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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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301 - 325 of 1,795 Reviews for Data Visualization with Python

By George R

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Jan 27, 2020

It was one of the better courses in this data science professional certificate. I like that the datasets didn't come prepared in advance in the lab exercises and I had to do some work on the on the data before creating the charts.

By David L

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Mar 14, 2019

I felt this was hard. I realized this particular course forced me to review on how I needed to develop the mind set to become a data analyst and software developer. This class force me to learn more and keep going forward. Thanks

By Azka S F

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Mar 1, 2021

For the lab that used the jupyter_dash library, it would be really helpful if you include a video that shows us how to fix or bypass the bug. Many are still confused about how to do it and just keep restarting their lab kernel.

By Lingjun K

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May 12, 2019

I feel grateful for the challenge in the final assignment which help me to grasp the necessary skill sets in a way of learning while doing; a great experience good for the growth of both technique capacity and mental strength.

By Narayana P G

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Oct 30, 2020

Very informative and challenging course in terms of formatting visualizations . Course material and hands-on-lab covers every basic aspect. Although, the assignments maybe hard, the quest to get answers teaches a lot more.

By Simran P S

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Jan 19, 2020

interesting course, but i really faced a challenge doing the assignment, i guess it would be better if assignment questions were covered in Labs session also. The assignment was over the top, and tougher to get it correct.

By Saravanan S

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May 16, 2020

This course is a foundation for those who wants to master data visualization. All the video modules are short and crisp. The lab sessions are very good and explanatory too and covered all the concepts comes under a topic.

By Brian k

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Jun 3, 2022

What I experienced here is just out of this world. Not the typical theortical classes but practical, learn by doing, mutiple examples plus exams. What a way to learn without amny unecessary theories. #practical#relevance

By Ashutosh P

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May 21, 2019

Best course for understanding the data visualization libraries of python and easily elaborate by sir. Thank you sir for this course, great experience to solve lab practical problems and quizzes and all. Thanks a lot sir.

By Nur C N

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Jul 16, 2019

I really love this course, the instructor really provide clear explanation, give enough example, provide comment in each code to give more description, and more importantly the task difficulty is enough challenging.

By Sudeepa N

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Nov 2, 2019

The course is great. Covered all most all the aspects. Little suggestion. Please force the students to add the notebook url for the final submission. That could help to preserve the integrity of the course. Thanks.

By Dhruv S

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Apr 17, 2020

really loved this course, top notch material.. rushed a bit towards the end.. but it covered so much ground.. thanks again for the wonderful walkthroughs.. pretty self explanatory on its own. best regards, dhruv

By Alexey S

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Feb 17, 2019

Thank you so much for the course! This one is the best out of all series! It is a pleasure to learn with you! Labs are fantastic! Really, I spent a lot of time on them. Course is really exciting and insightful.

By Peter A

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Nov 3, 2019

Excellent class. The instructor Alex Aklson uses a very methodical approach when introducing each topic.

It was very refreshing to see that the coursework did not have errors which makes it difficult to learn,

By Masoud R

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Dec 14, 2021

The most complete course on Data Visualization which covers everything a data analyst and data scientist needs. I'm glad I finished this course and I am thankful to the crew who made this course available

By SAKTHIVEL G

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Mar 3, 2020

Started of with very basic visualizations and ended up making a real time view super imposed on WORLD MAP. Never thought I would work on these examples before starting this course.

Kudos to the instructor.

By Vallian S

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Feb 4, 2022

This course is good, but not perfect. There are issues with the course such as locked content even though I just unlocked it with financial aid. It turns out that I am not the only one who experience it.

By Mihai C C

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Sep 6, 2023

Very good material in the course. How ever, what could be improved: narrator's voice should be a younger and more energetic voice, and the speed of the narrator's speech could be increases a little bit.

By Loïc B

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Sep 19, 2018

Great course.

I struggled a lot on the bar chart assignement and spent a lot of time reading documentatation. but it was a good practice and helped me get into the right mindset. Thanks for this course!

By anubhavbbd

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Apr 1, 2020

This course was really interesting and it was great learning experience.A big thanks to a instructor.

I got to know new things like folium library (most interesting library of python according to me)

By Mohit

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Oct 4, 2020

The way of design this course is so interesting , quizes , lab session is so good ,Final assignment is great ,to increase skill on data visualization with python is best course on coursera

By HUNG K

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Apr 30, 2020

Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!

By Jiujia G

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Apr 17, 2020

This is a very helpful course. It introduces a variety of data visualization tools. The interesting practices in the lab sessions inspired me to explore different solutions for a problem.

By Mohsin S

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Jul 30, 2019

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

By AL z

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Aug 24, 2023

The course was excellent. The Labs explained concepts clearly, and hands-on exercises solidified my understanding. Real-world applications were highlighted, enhancing practical skills.