Tableau for Data Visualization: Advanced Features

Tableau for Data Visualization: Advanced Features

• discover the key concepts covered in this course
• plot country-related information on a Tableau Map
• configure the appearance of a map and explore the use of map layers
• generate multiple charts based on the same dataset for use in a dashboard
• create a dashboard and explore the various layouts available for the placement of objects such as charts
• embed an interactive web page, navigation button, and text label in a dashboard
• set the aesthetics of a dashboard and include an option for the user to download the dashboard to a local file
• develop a story to convey information in the form of visualizations by assembling charts and a dashboard
• share a story with the general public by publishing it to Tableau
• summarize the key concepts covered in this course

In addition to everything you'd expect from a data visualization tool, Tableau has extensive support for many advanced visual customization and user interaction features. This course gives you a taster of how these features work.

You'll start by using Tableau maps to render country-specific information and then further customize these maps, rendering their appearance and using map layers. You'll then assemble multiple charts together to collectively convey information using dashboards.

Next, you'll learn how to change the aesthetic appearance of Tableau dashboards and update them to include charts and other interactive objects and settings, such as navigation buttons, text labels, and download options. Lastly, you'll learn how to share a story publicly in the form of visualizations comprising charts and a dashboard using Tableau's publish feature.

Tableau for Data Visualization: Exploring Visualizations & Data Formats

Tableau for Data Visualization: Exploring Visualizations & Data Formats

• discover the key concepts covered in this course
• enrich your visualizations by conveying additional information using text
• convey information from multiple fields in your dataset using a variety of markers
• portray different characteristics of your data by using a variety of charts available in Tableau
• plot the changes in your data over time by using the Pages feature
• enable users to drill down in your visualizations by arranging related fields in a hierarchy
• recognize the different ways in which hierarchy definitions could lead to incorrect visualizations
• analyze your data at a higher level and drill down to a lower level based on a date field
• gather together related elements in your visualizations using groups
• create a table which analyzes sales data along 3 different dimensions
• flatten a multi-dimensional table using a combined field
• define a field in your dataset which is based on a calculation performed on an existing field
• combine related data points into a set to analyze data within and outside the set
• summarize the key concepts covered in this course

Tableau not only has a variety of tools to visualize data, but it also allows you to redefine the fields in your data to convey rich meaning. In this course, you'll explore how multiple dimensions of the underlying data can be portrayed using shapes, colors, and labels.

You'll learn to build a wide variety of charts, such as pie charts, treemaps, and many more, to convey various information types. You'll also work with different techniques, such as hierarchical, combined, and calculated fields, to arrange the fields in the underlying dataset into hierarchies and groups, portraying relationships and facilitating data drill-downs for your users.

Lastly, you'll learn how you can generate sets from combined data, so this data can be analyzed with the context of the set, as well as outside it.

Tableau for Data Visualization: Introduction

Tableau for Data Visualization: Introduction

• discover the key concepts covered in this course
• download the public version of Tableau and install it on your machine
• load data from a variety of file types into Tableau in order to perform an analysis
• prepare your data for visualization by applying transformations, which are more meaningful for data analysis
• recognize the properties of your data in order to choose the appropriate visualizations for analysis
• analyze information in multiple data tables related to one another
• generate a basic visualization in order to analyze categories of data
• define the aesthetics of a Tableau chart in order to make it easier to analyze
• gather detailed information from Tableau charts by interacting with them
• perform some basic data cleaning on your datasets using the Tableau data interpreter
• summarize the key concepts covered in this course

Tableau is a data visualization tool suitable for a variety of purposes and situations. Knowing the basics of this tool will help you share necessary data with stakeholders and peers in a meaningful and engaging way. This course will introduce you to Tableau's basic features and cover the fundamental operations performed with this tool.

You'll start by loading data into Tableau using a variety of file types. You'll then apply transformations to your data and choose the most appropriate visualization for it. Next, you'll learn how to analyze data in multiple related tables as well as data categories. You'll then practice setting the aesthetics of charts and garnering detailed information through chart interactions. Lastly, you'll get hands-on with the Tableau data interpreter to clean a dataset.