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Avis et commentaires pour l'étudiant pour Data Visualization with Python par IBM

4.6
3,832 notes
420 avis

À propos du cours

"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....

Meilleurs avis

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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351 - 375 sur 416 Examens pour Data Visualization with Python

par 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.

par 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.

par Roshan P

May 05, 2019

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

par Jonathon V

Apr 23, 2019

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

par Debra C

Mar 24, 2019

Course was okay, not great but worthwhile.

par Nejc M

Jun 11, 2019

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

par Nuttaphat A

Jun 18, 2019

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

par 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.

par Robert T

Jun 23, 2019

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

par ADIL J

Jul 01, 2019

Can be better

par Meng L

Jun 28, 2019

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

par Vinayak R S

Jul 09, 2019

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

par 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

par 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.

par 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.

par 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.

par 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.

par 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.

par Yash M J

Aug 07, 2019

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

par Gloria S

Aug 15, 2019

too basic

par 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.

par 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.

par SHALINI G

Sep 09, 2019

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

par 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.

par 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.