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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,467 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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251 - 275 of 1,792 Reviews for Data Visualization with Python

By Maximiliano E

•

Jun 24, 2020

I thought this course was a bit tough but still very interesting. I gained lots of insights and ideas on Data Visualization methodology and techniques and I am looking forward to applying this knowledge going forward. Recommended course if you want to get good insight and ideas on how to work with data viz and how to prepare the data in order to present it more professional.

By Michio S

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Jul 3, 2020

In this IBM program, the discussion forum is well managed.

Whenever I posted my questions, I got help from teaching staff.

Although there is a variability in response time, they responded to all my questions.

Thanks to that, I managed to pass this course with 100% grading.

Especially, I want to give a good credit to Lakshmi Holla for mentoring the students including me.

Thanks

By Nataly O

•

Apr 18, 2020

Thanks to instructors. But as always a few improvements are possible. 1) Personally I missed the voice of the speaker from previous 2 courses. 2) I think that extra quizes inside the lessons will be very useful - Don't hesitate to add more tasks for students as intermediate progress assessment.

Anyway, I gained a valuable Data Vis experience from this course. Thanks!

By Mats B F

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May 26, 2020

There were some issues I spent a lot of time on in the final assessment. The first was loading the file into the notebook. The second was troubleshooting the choropleth map. I had written the key_on code slightly wrong. You can consider explaining in some more detail how to upload files - and also the code you use - !get.

The course was all in all very interesting.

By Senthamizhan V

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Jul 2, 2019

I thought the syllabus will cover only matplotlib and seaborn. I didn't expect to learn geospatial data visualization in this course. I learnt a great deal about folium and it's versatility. I feel it's a great addition to the course. Such modules will enable aspiring data scientists to expand their domain knowledge and excel in unorthodox data science areas.

By Joeky Z

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Jul 22, 2023

A very robust course that is really tailored for someone who really wants to know how a data scientist creates different types of graphs for different types of scenarios. It was challenging but the effort the instructor put into making the course really helped me understand every material as a beginner. Thankfully the practices were actually helpful!

By Toby O

•

Nov 14, 2018

Not sure if the creator gave enough tips and tricks to help provide solutions for the final assignment. I had to use alternate solutions not provided.

The examples given are good but quite simple in places, and only work in specific circumstances. This may be because there are simply too many solutions to go through in this short course.

By Eleni K

•

Mar 31, 2019

While the course's material is very interesting and extremely helpful, there is a vast variety of different ways to visualisation and I'm afraid I had to search google for most of the last assignment's requirements.

I believe three weeks is not enough and there should be more exercises in this course. Other than that it was a thrill :)

By Eric H

•

Dec 19, 2018

The Data Visualization with Python course is really outstanding when compared to the others in this specialization. Alex is doing a great job explaining, the slides and examples are comprehensive, yet easily digestable. The in-depth exercises are the best in the whole specialization, quite challenging and therefore very effective.

By Sumanta S

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Sep 12, 2020

This course outlines the importance of Visualization and where and how to use different type of representation such as Bar Graph, Area plot, Pie chart Scatter Plot, Box plot and others. The course also introduces to use of Plots to show Geo spatial data. and also introduces one to the different libraries used for plotting. .

By Cassandra d C

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Apr 26, 2020

The first properly challenging course I've encountered on Coursera and I loved every bit of it. I have an engineering background and I loved having to look for the answers on the internet and in the documentation. It wasn't simply spoonfed to me. If you pass this course, you will definitely gain proficiency in this subject!

By Himanshu P

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Dec 28, 2019

Truly Awesome, I get a in-depth knowledge in this specialization and just precise content as well up to date. Correct combination of theory and explanation in detail then practical lab over recent topic covered then Project in each topic. Also final Capstone project is really rigorous. Thanks to Instructor and Coursera.

By Samuel K N

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Sep 26, 2021

Getting closer to the end of this professional certificate by IBM, with this Data Visualisation course, which I must say, had a high level if I compare it to the subject I've just completed in the Master. As always, if you guys have any questions about what is like to study online at Coursera or Datacamp, hit me up.

By Orsi N

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Jul 25, 2020

I completed this course as part of the IBM Data Science Professional Certificate and it was by far the best (so far, I have one more left). The videos were short and easy to understand, the labs were on point and many additional resources were offered. The instructor did a really good job when putting this together.

By Colton R

•

Sep 7, 2018

A well done course that really gives a decent overview and exposure to the python tools for data visualization. Although the projects take a bit of extra self studying and research to complete, the course provides a majority of other good sources to continue your understanding of the material beyond the lectures.

By Vagner M

•

Sep 8, 2020

Very interesting course and a must take for people interested in learning powerful techniques with Python's Panda, Matplotlib and other libraries. At the end of the course, you will feel confident reading, manipulating and displaying data analysis in a wide array of graphs, charts and other stunning visual media.

By Fernando F

•

Dec 27, 2020

I was a very difficult course for me but it was very instructive, I understood some of my weakness in Python and OOP so I need to work on that, now I know data visualization is a major topic in DS.

By the way, Google was a very useful tool to review new concepts for me and get ideas how to approach the problems.

By Melpo W

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Aug 14, 2020

Using python to create graphs and charts is very simple and easy, once u remember all the basic and keep trying. It seems to me that it is easier than any other reporting tools I used before. It is great that I know where to find the tool to create these charts and graphs if I need to prepare presentation. :)

By Abishek M V

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Apr 26, 2020

Though the course videos were short, giving an introduction to how different charts look and to plot them, the lab sessions were the best and gave a plethora of information on data visualization. Also, I am glad that they included the folium part of the course in the assignments which were very well formed.

By Sergey

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Apr 17, 2020

Nice lecturer and useful tools. This course was really interesting though pretty hard for me. Sadly at the end of the course I didn't feel that I gained enough skills to do the lab easily but maybe it just me. Anyway I ll definetely return to this course again to get the better understanding of some topics.

By Willy O M

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May 21, 2023

This is by far the most understandable and well explained course so far in this IBM Data science, this is what we call beginner friendly, , step by step explanation, repetition and clarification to make sure the students follows and understand, i wish all instructors were like this. I strongly recommend .

By Daniel R

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Apr 7, 2020

I really enjoyed this course! The labs used interesting, real-life data and did a good job explaining the purpose of each line of code in an easy-to-understand way. I appreciated the questions in the lab because they built on and stretched my understanding of Python from past courses. Thank you, Alex.

By Jason D

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Sep 15, 2019

Really nice course. This course has helped me build up a number of Data Visualization skills, and I am able to draw meaning and conclusions from data easily and much faster. The course labs are excellent and the final assignment was a good way to test the skills that I developed during this course!

By Siwei L

•

Feb 19, 2020

I feel this is harder than the other ones in the series, sometimes you need to google a little bit to figure it out.

I spend more time for a week, but I wonder why I have to do it in Python. I learn Python just for faster loops than R. Personally I think R need less coding and produce better graphs.

By Victor A d S

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Jul 25, 2022

This is one of the most interesting courses from Data Science Certificate so far. Everything learned in this course is very important for a data scientist, aand the best thing is that there are several hands-on activities to do. I really honed my data visualization skills and expanded my toolbox.