Tableau Training (Level 1 & 2)

Tableau is a data visualization and business intelligence platform that allows users to explore, analyze, and communicate data insights through interactive charts, graphs, and maps.

Overall, Tableau is a powerful and user-friendly data visualization and business intelligence platform that is widely used by professionals who need to work with data.

With the aim of equipping with this Ninja-level power. We have developed a 1-day workshop, which has been conducted at prestigious companies, including PwC, EY, ITC, Coca-Cola, Flipkart, Asian Paints, etc.

Tableau (Beginner to Advanced) | Course Outline:

• A: Introduction - Working with Tableau
• Exploring the GUI & Understanding the useful terms
• Side Bar = Data pane & Analytics pane
• Dashboard pane
• Navigating Tableau
• Cards and Shelves,
• Sheets (worksheets, dashboards, or stories)
• Pages, Filters & Marks
• Marks – Color, Size, Label, Detail, Tooltip, Path
• “Show Me” feature
• Fields – Dimensions & Measures
• Green Pills vs Blue Pills (~Fields)
• Spatial Data (Lat. & Long.)
• Making a Basic Dashboard
• Creating Bins and Distributions for Age
• B: Practice Case Study - Basics of Tableau Visualisation
• An MNC has four divisions – Bikes, Clothing, Accessories, Components. Each of these four divisions have multiple categories of products. The company sells its products globally, and has 600+ customers (retail stores). Each customer is categorised as Gold, Silver or Platinum.
• Connect Tableau to various Datasets: Excel, Txt and CSV files
• Creating a Customer Segmentation Dashboard
• Clustering In Tableau
• C: Essential Concepts
• Flat files vs. Cross-Tab files
• Measures & Dimensions
• Continuous & Discrete data
• Values axis & Category axis
• Granularity
• D: Data Blending
• What is Data Blending?
• Data Blending on Multiple columns
• Create Calculated Fields in a Blend
• Understanding Types of Joins (LEFT, RIGHT, INNER, and OUTER)
• Difference between Relationships vs Joins
• Knowing difference between Joining Data vs. Blending Data
• Working with Relationships
• E: Data Visualization Building Blocks - Deep Dive
• Worksheets & Dashboards
• Filters:
• Creating Filters
• Customizing Filters
• Filter Actions
• Filter Selected Sheets
• Filtering Large Dimensions
• Filter Types:
• Local Filters
• Global Filters
• Data Source level Filters
• Context Filters
• Sorting:
• Sorting Single Dimension Graphs
• Sorting Multi Dimension Graphs
• Sorting by Different Measures
• Row Shelf & Column Shelf
• Marks cards:
• Color
• Size
• Label
• Detail
• Tooltip
• Path
• Organising your data:
• Using Groups (Static Groups vs. Dynamic Groups)
• Creating and Using Hierarchies
• Creating a Combined Field
• Using Sets
• Overview of Calculated Columns