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學生對 IBM 提供的 Data Visualization with Python 的評價和反饋

4.5
8,723 個評分
1,235 條評論

課程概述

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

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AM
2020年8月13日

Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!

SS
2019年11月20日

It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)

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251 - Data Visualization with Python 的 275 個評論(共 1,220 個)

創建者 S S A

2020年8月20日

Very well designed course. Clearly explains each module how to do it and then lab exercises gives us pretty good hands-on experience on the concepts we learn.

創建者 Ahmed H M

2020年7月24日

Very good course on understanding scripting layers and artist layers, as well as going over all basic graphs and advanced graphs. It was definitely rewarding!

創建者 Giuseppe P

2020年8月13日

It's an excellent data visualization course with Python, which is supported by external tools promoting knowledge and practice of what is seen in the course.

創建者 JUAN J T R

2020年6月26日

It's an excellent data visualization course with Python, which is supported by external tools promoting knowledge and practice of what is seen in the course.

創建者 Bryce Y

2020年2月3日

This course was presented in a way that challenged me more than other courses in this program. I was very happy to have been challenged to think critically.

創建者 Keerthi K A M

2020年8月7日

The assignments carry some general templates for data visualization. Downloading jupyter notebooks of them helps me when i visualise some othe data. Thanks

創建者 Jeevan K J

2020年5月18日

Among all the other courses in IBM Data Science, I liked how this course emphasized on the practicals while giving a good idea in the videos. Thank you Sir

創建者 Vijayalakshmi K

2019年7月27日

Lab materials are really good.. and the assignments in the course need additional research than the learning available in the course which is really good..

創建者 Heraclio R

2018年11月4日

Really like it, the maps are not working in MS Edge, and took me a lot of time to figure out, those thinks would be great to be announced in the training.

創建者 Hieu D T

2020年10月17日

the content is new and interesting to me personally, however some sample codes are now deprecated so you'll have to read the doc from PyPI of the package

創建者 Karl J

2020年2月23日

I had a good idea of basic statistical plots, but this course actually shows you how to make them attractive and effective for presentations and reports.

創建者 Carlos N J

2020年1月13日

Lots of in-depth labs. However, final assignment required some techniques that were not covered at all, so the difficulty was much higher than expected.

創建者 Juliet M J

2019年10月27日

A very good course! The Jupyter Notebooks are structured perfectly to follow the steps and action without difficulties. Had a great learning experience!

創建者 Danijel S

2020年12月28日

Thanks for the well-explained and comprehensible introduction to Data Visualization with Python. The best thing about this course was the lab sessions!

創建者 Kuber B

2020年8月7日

The course is designed very well and each topic is explained in easy to understand manner. Also the labs are very well designed to clear the concepts.

創建者 prakriti p

2020年3月23日

I liked the assignment presented by the course. I learned from solving the problems. The constant error with the lab problems discouraged me at times.

創建者 Gregor H

2018年10月10日

The tutorials are brilliant and very useful! Make sure to complete them and you will get an extremely beneficial intro to several visualisation tools.

創建者 Bakari D

2019年7月28日

The project was well done. To be successful you have to complete the labs. The lab materials are a really good balance between practical and theory.

創建者 José E S V

2020年8月8日

Realmente un curso muy practico para aprender sobre todas las herramientas y librerías que ofrece Python para la visualización de datos.

Recomendado

創建者 Venkat N N

2020年11月30日

Very good entry point into data visualization using Python. Found associated labs and assignments to be very helpful in reinforcing the concepts.

創建者 SACHIN G

2019年10月11日

The course is made in very simple language, anyone can learn from this course. The most amazing part of the course is Lab. Love you IBM & COURSERA

創建者 lara l

2020年6月30日

the teacher of this course has made great designs and offered rich resources to students. I personally like his teaching style a lot. thank you!

創建者 Familusi O A

2020年4月16日

Amazing challenge for enthusiastic learner, i would definitely reference the course materials several times more just for its depth. Thank you.

創建者 Sachin K K

2020年5月29日

The course is brief and to the point and is providing you with great practical work to get a hands-on practice to make you ready for the world.

創建者 Ravindranath R

2019年12月20日

Very clearly explained and lab is excellent. Like the style of providing description of datasets used in each lab. Thanks a lot to instructor.