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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
10,674 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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1126 — 1150 de 1,622 Avaliações para o Data Visualization with Python

por Aarya B

5 de abr de 2020

course is great, but most of the content is covered in lab sessions. please if possible try to add more content in video lectures

por David K

31 de dez de 2021

A bit more detailed explanation would be great in regards to the different codes we have to implement. (what function a code has)

por Jennifer R

26 de abr de 2020

Very interesting content! But, most quizzes test on content that wasn't taught in the course so the quizzes are very difficult.

por Oluwaseun O

13 de jul de 2020

Comprehensive course with detailed lab practice to reinforce taught topics. Would be nice to have in-video quizzes for recaps.

por David C Q

17 de fev de 2020

Good course, however, should add some additional readings on the topics. Because the videos don't develop too much the topics.

por Fredrik S

24 de abr de 2021

Liked the course, but way to hard final exam. Had to hack and make all sorts of twist and turns to get the dashboard running.

por JAINAM C

11 de fev de 2021

This course provides a good and brief knowledge about data visualization and the labs and final project are also satisfying.

por Teodor-George C

29 de out de 2018

good basics + interesting things like maps. Only 4 stars because I find map visualization interesting but not very useful

por Ludovico P

23 de jun de 2020

Overall a nice module. Unfortunately Folium didn't load on Watson Studio and could have been explained in more details.

por Franck A B K

16 de fev de 2020

Very interesting course! I've learnt diverse tools about data visualization, and I'm ready to apply them in my projects.

por bob n

5 de nov de 2020

Delivered in nice size chunks. Labs useful. Would like more practical exercises. Good final peer graded assignment.

por Frank S

19 de mai de 2019

To much emphesis in the quiz on terrian tiles - that is something you can look up, seem no reasonable to know by hard.

por Di Y

21 de jun de 2020

Very useful lab sessions, but only the Mapbox Bright is now unavailable. I hope its installation can be updated soon.

por Nicholas F

13 de jul de 2021

Content is generally fine but some of the questions in the quizzes are very poorly worded and difficult to decipher.

por Alois N

3 de jul de 2020

Great overview and introductory coursework. At times light on detail and needs complementing with additional detail.

por Anshul

8 de set de 2019

the overall course is short and precise. The course assignment has questions that are not taught during the course.

por Patrik A

5 de jul de 2021

Very fun and very good course.

Some issues at the end when working with Dash - but all in all - MUCH RECOMMENDED!

por jeffrey w

6 de mar de 2021

The final assignment needs more clarity. The mode should be 'external' by default to limit wide scale confusion.

por Shane W

21 de dez de 2019

This was a valuable course, but the pacing may be a little too quick. It's a lot of different libraries to learn.

por Keerthi S

1 de dez de 2019

I felt that the week 3 was somewhat rushes on the videos without much discussion. Otherwise, great learning tool!

por Gurrapu N

29 de mar de 2020

Appreciate the content and visualization.

Labs dont work most of the time, it hinders the progress and momentum

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.