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Learner Reviews & Feedback for Visual Analytics with Tableau by University of California, Davis

4.6
stars
1,840 ratings

About the Course

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....

Top reviews

AG

Aug 20, 2017

Through this course learner can efficiently learn about dual layer maps, dual axis, creating calculated fields and many more. Thanks for such a great platform to learn and for great instructors.

DL

Aug 9, 2021

This course, which I completed as part of UC Davis' Data Viz Specialization, was clearly presented and involved a lot of hands on assignments that helped to increase confidence and skills.

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351 - 363 of 363 Reviews for Visual Analytics with Tableau

By Mickey C

Jun 28, 2023

The class was simple, and provided some review. The instructor was much more intelligible and had better delivery than the other UC Davis courses I've taken, but the peer grading process is still the worst I've seen on Coursera. There has to be a way to screen out trolls who just like to make things difficult for everyone else.

By Parag S

Jun 5, 2020

Course seems to be too easy. Need to have longer videos with more use cases. Need to have tougher formula (calculated fields) and parameter applications. Since this is 3 out of 5 courses of this pack, it need to be slightly advanced. Also the control chart video in one of the previous courses need to be here.

By John M G

Nov 22, 2020

I think the course is just what I need however, I hope they narrated it better. Apparently, in some videos, the instructor repeats what he said. I'm sorry but I doubt that this is something they did not notice since a lot of videos in this course have it. Anyway, thank you for the experience!

By Ruchi N

Dec 28, 2020

The course doesn't add much value if you have already done prior 2 courses in Data Visualization with Tableau specialization. There is a gap between what's taught through videos and assignments given. It was underwhelming experience if see this in continuation of my prior 2 courses.

By Elliot K

Feb 13, 2023

The instructor literally just read tool tips for 5 minutes at a time. You could figure this out yourself in about 10 minutes building your first viz if you have any sort of software programming experience.

By Shrey

Jan 4, 2020

Poor narration. Lack of good explanation, and project assignments are not structured according to syllabus completed.

By Alejandra C

Apr 28, 2020

Is a good beginners course however I was expecting more deep dive in the topics, specially in the data managing

By Ananya A

Apr 24, 2020

Not much learning

By Sreekanth B

Sep 15, 2021

nothing much has been covered technically and there are so many concepts to be covered. i have subscribed this course , but unfortunately did not get the time to complete in time and after 5 months, when i gone through the course, nothing is there for learners about tableau.

By Meith N

Apr 14, 2021

The course needs to be re-structured properly. The assignments had concepts which were thought later in the course. Also need to show the working of the features more elaborately.

By Devon L

Nov 30, 2020

This course might as well not have been here. Most of the subjects presented were already covered in previous courses.

By Bruno F

Apr 11, 2018

The peer evaluation hold back on the progress of the course

By Siddhi P

Aug 16, 2020

The information provided as per the assignment is less.