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

9,841 個評分
1,478 條評論


"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....



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.


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!!!


1276 - Data Visualization with Python 的 1300 個評論(共 1,472 個)

創建者 Fan B


not good, many typo in the lab instructions, many times the lab wont work out, i think this issue realy needs to be fixed.

創建者 Paweł K


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 Mohammad Q


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 Ramsrinivas A


Part about Maps can be some what more extensive. The Thing taught in Lesson and Assignment does not maps section alone.

創建者 amir s


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 Sowmya S


The course is good. However, instructions, support and details to actually help you learn and understand is useless.

創建者 Mahmoud H


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

創建者 Danila M


Many bugs in the practice labs and the final assignment is a way too far from the material that has been taught.

創建者 Sokob C


It was a difficult course but it could've been better if there were little short quizzes during all the videos.

創建者 Aman R


A lot of techniques have not been covered in the module even though they did show up in the final assessment.

創建者 Henrie E N


The course content and labs are a bit light on context considering the work required in the final assignment.

創建者 Mayank S


Very less detail and seaborn was not covered which is better for visualisation than matplotlib in most cases.

創建者 Jonathon V


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

創建者 Ismail M


So many boring data recap of the same table on each graph. Except Dashboard all others are waste of time

創建者 Nejc M


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

創建者 Laura T


Sería interesante tener un proyecto más ambicioso y que tocara más tipologías de datos para presentar.

創建者 Nicholas F


There were some gaps between the taught material and the final assignment. Overall, I learned from it.

創建者 Jairo S B


The labs could be more detailed, the final project was hard to finish because there was not all info

創建者 PVS S


most of the material explains bits and pieces. Conceptual and Fundamental knowledge is not covered.

創建者 Ouakani A


So far this was the toughest course for me among all the courses in IBM Data Science Certification

創建者 Andrew C


recapping the data set in nearly every video was very repetitive and didn't add any learning value



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

創建者 Ilia


Labs not working properly, you have to look for other options to complete your final assignment.

創建者 Denis R


Some lab instructions and links to files do not work and no real help is provided in the forums.

創建者 Li G


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