Understand what is meant by the term ‘visualisation’ within the context of data and information, Interpret and create a range of visual representations of data and information, Select an appropriate visualisation model to represent a given data set.

• What is Data?
• How Big is Data?
• Big Data is here and we need to know what it says
• How to Visualise Big Data?
• Why is Data Visualization Important now?
• History of Data Visualization?
• Why is data visualization important in all Sectors
• Advantages and benefits of good data visualization
• Business Intelligence Tools
• Tips to create visualizations
• Data visualizations at work
• BI Tool – Comparison

Learn about Tableau as a dashboard, Why to learn Tableau, how Tableau can help you build a career in Data Visualisation, its Tools and Benefits. How to start a career and skills for Tableau visualization.

• Introduction to Tableau
• Why Tableau?
• How does Tableau help?
• Tableau Market?
• Features of Tableau
• What makes it better versus other BI tools?
• Explore Tableau Architecture / User Interface
• Tableau Installation
• How Tableau can build your Career?
• Who is Tableau Developer?
• Tableau developer Roles and Responsibilities
• Skills Required to become Tableau Developer
• Salary Offered to Tableau Developer
• Career Opportunities
• Career Pathing
• Training Learning Path
• Training Cost / Talk about Refund Policy
• Why Us?
• Raw data Availability Online for Visualization
• Groups and Forum to Join
• What all will you get in this training?

Build a simple data flow, Group and Replace feature, Pivoting data, Perform Unions, Joins and Data Blending using Tableau.

• Structure Data for Analysis
  • What Makes a Good Data Set?
  • Field Types: Dimensions and Measures, Blue and Green
  • Data Types
  • Tableau’s Order of Operations
  • Data Aggregation in Tableau
  • Sign in to Tableau Online
• Connect to Your Data
  • Supported Connector
  • How to Connect Data Source
• Set Up Data Source
  • What is a row?
• What is a field or Column?
• Structure Data for Analysis – Data Structure, Categorizing fields, Data types, Pivot and Unpivot data, Normalization
• Tidy Data
• Union Your Data
• Data Sources – Edit, Refresh, Replace, Export, Upgrade, Close

Learn to plot various advanced charts in Tableau Desktop. What Chart is Right for You?, Visual Vocabulary – Overview

• Deviation – Diverging Bar, Diverging Stacked Bar, Spine Chart, Surplus/Deficit Filled Line
• Correlation – Scatterplot, Line + Column, Connected Scatterplot, Bubble, XY Heatmap
• Ranking – Ordered Bar, Ordered Column, Ordered Proportional Symbol, Dot Strip Plot, Slope, Lollipop Chart
• Distribution – Histogram, Boxplot, Violin Plot, Population Pyramid, Dot Strip Plot, Dot Plot, Barcode Plot, Cumulative Curve
• Change over TimeLine, Column, Line + Column, Stock Price, Slope, Area Chart, Fan Chart, Connected Scatterplot, Calendar Heatmap, Priestley Timeline, Circle Timeline, Seismogram
• Part-to-Whole – Pie Chart, Donut Chart, Treemap, Sunburst, Arc, Gridplot, Venn, Waterfall,
• Magnitude – Column, Bar, Paired Column, Paired Bar, Proportional Stacked Bar, Proportional Symbol, Isotype (pictogram), Lollipop Chart, Radar Chart, Parallel Coordinates,
• Spatial – Basic Choropleth (rate/ratio), Proportional Symbol (count/magnitude), Flow Map, Contour Map, Equalized Cartogram, Scaled Cartogram, Dot Density, Heat Map,
• Flow – Sankey, Waterfall, Chord, Network

Demonstrate Hierarchies, Data Granularity and Highlighting features in Tableau, Perform Sorting, Filtering and Grouping techniques in Tableau, Sets in Tableau.

• Create Hierarchies
• Group Data
• Create Sets
• Create Parameters
• Customize Date and Time Fields
• Highlighting
• Sorting
• Filtering
• Grouping
• Sets

Demonstrate Parameters in Calculations, Perform Data Visualization using Trend lines, Forecasting and Clustering feature in Tableau.

• Parameters
• Tooltips
• Trend lines
• Reference lines
• Forecasting
• Clustering
• Using the Formatting pane to work with the menu, fonts, alignments, settings, etc.
• Formatting data using labels and tooltips
• Editing axes and annotations
• K-means cluster analysis
• Trend and reference lines
• Visual analytics in Tableau
• Forecasting, confidence interval, reference lines & bands

Understand basic calculations such as Numeric, String Manipulation, Date Function, Logical and Aggregate. You will also get introduced to Table Calculations and Level Of Detail (LOD) expressions.

• Types of Calculations
• Built-in Functions (Number, String, Date, Logical & Aggregate)
• Operators and Syntax Conventions
• Table Calculations
• Level Of Detail (LOD) Calculations
• Add a Calculated Column to a View
• Calculate Z-scores
• Visualize Key Progress Indicators
• Create a Population Pyramid
• Create Co-Occurrence Visualization Using a Parameter and Set
• Visualize Benford’s Law
• Create Bins from a Continuous Measure

Create a Map and assign Geographic locations to the fields, Demonstrate how to create a Map from a Spatial file, Learn how to create a Filled Map, Symbol Map, and a Density Map, Perform Custom Geocoding in Maps.

• Introduction to Geographic Visualizations
• Manually assigning Geographical Locations
• Types of Maps
• Spatial Files
• Custom Geocoding
• Polygon Maps
• Web Map Services
• Background Images

Demonstrate how to add objects to a Dashboard, Build a simple Dashboard (using Layouts and Formatting features), Create Interactive Dashboards using actions, Learn to create a Dashboard for devices using Device Designer,

• Introduction to Dashboards
• The Dashboard Interface
• Dashboard Objects
• Building a Dashboard
• Dashboard Layouts and Formatting
• Interactive Dashboards with actions
• Designing Dashboards for devices
• What is a dashboard?
• Highlight actions, URL actions, and filter actions
• Selecting and clearing values
• Best practices to create dashboards
• Dashboard examples using Tableau workspace and Tableau interface
• Saving and publishing a data source
• Live vs extract connection
• Various file types
• Publish Data Sources and Workbooks

Demonstrate how to add objects to a Dashboard, Build a simple Dashboard (using Layouts and Formatting features), Create Interactive Dashboards using actions, Learn to create a Dashboard for devices using Device Designer.

• Story Points
• Building and formatting a dashboard using size, objects, views, filters, and legends
• Best practices for making creative and interactive dashboards using actions
  • Creating stories, including the intro of story points
  • Creating and updating the story points
  • Adding catchy visuals in stories
  • Adding annotations with descriptions; dashboards and stories

Installing R and establishing a connection with R within Tableau

• Introduction to the R language
• Applications and use cases of R
• Deploying R on the Tableau platform
• Learning R functions in Tableau
• The integration of Tableau with Hadoop

Learn effective ways of designing Dashboards with minimum time investment. Hands-on experience on various tips and tricks with Tableau.

• Tableau Tips and Tricks
• Choosing the right type of Chart
• Format Style
• Data Visualization best practices
• Prepare for Tableau Interview

Publishing Workbooks, Interacting with Content, Managing permissions on Tableau Online, Data security using User-based and Row-level filters

• Publishing Workbooks to Tableau Online
• Interacting with Content on Tableau Online
• Data Management through Tableau Catalogue
• AI-Powered features in Tableau Online (Ask Data and Explain Data)
• Understand Scheduling
• Managing Permissions on Tableau Online
• Data Security with Filters in Tableau Online