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

10,688 個評分


One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions. You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash....




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!!!


1401 - Data Visualization with Python 的 1425 個評論(共 1,631 個)

創建者 Charles J


Actually I think the final assignment part 1 is too difficult for the videos and lab courses to draw the bar plot as required.

創建者 Pedro F


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

創建者 Matteo E


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

創建者 Spataru N


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 Robert T


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

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 A


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 MNejc


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

創建者 Peter


quite easy to make final assignement as almost everything was prefilled. So i didnt need to think much

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.