Chevron Left
Back to Data Visualization with Python

Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,830 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.

Filter by:

376 - 400 of 1,861 Reviews for Data Visualization with Python

By Carlos N J

•

Jan 13, 2020

Lots of in-depth labs. However, final assignment required some techniques that were not covered at all, so the difficulty was much higher than expected.

By Juliet M J

•

Oct 27, 2019

A very good course! The Jupyter Notebooks are structured perfectly to follow the steps and action without difficulties. Had a great learning experience!

By Danijel S

•

Dec 28, 2020

Thanks for the well-explained and comprehensible introduction to Data Visualization with Python. The best thing about this course was the lab sessions!

By Manoj M

•

Apr 1, 2021

Good Course to understand the topics of data visualization and dashboard creation using Python libraries such as Matplotlib, Seaborn, bokeh and Plotly

By Kuber B

•

Aug 7, 2020

The course is designed very well and each topic is explained in easy to understand manner. Also the labs are very well designed to clear the concepts.

By prakriti p

•

Mar 23, 2020

I liked the assignment presented by the course. I learned from solving the problems. The constant error with the lab problems discouraged me at times.

By Greg H

•

Oct 10, 2018

The tutorials are brilliant and very useful! Make sure to complete them and you will get an extremely beneficial intro to several visualisation tools.

By Sivamurugesh A

•

May 22, 2021

Its a great course for learning visualization techniques in python. Lot of practical exercises are given with explanation of all. Enjoyed the course.

By Bakari D

•

Jul 28, 2019

The project was well done. To be successful you have to complete the labs. The lab materials are a really good balance between practical and theory.

By Joel E

•

Apr 5, 2023

It's been one of the best courses I've done so far, with a great assignment project, with and excellent guidance to do correctly, fully recommended.

By Mish0081

•

Jan 31, 2021

Thoroughly enjoyed this course, and find it super valuable!! I highly recommend this to anyone looking to build data visualization skills in Python.

By Aqib A H

•

Oct 3, 2023

Vedios are well structured and especially lab assignment composed by Dr Pooja and her co-workers are top-notch and very helpful. Hats-off to Team.

By José E S V

•

Aug 8, 2020

Realmente un curso muy practico para aprender sobre todas las herramientas y librerías que ofrece Python para la visualización de datos.

Recomendado

By Venkat N N

•

Nov 30, 2020

Very good entry point into data visualization using Python. Found associated labs and assignments to be very helpful in reinforcing the concepts.

By SACHIN G

•

Oct 11, 2019

The course is made in very simple language, anyone can learn from this course. The most amazing part of the course is Lab. Love you IBM & COURSERA

By Aryan 9

•

Jun 21, 2021

This has been the course that I not only learned alot, but enjoyed alot as well, creating web apps and interactivity was so satisfying, loved it!

By Mir M A

•

Jun 9, 2023

The Data Visualization with Python course was really informative and hands-on, providing an experiential learning experience with real datasets.

By lara l

•

Jun 30, 2020

the teacher of this course has made great designs and offered rich resources to students. I personally like his teaching style a lot. thank you!

By FAMILUSI O

•

Apr 16, 2020

Amazing challenge for enthusiastic learner, i would definitely reference the course materials several times more just for its depth. Thank you.

By Sachin K K

•

May 29, 2020

The course is brief and to the point and is providing you with great practical work to get a hands-on practice to make you ready for the world.

By Ravindranath R

•

Dec 20, 2019

Very clearly explained and lab is excellent. Like the style of providing description of datasets used in each lab. Thanks a lot to instructor.

By Chandra s r

•

Jan 6, 2021

Hands on is the best way for a developer to accomplish a coding course. This course forces hands on exercise which is best about this course.

By Thanh N N

•

Mar 15, 2019

Nice course. It is short video, but well-composed ones. I love labs, it focuses on key points of visualization. I learned a lot here. Thanks!

By Christophe O

•

Apr 5, 2022

Excellent, the exemple and lecture are very interesting,

IMO you could have save some time not explaining the canadian dataset everytime !

By Deleted A

•

Aug 4, 2020

Thanks for IBM for providing these courses and the content of the material is good for who coming from different domain can also do easily.