Expert-level Tableau Training

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Online and Face-to-Face Tableau Training

Embark on your journey to mastering Tableau with our comprehensive training program, led by the esteemed instructor, Ambarishan. Whether you prefer the flexibility of online learning or the interactive experience of face-to-face sessions, our program offers the best of both worlds. Over the course of 3 or 5 days, you'll dive deep into Tableau's features and functionalities, gaining practical skills and insights to excel in data analytics. With Ambarishan's expert guidance, you'll learn how to leverage Tableau effectively, empowering you to drive data-driven decisions and achieve your business objectives. Join us for an immersive learning experience and take your Tableau skills to new heights.

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Why Should You Attend Our Training?

The course was developed by a globally recognized Tableau expert.

Gain online access to training video content for convenient revision and practice sessions at your own pace.

Join live online Q&A sessions with a Tableau expert every two weeks for a full year.

Who Should Attend Our Tableau Training?

Our Tableau training is designed to empower individuals at every skill level to elevate their data analytics proficiency and harness the full capabilities of Tableau. Whether you're new to data visualization and aiming to build a solid understanding or an experienced professional seeking to refine your skills, our training is tailored to meet your needs. Business analysts, data scientists, IT professionals, and decision-makers will all find value in our extensive curriculum, crafted to equip participants with the insights and tools necessary to thrive in the evolving field of data analytics.

  • Business Analysts
  • Data Analysts
  • Data Scientists
  • Business Intelligence Professionals
  • IT Professionals
  • Decision Makers
  • Managers
  • Project Managers
  • Database Administrators
  • Finance Professionals
  • Students
  • Marketing Analysts
  • Sales Analysts
  • Operations Managers
  • Consultants
  • Entrepreneurs
  • Anyone interested in data analytics and visualization

Tableau training is applicable across diverse industries, including:

  • Healthcare
  • Finance
  • Retail
  • Manufacturing
  • Education
  • Technology
  • Government
  • Marketing
  • Consulting
  • Energy
  • Hospitality
  • Transportation
  • Media and Entertainment
  • Real Estate
  • Nonprofit sector

Master Tableau With the Right Guidance From Certified Experts

Remote Help and Support

Ambarishan Purushothaman

Ambarishan provides tailored Tableau training programs designed for various skill levels. Leveraging his expertise, he mentors participants from foundational to advanced skills, offering practical insights and ongoing assistance to help them maximize their proficiency in data visualization and analytics.

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Training Course Content

This comprehensive training course is designed for beginners and self-taught individuals aiming to enhance their Tableau proficiency. Delve into the fundamentals of Tableau, covering data connectivity, advanced visualization techniques, and the formulation of impactful data stories. Acquire essential skills to effectively communicate data insights to stakeholders. The course is divided into three modules for a thorough learning journey (click on each section below for more details).

  • Module-1

    Introduction and Overview

    Why Tableau? Why Visualization?
    Getting Started – creating some powerful visualizations quickly
    The Tableau Product Line
    Things you should know about Tableau

  • Module-2

    Concepts and Options when Connecting to Data

    Overview of other connection options
    Joining multiple tables
    Data Blending
    Copy and Paste
    Data Extracts
    Custom SQL
    Publishing and Re-using Data Connections
    Understand how to deal with data changes in your data source such as field addition,
    deletion or name change
    Re-using and sharing data connections – the concept of meta data
    Working with multiple connections in the same workbook

  • Module-3

    Getting Started

    Connecting to Data and introduction to data source concepts
    Working with data files versus database servers
    Understanding the Tableau workspace
    Dimensions and Measures
    Using Show Me!
    Tour of Shelves (How shelves and marks work)
    Building Basic Views
    Help Menu and Samples
    Saving and Sharing your work

  • Module-4

    Working with Data

    Data Types and Roles
    Dimension versus Measures
    Data Types
    Discrete versus Continuous
    The meaning of pill colors
    Database Joins
    Data Blending
    Working with the Data Engine / Extracts and scheduling extract updates
    Working with Custom SQL
    Adding to Context
    Switching to Direct Connection
    Building meta data via shared Data Source connections
    Performance considering and working with big data

