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

4.6
3,340 個評分
362 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!

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301 - Data Visualization with Python 的 325 個評論(共 356 個)

創建者 Amirhoshang H D

Apr 02, 2019

All videos have one minute content in common.

創建者 Fabio B

Mar 15, 2019

Too basic

創建者 Pablo V V

Mar 18, 2019

More exercises pleases. I need more practice. Please answers discussions.

創建者 Spataru N

Oct 23, 2018

Out of all IBM courses so far, I didn't like this that much. IBM should put more emphasis on teaching database transformation.

創建者 Steven T

Oct 27, 2018

Overall a good course, especially the final assignment is well done. However, there is too much focus on the class labs and practically no effort put into the videos. Within the class labs there are only comments as reference to how and why something is done which often lacks proper explanation (e.g. what the called methods in a chart mean, how loops are used to fit data etc.)

創建者 Dr S K

Oct 29, 2018

Again I cannot access the cognitive class ai and this has truly hindered my learning experience. I cannot open any jupyter notebooks nor can I submit any assignments, This is really bad

創建者 Manuela G

Nov 19, 2018

The course itself was good.

Unfortunatly it was not clear at the beginning, that the "Data Analysis Module" is a pre-requisite. After struggling with the lab of week 3, I found out and took the Data Analysis Module. I tried the lab again - meanwhile the first part has changed - the file was not in the same structure. So, the code I wrote before was worthless. Took a while to figure this out.

Then in CC Lab the "conda install" did not run - neither in the lesson, nor in the lab - therefore I spent many hours struggling to find this out - didn't know, if it was my coding.

It would be good, to improve those "organisational problems". That's why I only gave 3 of 5 stars. It did cost me a lot of time.

The content and lessons and exercises and the lab itself is very good and interesting. Also the amount and speed, very good to handle besides a full-time job (if everything works ;-) ).

創建者 Pawel K

May 02, 2019

Peer grade assignment in this course is far too hard and packed with a bunch of topics not directly covered in the curse.

創建者 Roshan P

May 05, 2019

It could have more explanation and content. Everything else is good.

創建者 Marnilo C

May 04, 2019

This course had several areas where it could be improved: (1) The Final Project was made much more difficult by requiring the students to use skills which were not taught in the course. This seems to defeat the purpose of testing, which is to test what was learned. (2) The course should have contained content which explains when it is more appropriate to use the specific types of visualizations.

創建者 Kevin O

Apr 19, 2019

None of the labs data imports worked. The majority of the video content said to take the time to really learn the topics via the labs. The final assignment data sources worked, so at least that could be completed. Paid courses really need to have external dependencies reliably available or updated.

創建者 Jonathon V

Apr 23, 2019

Some of the notebooks given did not function correctly, overall did not ruin the learning experience thought.

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 Nejc M

Jun 11, 2019

More information about Plots, charts and overall things could be provided in the videos - on the slides.

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 Nuttaphat A

Jun 18, 2019

At least, this course is way more useful than the others.

創建者 Pouyan K

Jun 23, 2019

The final exam is really vague and not organized. It would be a much better course if the instructor made exam in the JupyterLab like other courses. Also, the videos are not very comprehensive.

創建者 Robert T

Jun 23, 2019

Not all of the tutorials rendered correctly. Information was good. Would have preferred more questions throughout the videos.

創建者 Meng L

Jun 28, 2019

I like the lab work but the jupyter notebook is so low to work with creating the Choropleth map.

創建者 ADIL J

Jul 01, 2019

Can be better

創建者 Vinayak R S

Jul 09, 2019

Course design could have been better.Still a good course.Had to research a lot for this Course.

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.