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

4.5
10,082 個評分
1,527 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:

1101 - Data Visualization with Python 的 1125 個評論(共 1,522 個)

創建者 Hassan H

2019年9月8日

Some of the lab exercises were not available online/was having problem accessing them.

創建者 Yeh Y J

2020年1月18日

will be good if the module can elaborate more on how to add data label as annotation.

創建者 Saurabh G

2019年8月7日

Good course. I wish they had more details on how the layers in the Geo charts worked.

創建者 Gajula J

2018年7月26日

nice course but needs few improvements, screen recordings needed rather than slides.

創建者 Alex P

2020年7月27日

The data processing in the assignment could align more with the examples provided.

創建者 Askhat A

2020年4月1日

Some minor issues regarding e.g. Folium installation (mentioned in Forum section)

創建者 Shawn F

2019年1月9日

assignments are using too many techniques which tutorial videos are not included

創建者 Michael L

2021年2月26日

Provided foundational information to work with data visualizations with Python.

創建者 Kiran V K

2019年10月27日

No proper Lab Instructions. But was a good course in terms of topics covered.

創建者 Guy P

2018年12月10日

Very good course but labs contained many typos which were sometimes confusing

創建者 Abeer K A

2020年9月20日

very good in explaining an introduction in data visualization with python .

創建者 Brijesh O

2020年5月10日

Need more methodic explanations on the key functions and parameters , kwarg

創建者 Gustavo P F d X

2020年3月23日

There are some problems with the labs according to installation required.

創建者 Prashant S

2019年4月4日

The last section of advance Visualization lab could have been more better

創建者 LAURA T G

2020年2月17日

Mmany mistakes that make the studentsd work and stress more tan required

創建者 ARCHANENDRA S

2019年12月6日

Excellent study material and brief description of visualization concepts

創建者 Apoorv T

2020年7月30日

the spatial analysis is new to me and want more detailed study chapters

創建者 Diego A P

2020年12月6日

A broad range of visualizations explained fast and straightforward.

創建者 Alvaro F

2019年3月18日

It would be good to make another section only for seaborn or bokeh

創建者 anish k

2020年8月20日

Good enough to learn basic skills of data visualization library.

創建者 Carlos A

2020年5月6日

Felt like there could be more information in the last week lab.

創建者 Kang R K

2019年11月5日

short course but learn useful python package Folium efficiently

創建者 Mohit S C

2022年3月10日

This course is so much benifical for me to visualize the data.

創建者 William O

2020年4月28日

Thanks for the content of this course. I really learned a lot.