Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

11,994 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

Nov 28, 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.

Apr 23, 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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626 - 650 of 1,891 Reviews for Data Visualization with Python

By Neelesh T

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Mar 6, 2020

I really enjoyed learning during the course.

Thank You IBM & Coursera.

By Alexander P S

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Mar 29, 2019

Interactive quizzes would do more justice than multiple choice quizzes

By Annamamed M

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Feb 5, 2023

Great course on data visualization with many hands-on practice tasks.

By Daniel C

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Jun 13, 2020

An excellent concise introduction to Data Visualisation with Python.

By Siddhant K

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Jun 11, 2020

Awesome course to get a flavor of the data visualization techniques.

By Vivek M

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Oct 12, 2019

Nice insights on matplotlib and a very crisp introduction to Folium.

By Nyein C A

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Apr 17, 2023

Very effective lecture and very easy to understand the explanations

By waseem a

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Nov 29, 2020

Course is well managed and have a lot of information to learn from,

By jeremy j

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Sep 10, 2019

Nice course to get start with basic data visualization using python

By Attah A I

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Sep 10, 2021

The dashboarding final assignment put me to test. Was glad it did.

By Pat B

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May 4, 2021

A lot of great knowledge from IBM. I highly recommend this course.

By Azajul I N

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Dec 24, 2020

Wow. I really enjoyed this course. Highly Recommended. Keep it up.

By sukma c

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Nov 20, 2020

the difficulty level of the final assignment is just what i needed

By Seemant T

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May 19, 2020

The course belongs to the point and a lot easier to the beginners.

By Romil N

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May 1, 2020

ASSIGNMENT IS TOUGH BUT LOOKS INTERESTING...SPECIALLY THE MAPS ONE

By Ashish O

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Mar 9, 2019

Great course! Enjoyed the hands on sessions and loved the content!

By Nikhil B

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Sep 27, 2018

Really interesting and challenging for beginners, enjoyed it a lot

By kazim a

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Mar 30, 2021

very good and easy understandable course. Thank you coursera team

By Timothy-Ray H

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Nov 18, 2020

Very tough course but also very well worth the additional effort.

By Natalia M d l V

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Jun 25, 2020

one of the best courses so far in the IBM specialization. thanks!

By Mrinalini S

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Mar 19, 2020

It is a good for learning the basics of Visualization with Python

By Josh H

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Jan 11, 2020

Really informative course on visualization however very beginner!

By Amir K

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Dec 4, 2019

A good course on visualization. many important topics are covered

By hassan s

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Aug 19, 2019

Nice concepts. real need of this course for every data scientist.

By moid h

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Jan 31, 2019

Really Good Course, especially the labs for practicing exercises.