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Voltar para Data Visualization with Python

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

4.5
estrelas
10,695 classificações

Sobre o curso

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....

Melhores avaliações

LS

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.

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!!!

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1401 — 1425 de 1,631 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 Fan B

4 de jan de 2022

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

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 Danila M

20 de ago de 2021

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

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 A

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 Peter

5 de mar de 2022

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

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 Jairo S B

13 de mai de 2021

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

por PVS S

15 de out de 2019

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