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Avis et commentaires pour d'étudiants pour Data Visualization with Python par IBM

4.5
étoiles
9,609 évaluations
1,437 avis

À propos du cours

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Meilleurs avis

LS
27 nov. 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.

AM
13 août 2020

Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!

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151 - 175 sur 1,430 Avis pour Data Visualization with Python

par Zach S

10 juil. 2021

By far the worst course apart of the Data Science Certificate. There were lots of issues with the final assignment working and it totally derailed my learning and interest.

par Hakan C

14 mars 2020

I can't use IBM skill network labs for almost a week. There is always an error starting a lab and I will not go on course.

par Elliott P

22 oct. 2019

Labs did not work. Kept getting 'Application Not Responding' errors from the IBM site hosting the lab notebooks.

par Wei K

1 mai 2020

Poorly design. Not enough practice material to help student to burn the knowledge into our brain.

par Albert D

3 janv. 2020

The link in the labs did not work. The videos were good but I wish I was able to use the labs.

par Cedrick N

30 oct. 2019

I spent more time searching online for answers than I did going through this course.

par Ali A

4 sept. 2018

It was so shallow. Just mentioned everything without going a little bit deeper.

par Michael W K

10 mars 2020

Many technical issues with the course material that are outright ignored.

par Daniel Ș

26 déc. 2019

Many technical issues with the final project and no one cares...

par Nilay M

28 mai 2020

Taught Too less. Asked too much during the Final Exam

par Leif

8 janv. 2020

Awful. You don't learn anything you're tested on.

par Michael R

31 août 2018

No support from moderators, plenty of typos.

par prattya d

3 août 2018

Very few guidelines to complete assignments

par Federico D

14 oct. 2019

Really bad course: too much redundance

par vicky t

24 juil. 2019

worst course please update the lab pls

par Gaurav R B

8 janv. 2020

Course is not organized properly

par Slim S

2 déc. 2018

No documentation, no summary

par Besaleel F d A J

17 déc. 2019

Very poor videos.

par akshay j

2 avr. 2020

very bad course

par Imtiaj A C ,

27 avr. 2020

I have done other 2 courses in this specialization....but frankly speaking, this course was far better than those....the type of things that we handled in the lab was very interesting and also intriguing....in other courses, the labs were just about the same as the video lectures....no new things except one or two....but here, they were very thorough and we learnt a great deal of things outside of the video lectures.....

About the final assignment, i thought it would be boring and very noobish as i experienced in other two course....but to my surprise it was so great....it just put what i learnt in this course to a test and i had to do everything by myself....it was quite unlike the other ones where i was baby-fed by giving most of the code in a notebook and completing the rest which was so easy that it rarely felt like an assignment let alone the final one.....

And that is why loved this course very much.....about the labs, about what i learnt and about the final assignment....i genuinely think these are gonna help me to accomplish my goal for what i took this course....

And i would like to request the course instructors and maintainers to make other courses in this specialization like this one especially the labs and final assignment.

par Alex J C

11 juil. 2020

I started, stopped, started, stopped, and started and finished this course. Partly because my job got demanding and I had to pause; partly because some of the concepts in this course weren't always clear the first time I looked at them. It was when I needed to create charts for my job and I was actually working with Python to do those assignments that the concepts in this course finally clicked. Once they did, I was able to push past the finish line.

With this happening, I remembered the important truth of coding skill: it's like a muscle. It only grows when you exercise it. That said, I wish this course offered more exercises (perhaps ungraded FYI exercises, or expanded lab work) in creating various charts.

The maps section rocked! That was, I think, my favorite part of the course, especially when creating the choropleth map for crime in San Francisco. I remember when I did GIS projects in my work 25 years ago, when specialized software ($15,000 - $20,000 per license) was required. Now, in just lines of Python code, you can create an even more precise map. Once I complete my certificate for data science in Python, I will be looking for GIS courses available at Coursera!

par Pedro F

5 mai 2021

Dear Teaching Staff, first of all, I want to apologize with you for some of my firts post on the Course Forum. I wrote them very upset because I did Not get at 1st time the results expected as I use to. Sorry for that.!!! Said that; I want to give you a feedback in order to improve the courses yet to come. It is Ok when teachers show you the A, B, C of any topic and then, expect from you with the final assignment the students´ showing the the X, Y and Z of that topic in question. I do not have any problem with that. I fact I remember at The University the the teachers did exactly that. The diference is, they did explain those expectations at the very begining of the course. This course is far from copy or paste code as someone said on the Forum, but although all of you were very diligents with the doubts, mistakes we made, the problem with the Jupyter lab, etc. I think that you should had explain better the A, B, C of the course making the Quizes more challenging since the begining. That´s all I like to say to you. Again thanks a lot for such an inteletual and learning experience. I´ll keep going trough this path!!!TY

par Venkatachalapathy P

2 janv. 2021

The course was great - I learned a lot of the python visualization packages. The end of module Labs could have been broken down into smaller units at logical boundaries. While they were good I found them very long for one sitting. More focus on Artist layer would help - anyway the real world problems would require fair amount of programming.

On the other side, I had encountered some technical questions which I posted in the forum. There was no response from the course staff - I spent nearly 2 days fighting for a column title in the final assignment and was hoping someone will try to help. As much as possible, I try to find the solution myself and also help others in similar situation, I did need some help on two occasions in the final assignment which I could not get.

All in all a great experience!

par Alpesh G

21 août 2021

The course starts with the introduction and history of Visualization, Matplotlib and its architecture. Followed by introduction and hands-on experience of Histogram, barcharts, boxplots, scatter plot and bubble charts. This course also introduced the advanced visualization tools like Folium for visualizing Geospatial Data, along with Plotly, Plotly.graph_objects, and Plotly express command, also understood how a dashboard can be used to answer critical business questions. At the end the course ends with Peer Graded Assignment to get hands-on practice of everything learnt and made a dashboard.

Thank you Coursera and IBM for this amazing learning experience.

par Rohit B

6 mars 2020

The course really highlights the power of Python's visualisation. It is really cool to see the charts as well as map functionality that comes free with Python. With some basic programming experience, far more powerful visuals can be created than some very high-end off the shelf programs. I really liked the features such as Word Cloud as well as Choropleth maps.

Improvements:

1 The videos can be a trimmed a bit - Almost every video re-iterated the data cleanup exercise, which got repeatitive after the first 2 videos.

2 More examples of map related lab exercises would be very helpful for those like me who want to delve into this further.