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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,492 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 1,795 Reviews for Data Visualization with Python

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

By Xin W

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Jun 4, 2019

Video lectures are compact. To really get to know the matplotlib, a lot of work needs to be done during hands-on lab and self study. But it is a good introductory course.

By Bukola O

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Aug 15, 2022

This course is interesting to me and I really enjoyed the aspect of writing minimal code to generate exceptionally attractive and meanigiful geospatial maps. Thank you.

By Parth P

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Mar 11, 2020

Data Visualization plays a vital role in ML. This course helps in understanding various visualization tools and plots. Nice course to know about matplotlib, folium, etc.

By Francisco C

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Aug 16, 2021

Course was much harder than the previous. Follow the Dash part was harsh sometimes; at the end everything worked perfectly but a lot of interpretation it was necessary

By Sabarish V

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Mar 29, 2019

A fairly good introduction. The scripts can be a bit advanced for those who are new to Python. It's best to have the documentation open on a different tab at all times.

By Shashank S C

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May 20, 2020

This course has very good topics on Data Visualization, I must appreciate the exercises in lab and the final assessment which really helps you work on real-time data.

By James K

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Sep 27, 2021

Great overview. I really enjoyed the guided learning format of the course. It is a great 'leap-off' point to jump start building graphs/plots of data sets in Python.

By Israel S S

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Aug 21, 2019

Un curso muy completo y con ejemplos prácticos. El proyecto final me permitió investigar mas sobre las opciones y atributos de las librerías para construir gráficas.

By Y M

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Jan 18, 2019

Excellent ! Although most of plots that I have learnt before, the map plot with folium is very attractive to me and I have got so much new things. Thanks professor !