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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,887 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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326 - 350 of 1,868 Reviews for Data Visualization with Python

By Vallian S

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Feb 4, 2022

This course is good, but not perfect. There are issues with the course such as locked content even though I just unlocked it with financial aid. It turns out that I am not the only one who experience it.

By Mihai C C

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Sep 6, 2023

Very good material in the course. How ever, what could be improved: narrator's voice should be a younger and more energetic voice, and the speed of the narrator's speech could be increases a little bit.

By Loïc B

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Sep 19, 2018

Great course.

I struggled a lot on the bar chart assignement and spent a lot of time reading documentatation. but it was a good practice and helped me get into the right mindset. Thanks for this course!

By anubhavbbd

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Apr 1, 2020

This course was really interesting and it was great learning experience.A big thanks to a instructor.

I got to know new things like folium library (most interesting library of python according to me)

By Mohit

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Oct 4, 2020

The way of design this course is so interesting , quizes , lab session is so good ,Final assignment is great ,to increase skill on data visualization with python is best course on coursera

By HUNG K

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Apr 30, 2020

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!

By Jiujia G

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Apr 17, 2020

This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.

By Mohsin S

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Jul 30, 2019

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

By AL z

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Aug 24, 2023

The course was excellent. The Labs explained concepts clearly, and hands-on exercises solidified my understanding. Real-world applications were highlighted, enhancing practical skills.

By James K

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Jun 14, 2022

Great Course, however, not sure where I will use the Dash Dashboarding. Overall this is a high demanding topic that pushed me to the limit and have learnt a lot by completing this course

By Lucian P

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Dec 16, 2021

content is good and easy to follow, the labs are a great way to practice and I love the challanging final exam. Didn't make it the first try, but all good, that's when you really learn.

By Carlos A P

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Aug 21, 2018

Very good introduction to the use of graphics in Data Science, the labs helps to consolidate knowledge and skills and gives you the confidence that you are really learning the subject

By Himanshu P

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Apr 16, 2020

It was great leraning to use various visualization plot technique using Python based libararies. I would reommned this course to be taken before "Data Analysis with Python" course!!

By Fernando L C

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Feb 29, 2020

The videos, the labs and working with real data make the course just great! Excellent resource for learning to visualize data using Matplotlib, Pandas, Seaborn and Folium. Thank you

By MAURICIO C

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Nov 23, 2020

the first two weeks are neither difficult nor easy. But the last week is a litmus test, with the plotting and graphical data sets putting your mind on fire.

Thank you

Good course !

By Rudolfs L

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Aug 8, 2018

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

By Norma L

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Nov 9, 2020

Absolutely fantastic course. Super well structured, very clear and complete labs, great varied knowledge for visualization and lots of pandas as well, loved it. Thank you guys!

By N V

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Jul 31, 2019

The course contents and lab work are appropriate and useful, however the final lab assignment using folium 0.5 to generate a choropleth layer was fraught with technical errors.

By Damian D

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Mar 3, 2019

The best course in this specialization, so far. Great balance between theory and practice. Interesting and demanding exercises and assignment. Theory explained in friendly way.

By Xudong L

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Oct 27, 2020

It is an interesting course, most of the popular plot tools in python are introduced and well practiced. The final assignment helps to improve and extend the usage of tools.

By Bijoy M

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Jul 4, 2020

A highly efficacious course for intermediate level Data Analyst enthusiast to enhance their skill over Data visualization techniques. I highly recommend to take the course.

By Periklis K

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Jan 5, 2020

This course gives a solid knowledge on creating visualizations with Python. Please have in mind that you have a good familiarity with Pandas to take the most of this course.

By Lakshminarayana D

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Sep 29, 2019

Great Learning. A truly good course which is very apt to the title. Learning clearly on the data distribution plots like Scatter, Boxplots, Folium and Geopandas. Must Learn.

By Rama S C

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Jan 15, 2019

Excellent course, especially the labs were very useful and served as a recap of what was learnt in the previous courses of this certification course. Very clear explanation.

By Ram A

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Apr 25, 2020

Very useful and good explanation. The topics could have been subdivided more so the each tools could have been explained orally rather than working fully in the lab session