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

4.6
3,694 個評分
403 個審閱

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

MS

Jul 30, 2019

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

RL

Aug 08, 2018

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

篩選依據:

351 - Data Visualization with Python 的 375 個評論(共 400 個)

創建者 Everett T

Jul 10, 2019

1) Quite a lot of contents of the final assignment are not covered in labs/videos

2) Huge portion of videos is redundancy and repitition

3) Labs cannot be exported to HTML

創建者 Chaohua L

Jul 17, 2019

I would recommend that there should be more contents in the lecture videos and the lab sessions. It would be good to have more practical tutoring on the code. for example, in the lab it only mentioned how to do annotation on an ungrouped bar chart, but the assignment requires to annotate on a group bar chart, which is hard when i just followed the lab steps, and i ended up doing hours of searching, alghough it's a helpful process. So it will be good if the course can add more details on different methods of using the libraries that were covered.

創建者 Pablo D B

Jul 20, 2019

I had many issues when people marked my final assingment. Maybe the indications should be clarified. For example some people didn't gave me the points for not showing the dataframe with the rows in the same order, although all the rows were respectively correct.

創建者 Matteo E

Aug 01, 2019

The way topics are explained during lectures are not enough deeply treated for the final assignment. It is anyway interesting.

創建者 Lin W

Aug 03, 2019

The course content does not sync up with the assignment, you need to self-study about many other materials to get the certificate.

創建者 Drew K

Aug 03, 2019

Disappointed with this module. The Labs would not execute and had issues. Throughout the course there is a request to advise of errors (including spelling errors) or problems in the modules or content. I don't understand how entire Labs cannot execute, due to the starting cells not running. I logged a few issues (that other participants encountered too, backing up my issues) and had responses after a few days saying there were "fixes", but you had to run x/y code ..... This still proved difficult. I think the fundamentals definitely need addressing (modules/labs that run). The videos (teaching) are very good however. Thank you.

創建者 Yash M J

Aug 07, 2019

A lot of the code in the jupyter notebooks wasn't explained in detail

創建者 Gloria S

Aug 15, 2019

too basic

創建者 Claudia R C

May 10, 2019

The course is nice, but there are several issues that could be easily solved:

Some of the notebooks on JupyterLab were not working (e.g. "exploratory...").

On the final assignment page there were some bugs regarding the upload (i.e. question 3)

The videos in week 5 were too condensed and resulted hard to follow.

創建者 Nguyen T V A

Jun 01, 2019

Labs are very difficult and hard to follow. There is a big gap between what we learn from the videos and what we are asked to do in the Labs.

創建者 Lyn S

Aug 19, 2019

This really isn't a class, it's a lab, and that would be fine, but we have to watch a few one-two minute videos that should not exist - they are meaningless and waste of time and just end up saying - make sure to do the lap. Delete the short videos and just say - do the lab. The content of the class is very simple, which is fine, and this is one of the classes that doesn't create a very difficult exercise as a test (yea!). Although I will say for me, it took me hours to figure out the box plot, the little no-line nuances, etc. I don't know if was easy and I just could not find the right commands and parameters. All in all not a bad class - because WOWOWOWOIEE - I had no idea making stunning maps was so easy.

創建者 Mohammad Q

Aug 23, 2019

Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself

創建者 Pedro F

Aug 24, 2019

Video explanations and difficulty of the assignments don't match. Unnecessary long and tedious exercises. Needs to be revised.

創建者 Awab A

Aug 30, 2019

The part of using the artist layer is a little ambiguous. Now after I finished the course I don't feel that I know clearly the difference between using the artist layer or using the scripting layer. In both cases we use plot function of a dataframe.

I think dedicating a week or more to discuss the actual functions and the way of using the matplotlib library may be better than previewing more visualization options like waffle chart and word cloud.

創建者 Mahmoud H

Sep 04, 2019

The course is really good, but Matplotlib is not popular now. Plotly is trendy and more interactive than Matplotlip

創建者 SHALINI G

Sep 09, 2019

The final assignment is more difficult compared to what is taught in the videos and lab sessions.

創建者 Amir S

Sep 10, 2019

In general, it was a good course.

Some of the quizzes were very much based on syntax which I don't think is very useful.

創建者 Daniel R

Sep 14, 2019

Instruction to prepare for the final project was insufficient.

創建者 Zhichen S

Feb 23, 2019

Videos and Labs do not fully prepare me for the final assignment. The course material could certainly expand a little.

創建者 Anna K

Mar 04, 2019

There was no course material teaching us how to do one of the tasks for final assignment

創建者 Jan D

Oct 06, 2018

No Instructors helping out. Little is learned... Not worth taking.

創建者 Anita L

Apr 30, 2019

more examples in the lab for the most popular chart types is appreciated.

創建者 Deepak N

Apr 19, 2019

Needs better and more elaborate explanation. It's too tough to understand and execute.Thanks!

創建者 Panos P

May 02, 2019

The final project was way difficult. Which is fine, difficult is fine, as long as the knowledge on how to solve it is provided by you in the lecture notes\videos\lab sessions. I mean that is your job right?

創建者 Gilles W

Apr 09, 2019

Videos are so so, the same introduction for all videos with 2 minutes of data formatting, which is exactly the same in all videos, leaving only few minutes at the end of the vid's for the content of the lesson. The examples in Jupyter were interesting but not very well structured. At the end, I better used Google and Pandas documentation to solve problems and learn about the topic. Not a bad lesson, but there are just more effective way to learn in my opinion.