In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines. We’ll define discrete and continuous dates, and examine when to use each one to explain your data. You’ll learn how to create custom and quick table calculations and how to create parameters. We’ll also introduce mapping and explore how Tableau can use different types of geographic data, how to connect to multiple data sources and how to create custom maps.

Visual Analytics with Tableau

Visual Analytics with Tableau
This course is part of Data Visualization with Tableau Specialization


Instructors: Suk S. Brar, M.B.A.
Access provided by Toshiba Software India
78,095 already enrolled
1,859 reviews
Recommended experience
What you'll learn
Create a chart using Tableau
Create dates using calculated fields
Customize table calculations
Customize and create dual layer maps
Skills you'll gain
Details to know

Add to your LinkedIn profile
4 assignments
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 4 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
68.26%
- 4 stars
23.34%
- 3 stars
5.48%
- 2 stars
1.77%
- 1 star
1.12%
Showing 3 of 1859
Reviewed on Apr 23, 2019
Very hands on course. I can now answer some business problem through visual analytics. I highly recommend the course . And once again thanks to all instructors.
Reviewed on Nov 1, 2020
I liked that academic content but wished it had references to technical content. But analytics is more than the mechanics of creating visualisations. Highly recommended.
Reviewed on Nov 21, 2023
This course was short and sweet. I wish there were more practical examples with different datasets. The assignments could've been more challenging
Explore more from Data Science

University of Colorado Boulder




