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Voltar para Data Visualization with Python

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

4.5
estrelas
9,028 classificações
1,308 avaliações

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

AM
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!!!

SS
20 de Nov de 2019

It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)

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1151 — 1175 de 1,293 Avaliações para o Data Visualization with Python

por Charles J

14 de Abr de 2020

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

por Pedro F

24 de Ago de 2019

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

por Matteo E

1 de Ago de 2019

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

por Spataru N

23 de Out de 2018

Out of all IBM courses so far, I didn't like this that much. IBM should put more emphasis on teaching database transformation.

por Robert T

23 de Jun de 2019

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

por Paweł K

2 de Mai de 2019

Peer grade assignment in this course is far too hard and packed with a bunch of topics not directly covered in the curse.

por Mohammad Q

23 de Ago de 2019

Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself

por Ramsrinivas A

2 de Jan de 2020

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

por Amir S

9 de Set de 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.

por Sowmya S

19 de Fev de 2021

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

por Mahmoud H

4 de Set de 2019

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

por Sokob C

21 de Jul de 2020

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

por Aman R

5 de Jun de 2020

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

por Henrie E N

29 de Mai de 2020

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

por Mayank S

12 de Fev de 2020

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

por Jonathon V

22 de Abr de 2019

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

por Ismail M

17 de Mar de 2021

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

por MNejc

11 de Jun de 2019

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

por Laura T

13 de Nov de 2020

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

por Nicholas F

20 de Dez de 2019

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

por PVS S

15 de Out de 2019

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

por Andrew C

3 de Mar de 2020

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

por SHALINI G

9 de Set de 2019

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

por Denis R

4 de Jan de 2020

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

por Meng L

28 de Jun de 2019

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