[MUSIC]
Hello, and welcome to Visual Analytics with Tableau.
I'm Suk Brar, and I'll be taking this journey with you.
I've been working data visualization for my entire life, but
in Tableau for the last several years.
A long time ago, I realized that visuals are much more impactful than tables, so
I began creating effective dashboards that told the story of the data.
My goal for
this course is to make you aware of some of the analytical tools in Tableau.
In the first module, I will showcase the different types of charts in Tableau, and
how you can make changes.
I will teach you how to overlay multiple charts onto one another.
And you will be able to use the Tableau Tooltip feature.
I will then spend some time going into each chart type for you, and
explain what chart types are better suited for the type of data you have.
In the second module we will spend some time on dates in Tableau.
You will be able to differentiate between discrete and continuous dates, and
use Tableau's date hierarchy feature to drill down into your timelines.
You will also be able to convert from one date type to another and
create date variables using calculated fields.
Table calculations are the topic for the third module.
We will discuss how to create new fields and make custom table calculations.
I will showcase different types of calculations Tableau provides
automatically, and how each calculation can impact the data.
You'll also be able to apply filters and create parameters effectively.
For the final module, we will turn our attention to mapping in Tableau.
You will discover the types of geographic data recognized by Tableau.
And be able to change a map's shapes, colors, and sizes.
You will customize maps to use location data that is not recognized by Tableau.
We will finish our lesson on maps by overlaying multiple maps known as
dual-layer mapping.
We have a lot to cover, so let's get started.