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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,660 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

HK

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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!

MN

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More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums.

Thank you.

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1301 - 1325 of 1,830 Reviews for Data Visualization with 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

By Gustavo P F d X

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Mar 23, 2020

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

By Prashant S

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Apr 4, 2019

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

By LAURA T G

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Feb 17, 2020

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

By ARCHANENDRA S

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Dec 6, 2019

Excellent study material and brief description of visualization concepts

By Apurv T

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Jul 30, 2020

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

By Diego A P

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Dec 6, 2020

A broad range of visualizations explained fast and straightforward.

By Alvaro F

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Mar 18, 2019

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

By anish k

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Aug 20, 2020

Good enough to learn basic skills of data visualization library.