         Basic Dash boarding

·         Data Blending and Advantages

·         Forecasting

Ø  Tableau Server Admin

·         Start and Stop?

·         Monitoring regular Refresh of Reports

·         Sites, Projects

·         Groups and User Management

·         Performance Monitoring

·         Backups

·         Support and Maintenance

·         Query Optimization

Ø  Data Visualization

Ø  Analysis -1

o    Cross tab

o    Bar Charts

o    Line Graphs

o    Pie charts

o    Heat Map

o    Scatter Plots

o    Tree Map

o    Bubble Graph

o    Blended Axis

o    Dual Axis

o    Edit axis

o    Totals & Subtotals

o    Replacing data source

o    Edit Alias of fields

Ø  Analysis -2

o    Filters

o    Quick Filter

o    Context filters

o    Top/Bottom N

o    Actions

o    Highlights

o    URL

Ø  Analysis -3

o    Sorting

o    Ref lines

o    Trend lines

o    Discrete vs Continuous

o    Forecasting

o    Replace data source

o    How to call image in worksheet

Ø  Calculated Fields

o    Working with aggregate versus disaggregate data

o    Explain - #Number of Rows

o    Basic Functions (String, Date, Numbers etc.)

o    Usage of Logical conditions

Ø  Table Calculations

o    Explain scope and direction

o    % total, running calculations etc.

Ø  Building Interactive Dashboards

o    Combining multiple visualizations into a dashboard (overview)

o    Floating

o    Tiled Making your worksheet interactive by using actions.

Ø  Advance Charts
1. Histogram Chart: Histograms are one way to display the distribution of values in a field. We can create a histogram by binning the values of a measure and then creating a view based on the measure and its binned values.
2. Water Fall Chart: These charts are mainly used to identify how each and every value is contributing the total value. It is the great way to compare sequential value contribution on the total cumulative. These can be used to find Inventory and performance analysis.
3. Bump Chart: These are used to compare one dimension based on the other dimension. Bump charts are usually reports the boat race, each boat tries to move front and bump the other boats.
4. Funnel Chart: The text mark type is useful when you want to display the numbers associated with one or more dimension members. This type of view is often called a text table, a cross-tab, or a Pivot Table
5. Advanced Geo Mapping: Plotting Maps based on detailed Latitude, Longitudes, Plot Order, Polygon Maps.
Tableau Server
Tableau Server Architecture.


Ø  Installation and configuration.


Ø  Add Users to the Server


Ø  Add Users to a Site


Ø  Add Users to a Group


Ø  View, Edit and Delete Users


Ø  Change Site Roles

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