Chevron Left
返回到 Data Visualization with Python

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

4.5
10,074 個評分
1,525 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....

熱門審閱

LS

2018年11月27日

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.

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!!!

篩選依據:

301 - Data Visualization with Python 的 325 個評論(共 1,522 個)

創建者 Jeevan 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 Manoj M

2021年4月1日

Good Course to understand the topics of data visualization and dashboard creation using Python libraries such as Matplotlib, Seaborn, bokeh and Plotly

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 Sivamurugesh A

2021年5月22日

Its a great course for learning visualization techniques in python. Lot of practical exercises are given with explanation of all. Enjoyed the course.

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 Mish0081

2021年1月31日

Thoroughly enjoyed this course, and find it super valuable!! I highly recommend this to anyone looking to build data visualization skills in Python.

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 Aryan 9

2021年6月21日

This has been the course that I not only learned alot, but enjoyed alot as well, creating web apps and interactivity was so satisfying, loved it!

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

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.

創建者 Chandra s r

2021年1月6日

Hands on is the best way for a developer to accomplish a coding course. This course forces hands on exercise which is best about this course.

創建者 Thanh N N

2019年3月15日

Nice course. It is short video, but well-composed ones. I love labs, it focuses on key points of visualization. I learned a lot here. Thanks!