Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

11,842 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 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.

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:

1351 - 1375 of 1,865 Reviews for Data Visualization with Python

By Alvaro F

•

Mar 18, 2019

It would be good to make another section only for seaborn or bokeh

By anish k

•

Aug 20, 2020

Good enough to learn basic skills of data visualization library.

By Carlos A

•

May 6, 2020

Felt like there could be more information in the last week lab.

By Kang R K

•

Nov 5, 2019

short course but learn useful python package Folium efficiently

By Sai Y

•

Jan 23, 2023

Overall Best Course to learn . Needed in more indepth concepts

By Mohit S C

•

Mar 10, 2022

This course is so much benifical for me to visualize the data.

By William O

•

Apr 28, 2020

Thanks for the content of this course. I really learned a lot.

By Nicolás G S I

•

Jul 31, 2019

The final assignment is not too clear.Question 2 specifically.

By Serdar M

•

Nov 25, 2018

more explanation on functions' and methods' parameters needed

By kolluru s

•

May 4, 2023

Fantastic course ! still there is delay in receiving a badge

By Frank H

•

Feb 6, 2020

Some new packages i've never seen. Map one was really cool.

By Hong W

•

May 13, 2020

Good course to learn basic knowledge of data visualization

By Kevin D

•

Sep 26, 2019

first of the courses where things weren't spoonfed to you.

By Greg G

•

Jul 6, 2019

An interesting course with a number of practical examples

By Nath S

•

Apr 15, 2022

Really helped me to understand diferent types of graphs.

By Ahmad S

•

Jul 30, 2020

Very good course but need more examples and explanations

By aloke d G

•

Sep 24, 2019

Good insights into various plotting methods and library.

By Ankit K S

•

Feb 13, 2020

Very wisely chosen content of ungraded lab assignments

By Murat A

•

Sep 27, 2021

I had to retake the quizes which I completed already.

By Mirjan A S

•

Aug 22, 2020

Very Good Course for Data Visualization with Python..

By Gaurav J

•

May 3, 2020

Will be good if seaborn is also included in syllabus

By Ravindra D

•

Nov 18, 2019

Brief introduction to Data visualisation using Python

By kaveer s

•

Apr 8, 2019

great course content but it should be more disciptive

By Vivek P

•

Jun 10, 2020

The course was good, but some documents were missing

By Satya V P C

•

Jul 17, 2019

Very nice course with all explanations and examples.