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

4.6
4,443 個評分
489 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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451 - Data Visualization with Python 的 475 個評論(共 484 個)

創建者 Thais C C M

Jul 24, 2019

Some of the questions on the final assignment questions were not covered on this course.

創建者 Adam H

Jul 25, 2019

Had some problems with changes to the interface that caused quiz questions to become unreadable. Also found some of the discussion around artist and scripting layer in matplolib difficult to follow. Could have done with more explanation.

創建者 Jayesh M

Jul 29, 2019

The course content is good and well covered. However, in general, I would have expected less of Matplot and more of Seaborn. Seaborn is easy to learn.

創建者 Joshua T

Aug 03, 2019

Need to be clearer

創建者 Derek A

May 07, 2019

Had to google a lot of my problems with the lab projects. Information should all be in course for projects.

創建者 Pokkunuri S C

Aug 23, 2019

The videos had low sound quality, almost all videos had same recording for initial 2 minutes which was unnecessary. The final project had use of many such functions which were neither discussed in the videos nor explained in the Ungraded Tools.

創建者 Sarah W

Aug 26, 2019

The class is beneficial as it allows you to understand how to create visualizations of your projects. However, the final project for this class was very hard to understand. A lot of the parts that were expected to be completed were no where in the videos or labs. In the forum, you could tell because a lot of people were confused about the same stuff. Others and I ended up using other sources as a way to get the results Coursera was wanting, rather than what Coursera taught us.

創建者 Johannes W

Aug 30, 2019

The videos were unfortunately pretty useless. At least half of the time the respective dataframe was processed (but always in exactly the same manner... zero information about the actual new concept). In addition the videos were too short and the really important new concepts were only introduced by quickly showing the code snippets. There was often no explanation of key concepts. Unfortunately, overall one of the weaker courses on Coursera. The Data Analysis Python course is much better and explains similar concepts.

創建者 Aniruddha P P

Sep 21, 2019

The course can be made much more better. The final course assignment wasn't much based on the things that were taught during the course. Example could be using the labels above the bar.

On the bright side, the contents were really good. Thanks to the instructors! :)

創建者 Steve K

Oct 20, 2019

Almost all videos included the same bit about getting and reframing the data. This was a significant portion of the videos as well.

There seemed to be more confusion around the final assignment judging by the amount of questions in the forum. The assignment needs to be rewritten or made more clear.

創建者 Dave H

Feb 12, 2019

Material was good, videos were not. Poorly produced with noticeable track/volume changes within videos. Instructor was very bland and continually repeated himself.

創建者 prattya d

Aug 03, 2018

Very few guidelines to complete assignments

創建者 Ali A

Sep 05, 2018

It was so shallow. Just mentioned everything without going a little bit deeper.

創建者 Ubaid M W

Oct 22, 2018

In lab there are many funtion , libiraries Which have been used first time with out any description , then I have to search for each and every funtion or lib which is way time consuming which make this course worst courses in my list.

創建者 Ali M R H

Oct 24, 2018

The course was not well organized. The instructor focused on providing very advanced content rather than simplifying the conpects in order to make it easy for the student to digest, and follow. In many times i had to search online to understand the content. Even in the final assignemt, it was asked to use many functions that was not itroduced before, and the attached files that were needed to answer the questions came with errors, and i had to search in stockoverflow to solve the attachments problems.

創建者 Michael R

Aug 31, 2018

No support from moderators, plenty of typos.

創建者 Slim S

Dec 02, 2018

No documentation, no summary

創建者 Syed A

May 02, 2019

very little instruction from the course tutor. many of the links did not work and had to trawl through forums to find the new link. poor course delivery for a very important topic

創建者 Clinton R

Jun 21, 2019

so far ive spent the most time on this course . This course has around the shortest estimated time to complete. The number of discussions in week 3 is around 5 times more than the Python for Data Analysis course.... why we may ask?

The plotting of views are overly dependent on syntax. The information gain in trying to figure out that syntax is negative, i.e. up until this course i was enjoying my first experience with python. 12 hours later, i cant get a chloropleth chart to work because something as minor as column orders were incorrect. Very frustrating!

That said, perhaps im spoilt. Im a tableau user and its fairly straightforward to do data visualisation. It is rewarding. and flexible.

The bar is thus set, and so far data viz in python is frustrating.

創建者 Timothy H

Jun 30, 2019

The videos are chopped together and the end-of-section quizzes are full of "gotcha" true/false questions and incomplete questions that will cause you to fail and wait the 8 hours until your next try.

The content is lackluster, the videos are cut together with differing audio quality, and the presenter couldn't sound more bored.

Not a good course. I just want to get through it to finish the specialization.

創建者 Ruben F S A

May 22, 2019

only course i actually didnt like. incomplete and it was easir if obly send us to cognitive labs directly, the difference is that cognitive labs are free.

創建者 Eduard C

Jul 16, 2019

One should take another course on coursera to pass the final assessment since the tasks are not covered in the course.

創建者 vicky t

Jul 24, 2019

worst course please update the lab pls

創建者 Karan S

Jul 30, 2019

Arguably the worst course in IBM certification. There were problems everywhere. The code boxes weren't loading in quizzes. The overall peer guided assignment was a nightmare since they were demanding the part which was not even taught. To sum it all up, peers checked my assignment incorrectly. The assignment grade calumniation took so long than usual. Keep in mind I've done previous courses in this IBM professional certification.

創建者 oguz o

Aug 11, 2019

by far the worst course of the whole certification program. Carelessly prepared content. Full of typo and mistakes. Quiz results are not even consistent. Different answers for the same question is considered wrong. If a question has two possible answers as multiple-choice, the answer should be one of those, right? Many of the videos are repeating each other. Very little information. Waste of time and money. If there was another way to get this certificate without taking this visualization course, I would pick that way.