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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,487 ratings

About the Course

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....

Top reviews

LS

Nov 27, 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.

CJ

Apr 22, 2023

Learnt a lot from this visualization course. The one I found most interesting was making the dashboard. Although sometime the code and indentation are tedious, but this might be useful in the future.

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1276 - 1300 of 1,795 Reviews for Data Visualization with Python

By Mujeebullah Y

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Oct 23, 2019

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

By Christopher N

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Aug 18, 2022

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

By DEWA G D

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Apr 12, 2020

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

By Abdul S M G

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Mar 19, 2020

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

By Vishal P

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Nov 21, 2019

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 However, some of the labs have outdated codes.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

By alberto i

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Jul 15, 2019

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

By Kostiantyn P

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Apr 4, 2020

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

By Esteban A

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Jun 18, 2020

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

By Hassan H

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Sep 8, 2019

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

By Yeh Y J

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Jan 18, 2020

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

By Saurabh G

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Aug 7, 2019

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

By Gajula J

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Jul 26, 2018

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

By Alex P

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Jul 27, 2020

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

By Vasileios G

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Dec 4, 2023

nice course but too many issues with malfanctions on the notebooks and workshops.

By Mohammad S U

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Jul 5, 2022

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

By Askhat A

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Apr 1, 2020

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

By Shawn F

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Jan 9, 2019

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

By Michael L

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Feb 26, 2021

Provided foundational information to work with data visualizations with Python.

By Idris K

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Apr 18, 2023

the course was very good bus should explain a bit more the labs of dashboards

By Kiran V K

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Oct 27, 2019

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

By Guy P

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Dec 10, 2018

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

By Rafael M S

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Feb 1, 2023

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

By عبير ك

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Sep 20, 2020

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

By Brijesh O

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May 10, 2020

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