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Вернуться к Visual Analytics with Tableau

Отзывы учащихся о курсе Visual Analytics with Tableau от партнера Калифорнийский университет в Девисе

Оценки: 1,651
Рецензии: 320

О курсе

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....

Лучшие рецензии


19 авг. 2017 г.

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.


8 авг. 2021 г.

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.

Фильтр по:

201–225 из 322 отзывов о курсе Visual Analytics with Tableau

автор: René G B

20 мар. 2019 г.

Great course

автор: Radwan A

19 авг. 2018 г.

Great course

автор: Irvin Y D M

7 мая 2018 г.

Great Course

автор: melody l

14 янв. 2017 г.

Great course

автор: Karan C

30 апр. 2020 г.

best course

автор: Kunal A

27 апр. 2020 г.

nice course

автор: Ambuj G

19 авг. 2019 г.

Nice course

автор: Gregory R G J

4 янв. 2019 г.

Thumbs Up!

автор: Anastasiia T

2 сент. 2017 г.

I liked it

автор: Ahmed T

12 июня 2017 г.

Amazing :)

автор: David V

9 янв. 2021 г.

Well done

автор: Rashmi G R

26 дек. 2020 г.


автор: Mr. M P

5 мая 2020 г.


автор: Vishnu N S

20 мая 2019 г.

NIce ...

автор: Fransua R

8 авг. 2020 г.


автор: Gerard P

10 сент. 2019 г.


автор: Jaspreet K

23 окт. 2017 г.


автор: Sai C K

27 сент. 2021 г.


автор: Rahul D

8 мая 2020 г.


автор: Prabhu M

5 окт. 2019 г.


автор: Riyaz U N T

25 февр. 2018 г.


автор: Neha A

14 февр. 2018 г.


автор: Stephen H

27 дек. 2016 г.

Exercises were good, but the actual teaching of technique felt somewhat lacking. In a way, the instructors actually cover a lot of ground over a short period of time, but on the other hand, there are certain areas that I wish they would have covered more in depth in order to be equipped to complete the homework.

For example: the Week 2 HW on Shipment status did not specify the criteria for early/late/on-time, so I ended up making a parameter for the user to vary it; however, parameters are not covered in this course. Also, for the same homework, there wasn't enough explanation of how to get weeks to be listed starting with a particular day, which made it difficult to replicate exactly what the homework sample is supposed to look like.

автор: HM W

1 мар. 2021 г.

The videos were very short and the content in them was very repetitive (outline in the opening, then again after "let's get started...then "summary and what's next" at the end of the work session and then again in the close.

I would have liked to have more scenario work on the calculations, especially since the videos were so short. Having multiple things to calculate/look up would have been really helpful.

Some of the assignments asked for things that weren't covered.

All that aside, I found the instructor to be very easy to understand. I just wish there'd been more.

автор: Elizabeth M

13 окт. 2020 г.

Assignment for week 2 had to be done before watching week 3 videos, the latter which contained information that was needed to complete the assignment for week 2. Please consider revising week 2 assignment accordingly. Otherwise the course was great and useful to learn about data visuals in Tableau!