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Retour à Visual Analytics with Tableau

Avis et commentaires pour d'étudiants pour Visual Analytics with Tableau par Université de Californie à Davis

1,094 évaluations
181 avis

À propos du cours

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....

Meilleurs avis


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.


Apr 12, 2018

Good intro to Tableau. The instructor is crystal clear. The case study is pretty good, it's very satisfactory to understand at the end what is wrong with this company.

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151 - 175 sur 177 Avis pour Visual Analytics with Tableau

par Rajesh.N

Apr 11, 2018

Good content for the beginn

par Mukund R

Jul 29, 2017

great to learn tableau

par Ponciano R

Mar 19, 2019

Great course.

par Peter C

Feb 11, 2019

Solid course.

par Mark D

Apr 21, 2017

I enjoyed the hands-on aspect of this course. I learned more about using Tableau from it that the prior courses in the specialization. I give this 3 of 5 stars for 3 reasons:

1) My classmates and I think that the instructor left one video out the course which is necessary to answer one of the quiz questions.

2) The instructions for at least 2 of the peer-graded assignments are incomplete. The grading criteria requires features that aren't mentioned in the instructions. As a result you need to alter and resubmit the assignments in order to meet all the grading criteria.

3) The instructor repeats himself in the course videos. He's present a summary of the video while displaying a Tableau screenshot and then repeat the same summary while displaying a Presentation slide. I feel that more time should have been spent reviewing the Tableau features and eliminate the repetition of the material.

par Fares G

Jul 21, 2019

The first two courses in the specialization were all theory and hardly included any hands-on Tableau instruction. So I was really looking forward to this third course to get some practical experience with Tableau. But after all that theory in courses one and two this was a disappointingly quick and cursory look at Tableau. I was expecting something like this from course 1 with each subsequent course getting deeper into Tableau functionality. The theory is important, but if this is supposed to be a Tableau specialization then the balance needs to be reversed - 80% practical Tableau instruction and 20% theory rather than the other way around!

par Richard V

Apr 25, 2018

The course was well organized and easy to follow. It provided good examples. However, I felt that I could have learned more, there was only few video material every week and in the beginning a lot of time was used to explain conceptual things like which chart to use when. I think, probably for some users this is very helpful, but I would have wished to learn more techniques and skills in tableau, maybe

par Dennis M

Jul 12, 2017

Weekly lectures were extremely basic and often only a minute or so of actual content with another minute of preview of wrap up. If there is only minimal content, there is no need to constantly summarize lessons. Other than the poor course construction, the content was generally helpful in exploring basic tableau visualizations.

par Iván C C P

May 05, 2018

I atended as a free user and I expected the course to be more technical. A possitive point is all the materials are very weel explained but there is a chance to improvement in the "tone" used by the teacher wich sometimes becomes a Little boring.

par María A S

Nov 25, 2018

I liked more the other courses from this especilization, this was in part a repetition of things, but mostly it went through things that are not clear like the AGG on the variables.

Its good always to keep practicing anyway

par Ashim B

Aug 19, 2019

This course is more hands-on, however the instructor didn't show enough examples to clarify the concepts as well as raise the curiosity. I felt the previous two courses of the specialization were much more in-depth.

par LeRoux T

Feb 18, 2018

Some technical issues made frustrating to try and complete the assignments but it gave me a chance to better understand how Tableau works

par Divya R

Aug 15, 2017

Course had a good flow. But, the content covered was very basic. Some depth in topics will add more value to the course.

par sharat c s p c

Jun 22, 2017

Course is very basic not many new things to learn. But thanks for the effort

par Mark B

Apr 26, 2019

It was fine, but a bit too easy. Finished the whole course in 1 day.

par Jose A S

Apr 06, 2019

It could be developed further.

The course was too short

par Yijia M

Apr 28, 2017

The data document for assignment is a mess.

par Sunil C

Jan 30, 2018

Introductory course for tableau..

par Mark A

Mar 10, 2018

This series is facilitated by a different Instructor, who is quite knowledgeable, but is not a qualified teacher, and the quality control is completely absent. In summary, the instructor is more demo'ing Tableau than TEACHING it (very different methods/approach). Some examples:

Instructor word for word repeats himself on SEVERAL occasions (as in, reads a line from the script, then reads the same line again). This is particularly noticeable in Course 3, Week 3, where every lecture he does this. The Filtering lecture he repeats himself verbatim 3 times within a one minute span (check the transcripts).

