Chevron Left
Voltar para Visualização de Dados

Comentários e feedback de alunos de Visualização de Dados da instituição Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-Champaign

1,269 classificações
287 avaliações

Sobre o curso

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns....

Melhores avaliações

16 de Nov de 2020

Very useful course. It enlightens my ways to data visualization. I knew some concepts, but in a disorganized way and not knowing how. This course fills these gaps. It is tremendously helpful.

5 de Abr de 2018

Good course, very well structured and with interesting assignments. Some (especially first) lessons are more of a general culture but most are very helpful and allow to learn a lot of things.

Filtrar por:

1 — 25 de 284 Avaliações para o Visualização de Dados

por Pāvels G

4 de Mai de 2018

Good course but need some thing to do:

1. More material. Some topics are just looked superficially.

2. Need provide addition video lessons ore provide information to student that he need know some visualization tool. Excel, Tableau, any thing.

3. There is some errors what still not corrected for many months - in week 4 some video is empty, some misunderstanding information on video slide.

por James A L

6 de Ago de 2018

Too much background information, not enough information critical to applicable demands.

por Sachita P

15 de Jan de 2018

Very nice course. It encourages you to learn different data visualization tools for completing the assignments. And, peer graded assignments are too beneficial since, they give you a sight of how other peers are completing their work and all. Lecture videos too are awesome!!

por Chen Q

4 de Fev de 2019

The fundamental concept part and assignments are good.

But I think since it is related to visualization, the course can spend more time on how to make a visual.

por Rex O

30 de Ago de 2018

most horrible specialization in coursera! Time wasted

por NAGA A K

12 de Abr de 2020

It's always with Coursera providing amazing courses for students to enhance their skills and adding their part to the success of students in their life's.

This Amazing course data visualization starts from very basic, like which colour our eye attracts more to reaches the top of data visualization topics like visualizing complex network graphics.

Thanks for Coursera for this amazing course.

por Taha M M

15 de Abr de 2020

One of the best courses that i have attended during my entire life. I have worked as BI consultant for 15 years and the contents availed in this course is a must to have for anyone working in BI field. Thanks Illinois University for this amazing course

por Ian W

10 de Ago de 2018

The lectures introduces various ways of visualizing data.

There are fewer details on Tableau software usage and hand-on network graphing tutorial, students will have to search for more knowledge in these parts during the class.

por Mykola K

6 de Abr de 2018

Good course, very well structured and with interesting assignments. Some (especially first) lessons are more of a general culture but most are very helpful and allow to learn a lot of things.

por John M

4 de Jun de 2016

I found the class to be very informative. The assignments on creating charts and graphs for large data sets were practical and helped me understand the concepts taught in the course.

por Cheng-shuo Y

27 de Nov de 2017

Really like this course which leads me to Tableau. After the course, I take about 8 hours to learn Tableau and I think my ability of data visualization ballooned.

por Ashwin N

18 de Mar de 2020

Before learning any BI tools or Visualization library, this course content needs to be known

por Rahul M

7 de Fev de 2018

seemed to me the best course of the specialization

por GANG L

6 de Dez de 2017

Very solid data visualization class for people interesting in visualization. It explains a lot of knowledge under the hood. Not that fit for people who just want to learn some tools and quick skills. It is computer science.

por Andres S

24 de Set de 2018

Bueno para obtener ideas de que hacer, pero necesitas saber programar a nivel basico

por Marcus M F T

26 de Jul de 2017

Very generic ideas, not sure if worth it.

por Trang T L

26 de Jan de 2017

Professor has a soft, easy to follow teaching style but the course structure has several pitfalls:

It gets too theoretical in week 3 and 4 and you really don't need complex algebra or statistics to pass the course but it'd be hard to understand the core matters without them. Week 4's assignment is only a quiz and I think there should have been a project to really test student's ability to apply the learned materials in real situations. Besides, you don't need programming skill to complete the assignments, but it takes a lot of time to learn free, ready-made datavis tools and they are too limited to deliver the outcomes we want.

I think if anyone is serious about learning data visualization, you can't get away with not knowing programming and statistics and those two should be prerequisites.

por Nalini A

28 de Jun de 2017

The course introduces one to more parameters and considerations to account for when building data visualizations than they would probably imagine. From human perception of visuals to 2-D and 3-D rendering to ideal plots for different series of data, the course covers a lot of ground and introduces some very interesting concepts. The programming assignments don't really require programming knowledge if you are able to generate graphs using off the shelf tools. One thing to keep in mind is that although the course suggests you can build a web site or page with your visualizations if desired, the assignment submissions do not allow for the submission of a URL link to a website or a page. Links can however be embedded into additional comments associated with the submission.

por Milorad

11 de Fev de 2018


The course was well organized so that an individual can focus on coursework only. There is enough time to complete the homework and quizzes directly relate to the material (i.e. student is not expected to do much reading outside the course videos). The material is informative and accomplishes the goals stated in the beginning of the course.


Some minor things such as not being able to see the programming assignments very well when grading other's work due to Coursera's UI not designed well for that. Also, the collaboration between students is not as good as it was made out to be based on the emphasis that was given to that by Coursera and course organizers. Not sure if Coursera or organizers can do much more than they have already regarding that.

por Hariharan R

6 de Mai de 2017

Amazingly informative and instructive course. Recommended for beginners, but much highly recommended for people who are already conceptually aware of these things/who're in the line of application of these concepts but need a firmer grasp on the theory and concepts behind depicting data points through a visualization to better architect their implementations. I am one of the latter category, and I've found this course extremely useful in aligning my thoughts and tasks in the right direction :)

por Veronica J M

27 de Set de 2020

Para una persona que no tiene idea sobre conceptos básicos de ingenieria y estadística en curso puede resultar un poco dificil, más no imposible de aprobar. Tiene contenidos muy interesantes, sobre todo en sus dos primeras semanas de estudio. La tercera y cuarta semana para mi representaron un reto y una exploración interesante que me hacen sentir satisfecha por haber logrado terminarlo.

por Pedro H S B

9 de Ago de 2017

Very nice overview for the subject. Great introduction that focuses for every kind of professional interested in data visualization (eg.: programmers and designers, analysts and decision makers). I really appreciate the projects and the peer-review model. It was an amazing challenge and I definitely will take the sequence of Data Visualization courses. Thanks Coursera :)

por José A R N

9 de Jul de 2017

My name is Jose Antonio. I am looking for a new Data Scientist career (

I did this course to get new knowledge about Big Data and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.


Jose Antonio.

por Estella C

18 de Mai de 2020

This is an excellent course to lay the foundation of data visualization. I like the discussion on how to design an effective chart using data-to-ink ratio. Also the contents covers a wild range of knowledge, from human optical nerve system, to the projection of visual image by computer and the leverage of recent technologies to generate complex network charts.

por Soh W K

17 de Jun de 2018

Very interesting course that shows you how to present your data set in a way that you can actually deduce what is going on in one look.I like how Professor John C. Hart had shared with us that we are building Data Visualization Charts eventually for Human Audience, thus, a little bit understanding about the human eyes, ears, brain is good.