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!!!
It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)
Powered by detail-oriented labs, this course amazes the learners with what can be achieved using Visualization libraries. The course beautifully covers all the plots used by Data Scientists in day-to-day life along with their variations. Going through this course, the learner takes a step towards mastering the art of storytelling, something expected of a good Data Scientist. Nowhere you would feel that prior knowlegde of Visualization is necessary to assimilate the concepts taught.
Lectures are great and so are the videos. The team really must have worked hard to make this course interesting. Loved it!
創建者 Klaus-Dieter W•
This was a pleasant experience! Fiddling with the bar chart to remove labels and ticks on the y axis, as well as the annotation of the percentages on top of the bars turned out to be more work than expected, but is was fun! I had not used Choropleth maps until now, so this was really cool. Folium is awesome! Supposed that you plan an update of the course, you might want to take into consideration that the more recent versions of Folium seemingly had a change in the way Choropleth maps are called.
In summary, thanks a lot for putting a lot of work into this course!
創建者 Рашид У•
Жаль, что я не начал знакомство с Python вообще, и с данной темой в частности, с данного курса. Но лучше поздно чем никогда . Все курсы данной специализации от IBM заслуживают высшей оценки - такой проработанной подачи материала, такого уровня подготовки я не встречал.
Все курсы из данной специализации - это готовые методички, которые можно потом использовать в повседневной работе. Ничего лишнего, всё по делу. Спасибо всем, кто принимал участие в создании курсов данной специализации от IBM - я восхищен!
創建者 Hoang V A•
The course is great , especially with the support of the instructor. However, because we do not have solutions for final assignment, I do not know whether my code/code structure was appropriate, efficient, effective, smart, tidy even the result was correct. Code structures also my concern. I coded 5-6 lines, steps to get the correct result while others may use only 1 line to get one. That's really matter i think so.
創建者 Md. A A J•
This course focused on hands on examples for practicing Matplotlib and python on IBM cognitive lab for data visualization using different tools. Also all videos and lecturers made are great and helpful to show graph, plot , charts and maps. The course contents are clear, precise and lecturer is very knowledgeable.
Joining and getting help from course mates and moderates in discussion forum is Excellent!
Ashfaque A. Joarder
創建者 Rahul B•
Firstly, I want to thank wholeheartedly to the instructor Alex Akson sir, all the lab sessions were great. The content was very elegantly balanced as it was neither hard nor easy, I feel like I learnt a lot of things. The explanation of every plot/topic was very easy . Final assignment took a little bit more time but it was totally worth it. Thank you again for teaching this course. I appreciate all your efforts.
創建者 Ge W•
I enjoyed this course and learnt a lot. I did not have many problems and did not mind the change in tool mentioned in other reviews. Ultimately code is code regardless of the interface - if learners can better focus on concepts by temporary switching to another tool, then it is fine for me. The final assignment was problem-free for me - I do not know if this was because of recent updates or just luck.
創建者 Deborah B•
This course was fun, interesting and challenging. The final assessment was a true challenge because it require a combination of materials that were covered in the course, but also required a bit of additional information and expertise as well. Finishing those assignments gave me much more confidence in my ability to perform these kinds of assignments in real engagements and assignments.
創建者 Pola A N J•
One of the best courses in the certification. The assignment is tougher than previous courses and that is one of the reasons I loved the course. Also, the labs are very well structured and presented. Gives a nice overview of Pandas in the 1st lab.
Overall, I think this instructor is very good at communicating his ideas and has a good grasp on what his teaching goal and methodology.
創建者 RISHI K•
The course contains a good length of data visualization knowledge with python . This course contains number of hands on labs and notebook session which is an excellent feature to enhance skills i.e. practical work is more as compared to the theory work .
The lectures are beautifully taught and designed by the Alex sir .
Thanks to Coursera and IBM , and a big thanks to Alex sir .
創建者 Maximiliano E•
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.
創建者 Michio S•
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.
創建者 Nataly O•
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!
創建者 Mats B F•
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.
創建者 Senthamizhan V•
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.
創建者 Toby O•
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.
創建者 Eleni K•
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 :)
創建者 Eric H•
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.
創建者 Sumanta S•
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. .
創建者 Cassandra d C•
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!
創建者 Himanshu P•
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.
創建者 Samuel K N•
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.
創建者 Orsolya N•
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.
創建者 Colton R•
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.
創建者 Vagner M•
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.