Tableau Essentials: Turning Raw Data into Visual Stories

October
15
2026 (Thursday)
Time 10:00 AM PDT | 01:00 PM EDT
Duration: 60 Minutes
24 Days Left To REGISTER
Id: 213714
Instructor
Soorya S 
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Live
Recorded
Live + Recorded

Overview

A hands-on introduction to Tableau for professionals looking to turn raw data into compelling, interactive visuals. This session covers the fundamentals of building charts, dashboards, and stories in Tableau, with practical tips on design choices that make data easier to understand and act on.

Why you should Attend

A spreadsheet full of numbers won't get a decision-maker's attention if you can't visualize your data, your insights risk being ignored, no matter how good the analysis behind them is.

Areas Covered in the Session

  • Why data visualization matters in business decision-making
  • Getting started with Tableau: interface and core concepts
  • Connecting to data sources and preparing data for visualization
  • Building your first charts: bar, line, and map visualizations
  • Creating interactive dashboards with filters and actions
  • Dashboard design principles: clarity, hierarchy, and storytelling
  • Common visualization mistakes and how to avoid them
  • Live demo: building a dashboard from raw data

Who Will Benefit

  • Data Analysts
  • Business Analysts
  • Marketing Analysts
  • Operations/Quality Analysts
  • Reporting professionals
  • Managers who Consume Dashboards
  • Aspiring BI Developers, Excel users Transitioning to BI tools

Speaker Profile

Soorya is a Data Analyst with hands-on experience in compliance case management, KPI monitoring, product disposition decisions, and cross-functional stakeholder coordination, working extensively with SQL, Excel, and BI dashboards. Currently deepening this expertise through a structured data science and machine learning program, Soorya brings a practitioner's lens to teaching - breaking down technical concepts using real workplace data problems, making sessions practical and immediately applicable rather than purely theoretical.
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