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Вернуться к Data Visualization with Python

Отзывы учащихся о курсе Data Visualization with Python от партнера Coursera Project Network

4.5
звезд
Оценки: 244
Рецензии: 42

О курсе

Visualizing data is used by virtually every discipline these days. It is used for analyzing web traffic to determine peak server load, growth and death rate of populations for biological analysis, analyzing weather patterns over time, stock market trends, and so on. Simply put, Data Visualization brings meaning to numbers that help people understand it. Seeing the data change can draw attention to trends and spikes that may otherwise go unnoticed. Python is an open-source (free) programming language has libraries that can be used to read and make useful graphics to present the data. In this course, you will create an application that reads data from CSV files. You will learn how to visualize the data using various techniques using existing Python libraries. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Лучшие рецензии

KD
9 июля 2020 г.

It is a brilliant introductory course for someone who is just beginning to learn using pandas and matplotlib.

SZ
15 июля 2020 г.

Good and fast course/project, you'll learn a lot in an hour, if you already know basics of python.

Фильтр по:

26–42 из 42 отзывов о курсе Data Visualization with Python

автор: Muhammad M

25 дек. 2020 г.

informative

автор: Saurabh S

18 июня 2021 г.

just right

автор: Doss D

24 июня 2020 г.

Thank you

автор: Md. M

22 июня 2020 г.

Great!

автор: Kamlesh C

20 июня 2020 г.

Thanks

автор: Vignesh V

29 июня 2020 г.

good

автор: tale p

28 июня 2020 г.

good

автор: Aravindhan A

10 сент. 2020 г.

Good for beginners to learn data visualization. Not recommended for people already heard the word(Just see their official website about scatter plot, joint plot and heat map).

автор: Heinz D

22 нояб. 2020 г.

Short precise intro to data visualization with Python. The lecturer's competency is high, I'd prefer a bit more motivation from him.

автор: Arshiya T

4 авг. 2020 г.

session needs to be extended for a longer time,It was a good experience..:)

автор: Mohamed A D

4 дек. 2020 г.

That was very interesting and eye-openning

автор: Idris E A

31 янв. 2021 г.

good but too short

автор: Bhavesh J

6 июля 2020 г.

Informative

автор: burak f

20 июля 2020 г.

easy level

автор: Mehedi H

23 июня 2020 г.

Not good enough. Need more visualization technique.

автор: Korpong S

3 июля 2020 г.

poor audio, system hard to work with but the content is good

автор: Jorge G

25 февр. 2021 г.

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously.