Chevron Left
Вернуться к Визуализация данных

Отзывы учащихся о курсе Визуализация данных от партнера Иллинойсский университет в Урбане-Шампейне

4.5
звезд
Оценки: 1,289

О курсе

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....

Лучшие рецензии

GC

16 нояб. 2020 г.

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.

MK

5 апр. 2018 г.

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.

Фильтр по:

226–250 из 292 отзывов о курсе Визуализация данных

автор: Eyes R

24 мая 2019 г.

Helpful course. It provides some useful visualization strategies and a few techniques in an understandable format.

автор: Gary C

7 июня 2017 г.

A solid review of core concepts in data visualization. Good inspiration for further, more in-depth learning.

автор: manijeh k

23 авг. 2021 г.

I have learned Tableau software and Python to do the assignments and It was really useful for me.

автор: Gerardo C C

10 мар. 2018 г.

A lecture video is missing, it seems like months since it's been like this. Please FIx It!

автор: Dora

25 сент. 2020 г.

It may be a little bit difficult for beginners who cannot program like me.

автор: Christopher T

5 янв. 2022 г.

well built course with engaging information; not overwhelming.

автор: S S

28 февр. 2020 г.

The content regarding network analysis could be more detailed

автор: Lerata M

15 мар. 2021 г.

Good course but, a little bit tricky for non programmer.

автор: Mohit S

19 апр. 2020 г.

Would have liked a technical approach to learning as well

автор: Duke

29 февр. 2020 г.

A good guide, but still lacks course fun and practices.

автор: Scott C

6 июля 2018 г.

Very easy to understand presentation on visualization.

автор: HICHEM B

30 нояб. 2020 г.

thank you, it's really strong theorical understanding

автор: Lee M

11 сент. 2020 г.

Great course to understand how to let the data speak!

автор: Shuo J

23 мар. 2019 г.

some assignments are boring. but in general, its good

автор: ALDELIR F R

19 мар. 2018 г.

It is a great course for introduction on the subject.

автор: Jason M H

5 нояб. 2016 г.

the third week requires learning a software package.

автор: AJETUNMOBI O

1 мая 2017 г.

Breaks down all complexity in Data Visualisation

автор: To P H

2 мая 2019 г.

Some interesting visualization concepts

автор: Yongyi Z

13 июня 2018 г.

Learning curve is too steep in week 3.

автор: Zheyan S

17 июня 2016 г.

Quite clear, good for introduction

автор: Suketu B

27 янв. 2018 г.

Good intro to data visualization.

автор: Hyun J L

30 мая 2017 г.

Was fun, and informative indeed!

автор: Augusto R G

7 июля 2019 г.

Great course, very good format!

автор: Alec M

10 мар. 2017 г.

I wish for more hands on work.

автор: Liu S

16 авг. 2018 г.

Maybe more practical skills.