Tableau Data Visualization: Learn Today, Apply Tomorrow

Lv1. Understanding Tableau and Data

• First, understand the Tableau Software ecosystem and product line.
• Familiarize yourself with the overall UI menus and terminology for Tableau worksheets.
• Prepare your setup for practice by connecting the right data to Tableau.

Lv2. Chart Creation and Visualization

• Create simple charts (bar charts, pie charts, highlight tables)
• Create complex charts (hierarchies based on relationships, crosstab conversion, grouping, quick table calculations)
• Scatter chart
• Geographic information visualization (symbolic maps, filled maps)
• Visualization of analysis results (trend lines, forecasts, average lines)
• Creating dual-axis charts and combo charts
• Use of 'aggregation'
• Creating continuous and discrete charts
• Charting using sets (a visualization method that represents a portion of data separately)
• How to create a dashboard

Lv3. Advanced Features

• Create charts tailored to your needs using 'calculated fields'
• Create charts tailored to your needs using 'parameters'

Q. What is Tableau?

Tableau is a data visualization and analysis tool. It's a common BI tool.

BI, or Business Intelligence, can be broadly divided into three stages: data collection, data organization, and data visualization.

Tableau is a tool specialized in data visualization, the final step in this process. While other tools can accomplish the same goal, Tableau's greatest strength lies in its ease of learning.

Q. Why should I learn Tableau?

We're now in the era of self-driven business intelligence (BI). We need to be able to analyze the data we need and immediately apply it to our work. From this perspective, learning Tableau, which is easy for anyone to use, will help you achieve results faster than any other tool.

Q. How can I utilize Tableau after learning it?

Tableau can be used in a wide variety of applications. First of all, it can be applied to almost any area within a company. The most obvious example is sales analysis. Among the clients I've taught to, one created a dashboard that displayed salesperson rankings based on HR performance, while another used a dashboard to manage the status of each machine in a factory.

It can also be used for personal purposes. You can create a map of Seoul's bicycle locations, a map of Starbucks locations, or just about anything else you can think of, as long as you have the data.