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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
10,688 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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1151 — 1175 de 1,628 Avaliações para o Data Visualization with Python

por Aravindan N

9 de ago de 2019

Excellent lab materials. But the presentations can include a bit more contents to explain the packages better.

por Asavari P

2 de fev de 2021

The course was very informative, but seemed a little fast paced. A few more practice assignments would help

por Patrick M

18 de jul de 2019

Videos were not helpful in learning the different visualizations you could make but the notebooks were.

por Sili L

1 de mai de 2019

The class is too short to get into much details. The projects are much harder than those practice labs.

por Charae G

13 de abr de 2021

Other than the issues with the final assignment, I found this to be a very challenging but fun course.

por Ninad M K

18 de jul de 2020

This course was good and gives me a clear understanding of how to use data visualization with python.

por Nicholas J F

27 de mai de 2019

Good content, but again, in the final problem resources beyond the scope of the course were required.

por Muzamal A

25 de abr de 2020

I just wish instructions were given more in details in the video rather than giving only assignments

por Thomas F

11 de out de 2019

Not great audio on the vidoes, but an excellent introduction to many python visualisation techniques

por Akil

29 de jun de 2020

the final assignment was a bit more complicated than the labs and I had to look online for support.

por Nikola S

29 de jul de 2021

In general, a good course. Some videos could be updated and there is some unnecessary repetitions.

por Xiao K

24 de dez de 2019

The course itself is very useful, but the content in some of the lectures may need to be updated.

por Adrian A

2 de abr de 2022

Good content.

Note: assignment submission of answers into the format requested - time consuming.

por Daniel S d l G

25 de jan de 2021

Some hands-on are more difficult than expected according to the level of examples on the course

por Liam M

23 de jan de 2019

Really helpful, but some of the more complex topics are glossed over and require extra reading.

por Jesse Z

18 de jun de 2019

Final project required a bit more google searching than I'd expect from an educational course.

por Shivam S

15 de dez de 2020

Overall course was good, if more exposure to coding were provided than it can benefit a lot.

por Mujeebullah Y

23 de out de 2019

Overall, the courses need more explanation of the code used in performing the various tasks.

por Christopher N

18 de ago de 2022

It is so hard to learn the code here. I have to find other sources and many documentations.

por DEWA G D

12 de abr de 2020

Jason data that set for map exam can not be use or maybe there should be other way to do it

por Abdul S M G

19 de mar de 2020

Great course to learn python to visualize data which is an important piece in data science.

por Vishal P

21 de nov de 2019

Good Skills Learnt. However, some of the labs have outdated codes. They need to be updated.

por alberto i

15 de jul de 2019

very well structured and insightful, gives you a good idea of the potentiality of the tool

por Kostiantyn P

4 de abr de 2020

Lab environment loads very slowly for me, not sure why. library installation tooks ages.

por Esteban A

18 de jun de 2020

It is a solid intermediate course to deep inside the graphical posibilities of Python.