Chevron Left
Back to Data Visualization with Python

Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,880 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:

651 - 675 of 1,868 Reviews for Data Visualization with Python

By Michael Y

•

Jun 22, 2020

The hands on programming exercises were very useful! Thanks.

By Kristin R

•

Feb 5, 2020

i took a long break and still managed to come back and finish

By Biswajit G

•

Sep 14, 2019

Awesome explanation. This is the perfect course for beginner.

By Wei S

•

Mar 18, 2019

Folium is a incredible library, thanks a lot to introduce it!

By Darshan K

•

Sep 7, 2022

This course is really learning a lot of data visualization.

By Ely A F M

•

Jan 28, 2022

Excelente curso, muy completo cumple con las espectativas!!

By Krishno S

•

May 31, 2020

Excellent! Good Assignment. Good Lab work, good presentation

By Ssentumbwe E

•

Dec 14, 2019

The assignments were challenging but I appreciated later on.

By Parab N S

•

Oct 7, 2019

An excellent course on Data Visualization with Python by IBM

By Rick L

•

Aug 7, 2019

What a cool stuff! This really motivates me to learn Python!

By Deepratna A

•

Jun 24, 2019

One of the most descriptive courses on Data Viz with python.

By Gurudev S

•

Dec 30, 2018

Awesome Course.Thanks to IBM for developing a nice course :)

By Reggie A

•

Feb 24, 2020

Assignment was bit challenging and I liked every bit of it.

By Laureano P

•

Dec 12, 2019

Nice subject to learn and the course was will setup. Thanks

By AC

•

Nov 19, 2019

Great .. Need to practice exercises more.. to be perfect...

By Tareq A

•

Mar 7, 2019

Really its short flexible and rich contents

Thank you at all

By Nyamwange O

•

Mar 25, 2024

Relatively complex compared to others (good for learning).

By Mihail-Cosmin M

•

Apr 11, 2022

By far the best course in the IBM Data Science Certificate

By Daria P

•

Jan 2, 2021

Really interesting, the only one of all I wish was longer.

By Oritseweyinmi H A

•

Apr 27, 2020

Good course! The last assignment definitely made me sweat!

By Gregory K

•

Aug 31, 2019

Excellent course and the final assignment was challenging.

By Leonardo R

•

Oct 29, 2018

One of the best courses for me on coursera about data viz.

By TRỌNG N

•

Mar 3, 2023

It's easy to learn with hands on activities, really handy

By Khoi N N

•

Dec 21, 2022

Great course for anyone pursuing a career in data science

By Gustavo A M C

•

Dec 7, 2022

A course really loaded with valuable content, quite good.