Tableau

Data Visualization is an art of presenting the data in a manner that even a non-analyst can understand it. A perfect blend of aesthetic elements like colors, dimensions, labels can create visual masterpieces, hence revealing surprising business insights which in turn helps businesses to make informed decisions.

Tableau is one of the fastest evolving Business Intelligence (BI) and data visualization tool. It is very fast to deploy, easy to learn and very intuitive to use for a customer.

Overview of Tableau:

• 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 & Introduction to data source concepts
• Understanding the Tableau workspace
• Dimensions and Measures
• Data Types & Default Properties
• Building basic views
• Saving and Sharing your work-overview
• Building Views (Reports) – Basics
• Date Aggregations and Date parts
• Cross tab & Tabular charts
• Totals & Subtotals
• Bar Charts & Stacked Bars
• Line Graphs with Date & Without Date
• Tree maps
• Scatter Plots
• Individual Axes, Blended Axes, Dual Axes & Combination chart
• Parts of Views
• Sorting
• Trend lines
• Reference Lines
• Forecasting
• Filters
• Context filters
• Sets o In/Out Sets o
• Combined Sets
• Grouping
• Bins/Histograms
• Drilling up/down – drill through o Hierarchies
• Edit axis
• Tableau: Building Views (Reports)
•  Advanced Maps
• Explain latitude and longitude
• Default location/Edit locations
• Symbol Map & Filled
• Map
• Custom Geo Coding
• Tableau: Calculated
• Fields
• Working with aggregate versus disaggregate data
• Explain – #Number of Rows
• Basic Functions (String, Date, Numbers etc)
• Usage of Logical conditions