Tableau Desktop: Part 2 Course Overview

Prerequisites for Tableau Desktop: Part 2 Course

To ensure you gain the maximum benefit from the Tableau Desktop: Part 2 course, we suggest meeting the following prerequisites:

• Completion of Tableau Desktop: Part 1 or equivalent experience: It is recommended that you have completed the initial workshop or have similar foundational knowledge in using Tableau, including familiarity with the core concepts and basic functioning of the software.

  
  

• Basic understanding of data concepts: You should be comfortable with concepts such as data types, key metrics, and basic data manipulation. Knowledge of how data is structured in databases or spreadsheets will be beneficial.

  
  

• Experience with data visualization: Although not strictly required, some prior experience in creating basic visualizations (charts, graphs, etc.) will help you grasp the advanced visualization concepts covered in this course effectively.

  
  

• Familiarity with Excel or comparable spreadsheet tools: Understanding how to work with data using spreadsheet tools like Microsoft Excel will aid in managing the data manipulation and analysis techniques taught in the course.

  
  

These prerequisites are designed to establish a baseline understanding, ensuring you can comfortably progress through the course's more advanced topics without feeling overwhelmed.

Target Audience for Tableau Desktop: Part 2

Tableau Desktop: Part 2 is an advanced 16-hour course designed for professionals seeking to leverage big data for insightful, competitive analytics. It dives deep into data visualization and blending techniques leveraging Tableau®.

• Data Scientists

• Business Intelligence Professionals

• Data Analysts

• Marketing Analysts

• Financial Analysts

• Business Analysts

• Project Managers

• Data Consultants

• IT Professionals who manage data-driven projects

• Academics and researchers dealing with large datasets

• Supply Chain Analysts

• Operations Managers

• Anyone involved in operations or strategic planning who requires advanced data analysis skills.

Learning Objectives - What you will Learn in this Tableau Desktop: Part 2?

Introduction to Learning Outcomes and Concepts Covered: The Tableau Desktop: Part 2 course enhances skills in advanced data visualization, blending data sources, and gaining deeper analytical insights, all using Tableau’s comprehensive tools.

Learning Objectives and Outcomes:

• Blend Data from Multiple Sources: Efficiently combine data from various origins to create unified visualizations.
• Data Joining and Troubleshooting: Master techniques for accurate data joining and solve common issues in data merging.
• Access and Organize Data from PDFs: Connect to and extract usable data from PDF files, organizing it for analysis.
• Refine Visualizations with Sets and Parameters: Use sets and parameters to enhance visual detail and interactivity in reports.
• Advanced Data Calculations: Implement complex calculations to deepen analysis and reveal patterns or insights.
• Statistical Analysis and Forecasting: Apply statistical methods to forecast trends and analyze variability within data sets.
• Create and Customize Geographic Visualizations: Develop interactive maps and customize geospatial data visualizations effectively.
• Use Ask Data and Explain Data Features: Leverage Tableau’s capabilities to query data using natural language and automatically generate explanations for data points.
• Analyze Data with LOD Expressions: Learn Level of