In 2013, IBM reported that 90% of all data ever generated by humans was created in the past two years. Harnessing this data for actionable insight is key to securing competitive advantage in today’s business landscape. Unfortunately, current spreadsheet software is ill-equipped to handle this volume of data quickly and efficiently. This is where Data Visualization plays an important role.
Tableau is a drag-and-drop data visualization tool that enables users to arrive at insight through an intuitive graphical user interface. Learn about the fundamentals of producing visuals and visual analytics through several business case studies on this course.
What Will I Learn From This Course?
Classroom training and hands-on exercise.
Course Outline for This Programme
Setting up the Tableau Public environment on your computer and getting familiar with the user interface. Learn about the vibrant Tableau community forums and the other points of contact to look for help when we get stuck in the visualization process.
- Set-up your Tableau Public environment
- Learn about the types of data we can connect to Tableau Public
- Examine the Tableau Public workspace
- Navigate the Tableau Forums & Tableau Public Viz Gallery
Tableau supports connections to a wide variety of data sources. Before loading in the data to Tableau we must consider which fields of data are most important and how we can combine fields from different files into a single visualization. Breaking down data silos is key to unlocking actionable insights.
- Refresh concepts in set theory and learn about the different types of Data Joins
- Establishing multiple simultaneous Data Connections
- On the fly data connections with Data Blending
Learn the difference between buildings blocks of Tableau – dimensions, marks, measures and formatting. Creating commonly used charts such as bar, line & scatter charts. Tableau is a great tool for visualizing spatial data (geographic) and we will test out this capability by plotting choropleths with sample data.
- Dimensions, Measures & Data Types
- Charting Principles: Bar Chart, Line Chart, Pie Chart
- Filters & Sorting Functions
- Working with Geographic Data
Not all charts are created equal. Design choices have a big impact on readability and interpretation of a visuals. Learn best practice of visualization and pick up some tips and tricks to making an accessible aesthetic for the audience.
- Cognitive Overload
- Visual Hierarchy
- Building for an intuitive interpretation
Stakeholders often have quite specific questions about our data that may require custom calculations.
What is the average for the last three months? How many customers had a late delivery? Table Calculations and Calculated Fields enable us to answer these questions directly on Tableau without having to manipulate data on Excel beforehand.
- Table Calculations
- Reference Lines
- Calculated Fields
The whole is greater than the sum of its parts. Dashboards are a collection of visualizations that provide all key metrics at a glance. Tableau dashboards take this a step further by enabling interactivity – slice, dice and filter the data to drill down and discover the root cause behind business problems.
- Assemble a dashboard from individual worksheets
- Incorporate interactivity through dashboard actions