  • Module-5

    Filtering, Sorting & Grouping 

    Advanced options for filtering and hiding
    Understanding your many options for ordering and grouping your data: Sort,Groups, Bins, Sets
    Understanding how these options inter-relate

  • Module-6

    Working with Parameters

    Parameter Basics
    Data types of parameters
    Using parameters in calculated fields
    Inputting parameter values and parameter control options
    Advanced Usage of Parameters
    Using parameters for titles, field selections, logic statements, Top X

  • Module-7

    Working with Data

    Data Types and Roles
    Dimension versus Measures
    Data Types
    Discrete versus Continuous
    The meaning of pill colors
    Database Joins
    Working with the Data Engine / Extracts and scheduling extract updates
    Working with Custom SQL
    Adding to Context
    Switching to Direct Connection
    Building meta data via shared Data Source connections
    Performance considering and working with big data

  • Module-8

    Analysis

    Creating Views
    Marks
    Size and Transparency
    Highlighting
    Working with Dates
    Date aggregations and date parts
    Discrete versus Continuous3
    Dual Axis / Multiple Measures
    Combo Charts with different mark types
    Geographic Map
    Page Trails
    Heat Map
    Density Chart
    Scatter Plots
    Pie Charts and Bar Charts
    Small Multiples
    Working with aggregate versus disaggregate data
    Analyzing
    Sorting & Grouping
    Aliases
    Filtering and Quick Filters
    Cross-Tabs (Pivot Tables)
    Totals and Subtotals
    Drilling and Drill Through
    Aggregation and Disaggregation
    Percent of Total
    Working with Statistics and Trend lines

  • Module-9

    Building Advanced Chart Types and Visualizations / Tips & Tricks

    Bar in Bar
    Box Plot
    Bullet Chart
    Custom Shapes
    Gantt Chart
    Heat Map
    Pareto Chart
    Spark Line
    KPI Chart

  • Module-10

    Building Better Dashboards

    Interactive Dashboards
    Quick Filters
    Dashboard Objects
    Filter Actions
    Highlighting and Actions
    Performance
    Publish to Web
    Zones
    Guided Analytics
    Cascading Filters
    Highlighting
    Quick filter Options
    Select then See Visual
    Self-Populating Dashboards
    Shortcuts
    URL Actions

  • Module-11

    Formatting

    Options in Formatting your Visualization
    Working with Labels and Annotations
    Effective Use of Titles and Captions
    Introduction to Visual Best Practices

  • Module-12

    Building Interactive Dashboards

    Combining multiple visualizations into a dashboard
    Making your worksheet interactive by using actions and filters
    An Introduction to Best Practices in Visualization

  • Module-13

    Getting Started with Calculated Fields

    Working with String Functions
    Basic Arithmetic Calculations
    Date Math
    Working with Totals
    Custom Aggregations
    Logic Statements

  • Module-14

    Working with Calculated Data and Statistics

    A Quick Review of Basic Calculations
    Arithmetic Calculations
    String Manipulation
    Date Calculations
    Quick Table Calculations
    Custom Aggregations
    Custom Calculated Fields
    Logic and Conditional Calculations
    Conditional Filters
    Advanced Table Calculations
    Understanding Scope and Direction
    Calculate on Results of Table Calculations
    Complex Calculations
    Difference from Average
    Discrete Aggregations
    Reference / Trend Lines
    Statistical Calculations
    Summary Stats
    Cohort Analysis
    Working with Dates and Times
    Continuous versus Discrete Dates
    Dates and Times
    Reference Dates

  • Module-15

    Overview – Working with Tableau Server

    Publishing to Tableau Server – Overview of publishing, scheduling & security options
    Tableau Server Usage – Interacting with Published Visualizations

  • Module-16

    Live Project and guidance

    2 Capstone Project

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