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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
9,698 classificações
1,450 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

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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251 — 275 de 1,445 Avaliações para o Data Visualization with Python

por HUNG K

30 de Abr de 2020

Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!

por Jiujia G

17 de Abr de 2020

This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.

por Mohsin S

30 de Jul de 2019

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

por Wilfredo A

21 de Ago de 2018

Very good introduction to the use of graphics in Data Science, the labs helps to consolidate knowledge and skills and gives you the confidence that you are really learning the subject

por Himanshu P

16 de Abr de 2020

It was great leraning to use various visualization plot technique using Python based libararies. I would reommned this course to be taken before "Data Analysis with Python" course!!

por Fernando L C

29 de Fev de 2020

The videos, the labs and working with real data make the course just great! Excellent resource for learning to visualize data using Matplotlib, Pandas, Seaborn and Folium. Thank you

por MAURICIO C

23 de Nov de 2020

the first two weeks are neither difficult nor easy. But the last week is a litmus test, with the plotting and graphical data sets putting your mind on fire.

Thank you

Good course !

por Rūdolfs L

8 de Ago de 2018

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

por Norma L

9 de Nov de 2020

Absolutely fantastic course. Super well structured, very clear and complete labs, great varied knowledge for visualization and lots of pandas as well, loved it. Thank you guys!

por N V

31 de Jul de 2019

The course contents and lab work are appropriate and useful, however the final lab assignment using folium 0.5 to generate a choropleth layer was fraught with technical errors.

por Damian D

3 de Mar de 2019

The best course in this specialization, so far. Great balance between theory and practice. Interesting and demanding exercises and assignment. Theory explained in friendly way.

por Xudong L

27 de Out de 2020

It is an interesting course, most of the popular plot tools in python are introduced and well practiced. The final assignment helps to improve and extend the usage of tools.

por Bijoy M

4 de Jul de 2020

A highly efficacious course for intermediate level Data Analyst enthusiast to enhance their skill over Data visualization techniques. I highly recommend to take the course.

por Periklis K

5 de Jan de 2020

This course gives a solid knowledge on creating visualizations with Python. Please have in mind that you have a good familiarity with Pandas to take the most of this course.

por Lakshminarayana D

29 de Set de 2019

Great Learning. A truly good course which is very apt to the title. Learning clearly on the data distribution plots like Scatter, Boxplots, Folium and Geopandas. Must Learn.

por Rama S C

15 de Jan de 2019

Excellent course, especially the labs were very useful and served as a recap of what was learnt in the previous courses of this certification course. Very clear explanation.

por RAM K A

25 de Abr de 2020

Very useful and good explanation. The topics could have been subdivided more so the each tools could have been explained orally rather than working fully in the lab session

por Xin W

4 de Jun de 2019

Video lectures are compact. To really get to know the matplotlib, a lot of work needs to be done during hands-on lab and self study. But it is a good introductory course.

por Parth P

11 de Mar de 2020

Data Visualization plays a vital role in ML. This course helps in understanding various visualization tools and plots. Nice course to know about matplotlib, folium, etc.

por Francisco C

16 de Ago de 2021

Course was much harder than the previous. Follow the Dash part was harsh sometimes; at the end everything worked perfectly but a lot of interpretation it was necessary

por Sabarish V

29 de Mar de 2019

A fairly good introduction. The scripts can be a bit advanced for those who are new to Python. It's best to have the documentation open on a different tab at all times.

por Shashank S C

20 de Mai de 2020

This course has very good topics on Data Visualization, I must appreciate the exercises in lab and the final assessment which really helps you work on real-time data.

por James K

27 de Set de 2021

Great overview. I really enjoyed the guided learning format of the course. It is a great 'leap-off' point to jump start building graphs/plots of data sets in Python.

por Israel S S

21 de Ago de 2019

Un curso muy completo y con ejemplos prácticos. El proyecto final me permitió investigar mas sobre las opciones y atributos de las librerías para construir gráficas.

por Y M

18 de Jan de 2019

Excellent ! Although most of plots that I have learnt before, the map plot with folium is very attractive to me and I have got so much new things. Thanks professor !