Last Updated : 27 Feb 2025

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.

5.0

Beginner

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Course Fee	1,300
Total Fees	1,300 (USD)

USD

950^♱

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Course Fee	950
Total Fees	950 (USD)

USD

^♱

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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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.

Tableau Fundamentals

Intermediate Tableau

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.