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Tableau Fundamentals Course Overview

Tableau Fundamentals Course Overview

The Tableau Fundamentals course is designed to equip learners with the core skills required to effectively use Tableau for data visualization and analysis. It's structured to provide a comprehensive understanding of Tableau's capabilities, starting with an introduction to the Tableau Ecosystem and familiarizing users with the interface. As learners progress, they will learn how to connect to data, create dashboards, and perform a variety of data manipulations.

Throughout the course, participants will gain hands-on experience with real-world data sets, enabling them to understand the analytical process and simplify data for better insights. They will explore various techniques for organizing, filtering, and sorting data, as well as delve into more complex tasks like creating calculated fields and using quick table calculations.

By the end of the course, students will be adept at creating interactive visualizations, mapping data geographically, and making their views available to stakeholders. This knowledge will not only enhance their data analysis skills but also make them proficient in turning complex data into actionable insights using Tableau.

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  • Live Online Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
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♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

  • Can't Attend Live Online Classes? Choose Flexi - a self paced learning option
  • Power Packed 08 Hours (Edited from 16 hours of Live Training)
  • 6 Months Access to Videos
  • Access via Laptop, Tab, Mobile, and Smart TV
  • Certificate of Completion
  • Hands-on labs

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Course Prerequisites

To ensure a successful learning experience in the Tableau Fundamentals course, participants should meet the following minimum prerequisites:


  • Basic computer skills: Familiarity with operating a computer, managing files, and navigating the internet.
  • Fundamental understanding of data: Knowledge of what data is and some of the basic types, such as text, dates, and numbers.
  • An interest in data visualization and analysis: While advanced skills are not required, an interest in exploring data visually will be beneficial.
  • Basic problem-solving skills: Ability to think critically and logically to analyze data and draw conclusions.
  • Microsoft Excel knowledge: Understanding of spreadsheets and basic Excel functions can be helpful, as it provides context for data organization and manipulation which is transferable to Tableau.

Please note that prior experience with Tableau is not required, as the course is designed to introduce participants to the fundamentals of the software. The course will guide students through the necessary steps to become proficient in using Tableau for data visualization and analysis.


Target Audience for Tableau Fundamentals

Koenig Solutions' Tableau Fundamentals course is tailored for professionals seeking expertise in data visualization and analytics.


  • Data Analysts
  • Business Intelligence Professionals
  • Data Scientists
  • Business Analysts
  • Reporting Professionals
  • IT Developers and Testers
  • Project Managers
  • Professionals working with data in any sector
  • Marketing Analysts
  • Finance Professionals
  • Statisticians
  • Business Owners looking to harness data for informed decision-making
  • Students pursuing careers in data analysis or business intelligence


Learning Objectives - What you will Learn in this Tableau Fundamentals?

Introduction to Learning Outcomes

In the Tableau Fundamentals course, participants will gain a strong understanding of Tableau's core features and the ability to create insightful visualizations and dashboards to make data-driven decisions.

Learning Objectives and Outcomes

  • Understand the Tableau Ecosystem and navigate the interface confidently.
  • Connect to various data sources and create a basic dashboard to visualize data.
  • Learn to clean, sort, and organize data effectively within Tableau for clearer insights.
  • Master the use of filters and views to focus on relevant data subsets.
  • Grasp the concept of date-based data slicing and create groups and hierarchies for in-depth analysis.
  • Combine multiple measures in a single view and understand the difference between discrete and continuous dates.
  • Illustrate relationships between numerical values using various chart types, including scatter plots and dual axes graphs.
  • Utilize Tableau's mapping capabilities to represent geographical data visually.
  • Create text and highlight tables to display specific values for detailed analysis.
  • Develop skills in customizing data with calculated fields, aggregations, and quick table calculations, enhancing analytical depth.