Chevron Left
Voltar para Data Visualization with Python

Comentários e feedback de alunos de Data Visualization with Python da instituição IBM Skills Network

10,265 classificações

Sobre o curso

"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....

Melhores avaliações


27 de nov de 2018

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.


13 de ago de 2020

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!!!

Filtrar por:

1301 — 1325 de 1,553 Avaliações para o Data Visualization with Python

por Kailas K

14 de out de 2019

The videos are very short compare to exercise covered. Assignment gives overview of how much deep the coding can go but video should be elaborating few aspects of layers of matplotlib.

por Dr S K

29 de out de 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

por Carol L

15 de jan de 2020

Me pareció super interesante el curso, pero los videos muy cortos dejando todo el material para el lab, y el final assigment con solicitudes que no fueron explicadas durante el curso.

por Rajrishi N

9 de ago de 2020

I am unable to reset the timelines for this course. I missed the timeline due to an emergency and the course is now frozen and I am unable to complete it. Please unlock the course.

por cc

13 de dez de 2021

Great content but hard to follow at some point. Lab is very unstable. Final peer review project is not appropriate and did not use the most common data visualization techniques

por youtian p

22 de dez de 2021

I think the final project should add more difficulty and tasks. Or provide the option to choose the difficulty level base on the learner's python and data science experience.

por Jessica U

20 de mai de 2020

The assessments are a little silly- the quizzes trip you up on minor syntax instead of being concept-focused, and the final assignment used some skills that weren’t taught.

por Everett T

10 de jul de 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

por Alex M

6 de dez de 2020

The instructor provided lots of useful code, but the final assignment is unnecessarily difficult because the required code customization was not covered in the course.

por asher b

27 de nov de 2018

Course was pretty good, except... The final project was too much of a stretch, had to google too much to figure stuff out that wasn't in the lectures or practice labs.

por Claudiu I

23 de set de 2021

The lab excercises are too time-consuming, for reasons unrelated to the course material. I found it hard to simply run the programs in the development environment

por Kristine M

31 de mai de 2021

T​he final project needs some review and updating. It was a frustrating couple of hours to try and get it working. I finally got it half way working and gave up.

por David C

17 de mar de 2022

The course starts out great with some insight into Matplotlib but gets very hung-up on Cognos and Dash and approaches something similar to Java web development.

por Courtney G

15 de mai de 2020

The final assignment required knowledge that was not thoroughly explained in the videos and labs. Some of the practice labs could use more/better explanations.

por Baptiste M

4 de nov de 2019

Overall a good review over the different graphs, yet the course feels wonky in the flow of this courses covering stuff already studied and staying on surface.

por pooja j

30 de jun de 2021

week 4 - no outtput received in dashboard in new window plus only errors received in jupyter notebbok even after copy paste of solution in entire week 4 labs

por Juan i B

3 de jul de 2020

Final Assignment covers many aspects that weren't explained in the classes. Meanwhile, every video repeats the same data management segment over an over.

por Soh J

19 de mar de 2020

Some of the content tested in the assignment is not covered by the lessons, staff is not fast and helpful in answering questions from students

por Stan M

18 de ago de 2020

Great course, very bad exam. Most of the stuff in the exam was impossible to do using the classes. Level of the exam was way too difficult...

por Nguyen T V A

1 de jun de 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.

por Liezl M

31 de jul de 2022

The topics were not discussed in enough detail. It required me to do a lot of additional research online to actualy understand the concepts.

por Jingjing L

4 de fev de 2021

The final exam is way too frustrating as some content isn't covered in the course, especially about modifying the key for the last question.

por Tsungai J M

25 de out de 2019

There some information gaps in the labs and lectures that made the assignment quite challenging without seeking further external knowledge.

por Kevin G

18 de out de 2020

While the classes are interesting, the course should be updated.

Folium version is 0.11 now, not 0.5 anymore, and there is lots of changes.

por Tania P

16 de ago de 2022

The labs need to be improved. They were had to follow and there was a lot of trial and error involved in order to complete the course.