During one of his lectures, the instructor is describing a particular chart (area chart), but the chart he's showing is a different one (line chart).

The assignments regularly ask students to do things that have not been taught, requiring outside research (i.e. google). The AGG(Profit Ratio) stands out as one of the more frustrating aspects, in both Week 1 and 4.

Some of the assignments have incomplete details on what is needed to finish (specifically compared to what's displayed in the supplementary image). Students have to go out to the forums to read what students from prior sessions have posted to figure out what is required (lack of quality control)

Throughout the series of courses, the same source data is used (Sales Superstore Dataset). On one of the assignments (Course 3, Week 2), it references the same dataset (by name), but the file contains different data elements. The assignment details do not tell students it's different information (with the same file name), and reading the forums, can be seen as a regular issue for students (for over 10 months). There's no reason for this NOT to be highlighted in the Assignment. Same for Week 4, while Profit Ratio is included in the dataset, it doesn't Agg(Profit Ratio), as displayed.

The lectures are less than half as long as prior lectures (by the primary instructor), as the instructor doesn't give nearly enough detail. For calculated fields, the instructor literally reads off a list of the available formulas (that a student could read on their own) and that's the entire lesson (same applies to several lectures). At most, he talks about one example, but rarely displays it on screen. This is what I mention above, demo'ing versus teaching, just showing that Tableau has a particular feature, not adequately teaching its possible/various uses. There are plenty of demo videos out there (offered by Tableau), learners taking these courses are looking for more than that.

Some of the quizzes have questions about details not covered in the lectures. Most of the time you can extrapolate, but it's guessing rather than having been taught specific information.

Almost every lecture video starts with a recap of the prior video and ends with a foreshadowing of what's next. On 3 minute videos, there's no need to spend over a minute on that; most students are likely going from one to the next in quick succession.

Instead of saying things like "try and explore on your own", offer optional practice assignments or specific configurations to try. As a learner, I want to practice these things, to figure out various options and functionality, guidance on variations are much more helpful than content-less prompt to explore on our own.

I have mixed feelings about the example visual being provided with the assignments. Without them, I likely would not have been able to produce anything compared to what is being asked. With them, I found myself just looking at it and copying the layout/configurations to make sure I got it right. I didn't feel the lectures adequately prepared me for most of the assignments (without the finished product in front of me).

par Kelly D

Sep 29, 2017

This course is just a very basic walk-thru of the Tableau interface. At some points in the lecture videos the instructor literally clicks on menus in Tableau and just starts reading all the options. It should probably just be combined with the 1st course in the program. The peer reviewed assignments are the best part of the class. They are good opportunities to work through examples in Tableau, but they are set up with instructions to essentially recreate an existing visualization - kind of a paint by numbers approach to learning.

par Katherine M

Mar 13, 2020

This is one of those courses where I didn't get much more out of it than if I had done it on my own. It's helpful for showing the capabilities of Tableau, but not for explaining them. The instructor merely reads what is already in the Tableau menu vs. explaining it--not terribly helpful. The practice is also not very helpful because you don't learn why you're doing certain things. It's easy to just check the boxes, but not to understand what you're doing and why. This course was not one of the better ones.

par Svetlana L

Feb 25, 2017

This course is not well designed, there are multiple mistakes in the videos, assignments, etc. The content is covered after you already had to apply it in an assignment in a previous lesson. The tests are also not well made. The instructions to peer-reviewed assignments are not clear and will not bring you to the correct result which is shown during peer review. No involvement from the faculty, no one to answer questions.

par Han X

Nov 15, 2017

Was expecting to learn much more in this course. Quite disappointed as the video content was so bad that instructor was simply repeating and reading out the same words. There should be more demonstration on table calculations and formula, in the end each video is just 2-3 mins

par Manasi M

Aug 17, 2017

The assignments are inconsistent with the videos. Videos are barely informative and there should be opportunity for practice before proceeding to the assignment.

par Shrey M

Jan 04, 2020

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