Joshua Milligan is a Tableau Zen master, trainer and senior data consultant at Teknion data solutions, a company dedicated to empowering people to leverage their data. He is also author of the wildly successful Learning Tableau. In using Tableau Joshua has a great insight into all the different hats a Data Scientist needs to wear. Here he explains a bit about his craft and the range of skills you really need to master as a data scientist, becoming analyst, designer, architect, mentor and detective all at once, and how Tableau can help you be all of them.
Early in my career, when I was developing software, I remember one of my mentors telling me that everything was about the data. Lines of code were written to read data, move it, create it, and store it. I wrote a lot of lines of code and it really was all about the data.
However, over the past decade, I’ve come to a new appreciation for the meaning of data and how being able to see and understand it opens up a whole new world of insight. Over the years I’ve done everything from data modeling, analysis, ETL, and data visualization. I’ve used a lot of different tools, systems, and platforms. But the tool that really ignited my passion for data is Tableau.
Tableau is a data visualization and analytics platform which allows me to build visualizations and interactive dashboards by dragging and dropping fields onto a canvas. This gives me hands-on interaction with the data. The tool becomes transparent and my attention can be focused on asking and answering questions using hands-on interaction with the data.
As a consultant, I’m asked to play a variety of roles and I use Tableau in almost all of them. Some of these roles include:
My experience with Tableau and my interaction with other users led me to write the book Learning Tableau. My goal was to give readers, whether they were beginners or had been using Tableau for a few years, a solid foundation for understanding how Tableau works with data and how to use the tool to better understand their data.
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