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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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1176 — 1200 de 1,629 Avaliações para o Data Visualization with Python

por Esteban A

18 de jun de 2020

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

por Hassan H

8 de set de 2019

Some of the lab exercises were not available online/was having problem accessing them.

por Yeh Y J

18 de jan de 2020

will be good if the module can elaborate more on how to add data label as annotation.

por Saurabh G

7 de ago de 2019

Good course. I wish they had more details on how the layers in the Geo charts worked.

por Gajula J

26 de jul de 2018

nice course but needs few improvements, screen recordings needed rather than slides.

por Alex P

27 de jul de 2020

The data processing in the assignment could align more with the examples provided.

por Mohammad S U

5 de jul de 2022

This is a very good course! I learned a lot about data visualization with python.

por Askhat A

1 de abr de 2020

Some minor issues regarding e.g. Folium installation (mentioned in Forum section)

por Shawn F

9 de jan de 2019

assignments are using too many techniques which tutorial videos are not included

por Michael L

26 de fev de 2021

Provided foundational information to work with data visualizations with Python.

por Kiran V K

27 de out de 2019

No proper Lab Instructions. But was a good course in terms of topics covered.

por Guy P

10 de dez de 2018

Very good course but labs contained many typos which were sometimes confusing

por Rafael M S

1 de fev de 2023

Very good course to learn a lot of ways to create different type of charts.

por عبير ك

20 de set de 2020

very good in explaining an introduction in data visualization with python .

por Brijesh O

10 de mai de 2020

Need more methodic explanations on the key functions and parameters , kwarg

por Gustavo P F d X

23 de mar de 2020

There are some problems with the labs according to installation required.

por Prashant S

4 de abr de 2019

The last section of advance Visualization lab could have been more better

por LAURA T G

17 de fev de 2020

Mmany mistakes that make the studentsd work and stress more tan required

por ARCHANENDRA S

6 de dez de 2019

Excellent study material and brief description of visualization concepts

por Apurv T

30 de jul de 2020

the spatial analysis is new to me and want more detailed study chapters

por Diego A P

6 de dez de 2020

A broad range of visualizations explained fast and straightforward.

por Alvaro F

18 de mar de 2019

It would be good to make another section only for seaborn or bokeh

por anish k

20 de ago de 2020

Good enough to learn basic skills of data visualization library.

por Carlos A

6 de mai de 2020

Felt like there could be more information in the last week lab.