Tableau Desktop: Part 1 Course Overview

Certainly! For individuals interested in undertaking the Tableau Desktop: Part 1 course at Koenig Solutions, the following prerequisites are suggested to ensure a successful learning experience:

• Basic Computer Proficiency: Comfort with operating a computer, managing files, and navigating the internet.
• Familiarity with Data Concepts: An understanding of basic data concepts such as spreadsheets, simple databases or any other form where data is commonly stored and manipulated.
• Interest in Data Visualization: A keen interest in exploring how data can be visually represented to uncover trends and insights.

These prerequisites are designed to provide a foundational baseline from which the course curriculum will build upon. No advanced technical skills or prior experience with Tableau is required, making this course accessible to learners who are new to the field of data visualization.

Target Audience for Tableau Desktop: Part 1

Tableau Desktop: Part 1 is a course designed for professionals seeking to leverage big data through powerful visualizations and keen data insights.

• Data Analysts
• Business Intelligence Professionals
• Project Managers
• Data Scientists
• Business Analysts
• Marketing Analysts
• Financial Analysts
• IT Professionals looking to improve their visualization skills
• Managers seeking to make data-driven decisions
• Consultants who require data visualization capabilities in their roles
• Academics and Researchers analyzing data sets
• Quality Assurance Specialists involved in performance metrics

Learning Objectives - What you will Learn in this Tableau Desktop: Part 1?

1. Introduction to the Course's Learning Outcomes and Concepts Covered: The Tableau Desktop: Part 1 course enables participants to effectively visualize and analyze data, create impactful visualizations, and share insights using Tableau.

2. List of Learning Objectives and Outcomes:

   • Identify Basic Tableau Capabilities: Understand the fundamental concepts and features of Tableau.
   • Connect to and Prepare Data: Learn to connect to various data sources and prepare data for analysis.
   • Explore Data with Views and Visualizations: Gain skills in building and editing visualizations to discover data insights.
   • Manage, Sort, and Group Data: Develop the ability to organize data effectively within Tableau.
   • Save, Publish, and Share Data Sources and Workbooks: Master the techniques to save, publish, and share work within and outside of Tableau.
   • Filter Data in Views: Apply filters to refine visualizations and enhance analysis.
   • Customize Visualizations: Enhance visualizations with annotations, highlights, and other advanced features to better communicate data stories.
   • Create and Enhance Dashboards: Design interactive and dynamic dashboards to visualize complex data sets.
   • **Create and Enhance