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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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1526 — 1550 de 1,631 Avaliações para o Data Visualization with Python

por Montserrat C

8 de jul de 2021

This course is too long for only one week. If you want to learn well all this matter you need more time.

Besides the material of the course didn't help too much, in fact, sometimes it makes you hesitate and be wrong

por Sascha T

19 de set de 2022

A lot of the learning was left to outside sources and websites, none of the labs worked properly and overall just poorly organized module from a normally well taught professional certificate.

por sayaka .

27 de mai de 2021

Interesting course that gives a good overview of the possibilities to visualize data within Python. Unfortunately there were many lab issues so that it was challenging to complete all modules.

por Trevor S

11 de abr de 2021

Week 4 appears to be slapped on and the content isnt refined. Lab isnt really a lab, more of a non working coding example. Final project is... absolutely horrific and needs to be revised.

por Olivia V

18 de dez de 2020

Very disappointing. Course is uneven, either too shallow or way too complicated. Final assignment, especially, is about material not detailed in the course. Many technical issues.

por Ali Y

6 de fev de 2023

The firs 3 weeks we too good i really appreciate that but the fourth week were extremely bad.

The fourth week has no translation , a lot of problems on labs .

Thank_you.

por Alexander F

28 de mai de 2021

Exercises have a chaotic layout. Course it's self is ok, technical support is good, but compared to the previous courses this one does not hold up in quality.

por Muthanna A A

28 de mai de 2020

The videos were very poor, and the methods given in the labs assignments did not cover some types of questions that were asked in the final assignment.

por Jayesh M

29 de jul de 2019

The course content is good and well covered. However, in general, I would have expected less of Matplot and more of Seaborn. Seaborn is easy to learn.

por Nagulan B

22 de fev de 2020

Very Irritating. Absolutely no guidance for the Assignment Questions which were not covered in the videos labs also. Wasted 3 days on the assignment

por Adriel T

30 de jul de 2020

The videos were repetitive and the final required a lot of outside research/information since the content was not covered in the course.

por Clay S

18 de dez de 2020

The general content was good, but did not review all of the skills needed for the final exam. That made the final very frustrating.

por guanyu w

12 de ago de 2020

Very perfunctory video teaching, a lot of content in the lab needs to be Googled by urself

they teach nothing but give u the code

por Lee L

8 de set de 2020

The course videos, lab, and assignments do not really align in my opinion. I expected to learn more from the IBM's DS series.

por İdil K

3 de out de 2020

The course material is not comprehensive enough and the final assignment is too hard for the things taught in the course.

por ROHIN K

5 de abr de 2020

The annotate function is not explained in the course making it very difficult, so please add more material on the same

por Zhichen S

23 de fev de 2019

Videos and Labs do not fully prepare me for the final assignment. The course material could certainly expand a little.

por Kirstie A

16 de abr de 2021

The final assignment took forever to complete as the code wouldn't run correctly. The advice given wasn't sufficient.

por Paulo P S D

21 de fev de 2020

Audio with noise and distractions. Irrelevant quizzes, and final assignment with topics not well explored in classes.

por Derek A

7 de mai de 2019

Had to google a lot of my problems with the lab projects. Information should all be in course for projects.

por Marcello D

29 de abr de 2021

so bad everything, not enough training for the peer graded final assignment. worst module ever.

Marcello

por Tan G T R

29 de jul de 2020

Assignments seem to be quite a huge jump from the course material. Otherwise pretty succinct course.

por Sam S

30 de abr de 2021

This was the most complicated to understand out of all of them, at least the final project was.

por Logesh K

9 de mar de 2021

The final assignment was not straightforward. It doesn't check the visualization capabilities.

por Deepak N

19 de abr de 2019

Needs better and more elaborate explanation. It's too tough to understand and execute.Thanks!