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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,896 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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1376 - 1400 of 1,872 Reviews for Data Visualization with Python

By Nath S

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Apr 15, 2022

Really helped me to understand diferent types of graphs.

By Ahmad S

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Jul 30, 2020

Very good course but need more examples and explanations

By aloke d G

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Sep 24, 2019

Good insights into various plotting methods and library.

By Ankit K S

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Feb 13, 2020

Very wisely chosen content of ungraded lab assignments

By Murat A

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Sep 27, 2021

I had to retake the quizes which I completed already.

By Mirjan A S

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Aug 22, 2020

Very Good Course for Data Visualization with Python..

By Gaurav J

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May 3, 2020

Will be good if seaborn is also included in syllabus

By Ravindra D

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Nov 18, 2019

Brief introduction to Data visualisation using Python

By kaveer s

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Apr 8, 2019

great course content but it should be more disciptive

By Vivek P

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Jun 10, 2020

The course was good, but some documents were missing

By Satya V P C

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Jul 17, 2019

Very nice course with all explanations and examples.

By Yohanna H

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Apr 14, 2021

Some of the code they give you to update is buggy.

By Yang D

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Feb 15, 2019

All the course is good except the final assignment

By Ishani S

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Apr 25, 2020

The course was thorough in data analysis content.

By Hunter I

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Apr 17, 2020

Liked it a lot, a little rushed but learned a bit

By Brian T

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Feb 25, 2020

good data visualization for business intelligent

By Tianyi L

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Feb 23, 2020

Projects are interesting. Labs could teach more.

By Mohammad Z P

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Jul 22, 2019

The labs and assignments are really interesting.

By Stijn d b

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Mar 10, 2019

most interesting course in the IBM python series

By DEEPTI C

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May 5, 2020

all parameters/options not explained in videos.

By manish c

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Apr 4, 2020

best course for beginners in data visualization

By Rajdeep R C

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Jul 19, 2019

It was good. Though the video content was less.

By Angela O

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Jun 12, 2024

Lab instructions often unclear or inconsistent

By Sai K K

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Jul 31, 2021

I had learned many new things in this course

By Christopher R

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Oct 31, 2020

Some of the labs had confusing instructions.