Data Visualization with Tableau - Novice to Pro!: 5-in-1

It sounds like you have a comprehensive and well-rounded course on Tableau 10 designed for individuals looking to understand and utilize its features for business intelligence solutions. The course is structured into at least two volumes, with the first volume covering the basics of data preparation, chart creation, and interactive components in Tableau, and the second volume delving into more advanced dashboarding, analytics, and storytelling techniques.

The authors of this course bring a wealth of experience from various industries and roles, including academia, for-profit business environments, software industry leadership, data architecture, and IT consulting. Their expertise spans across economics, data science, SQL Server, Business Intelligence, Big Data, data analytics, text mining, and visualization with Tableau.

Here's a brief overview of the course content based on the authors' expertise:

1. Data Preparation: The course likely starts by teaching how to connect to various data sources, clean, and prepare data for analysis in Tableau. This is a critical step that ensures the quality and integrity of your data before visualization.

2. Basic Charting: You'll learn how to create simple charts such as bar charts, line graphs, scatter plots, etc., which form the foundation of visual storytelling.

3. Interactive Components: The course will then cover interactive elements like filters, parameters, and calculated fields that enable users to explore data in an intuitive manner.

4. Advanced Dashboarding: In Volume 2, you'll be introduced to more complex dashboards that combine multiple visualizations, KPIs, and actionable insights.

5. Analytics: You'll explore the analytics capabilities of Tableau, including forecasting, trend analysis, and statistical summaries that can provide deeper insights into your data.

6. Data Storytelling: The course will culminate in teaching you how to create compelling narratives with your data using interactive story points in Tableau.

7. Business Intelligence Solutions: You'll learn how to present your findings and insights effectively to stakeholders, making a case for data-driven decision-making.

The practical nature of the course, as indicated by the authors' backgrounds, ensures that you are not just learning theoretical aspects but also applying them in real-world scenarios. The combination of the authors' diverse experiences and their expertise with Tableau makes this course a valuable resource for anyone looking to master business intelligence through Tableau.

By the end of the course, you will be equipped with the skills to analyze complex data sets and present your findings through engaging visualizations and narratives that can drive decision-making processes within an organization. This mastery of creating insightful visualizations from complex data using Tableau is a highly sought-after skill in today's data-driven world.