27 de feb. de 2022
Had a few issues with my IBM Cloud account and adding the Jupyter notebook but the help\response was great so was resolved quickly.
Great material that can defintely be applied to work experiences.
17 de ago. de 2021
It was an awesome and very hard experience. I struggled a lot with the final assignments, which led to me learning a lot of new things and learning them good. I am giving this project/course 10/10.
por Paulina B•
25 de may. de 2022
The videos and quizes were helpful. The assignment had lots of prompts but ultimately, for someone with no prior knowledge of Python programming, it was impossible to complete the project correctly. The task was to create dataframe and create some graphs, however, using the prompts provided it was only possible to get the yearly not quarterly data which meant that the tables and graphs were incorrect. It is frustrating as I am not sure what I am expected to know and be able to do.
por Sarah L•
23 de jun. de 2022
There were some typos in the material and overall I thought the material could have been better organized. The quizes also asked for specfic results from the labs rather than testing on knowledge of when/how to use certain tools. That said, it was okay, but of the 6th IBM courses I have taken so far, this was my least favorite.
por Joshua S•
24 de may. de 2021
Good real world application of ideas and situations used in the life of a data analyist. I just dont like how coursera / the instructors vaguely answer questions. I am still not totally sure how to complete all the codes and I feel like we are tested on things we haven't been taught in the class.
por Michel M•
27 de abr. de 2022
It was a fun course, but I think that it could have more depth in other topics, it's primarily based in Web Scraping using Beautiful Soup.
Also it says that it is an intermediate course but I think that needs more content to be considered of that difficulty.
por Terrence M•
2 de mar. de 2022
The time recommended to complete each section in my opinion is way off I'd say in needs to be increased by 10 to 15 times to sufficiently understand the material. Its no way 30 minutes is enough when now being introduced to the majority of these topics
por Shubhashish B•
13 de mar. de 2021
The content was very short and learning required lot of side research. This section is poorly designed, this is not how other coursera modules are designed. This seemed to be a rush job. Suggest adding more content and reduce the steep learning curve.
por Joan M E•
20 de nov. de 2021
Content is good but implementation is poor, course chat support is ineffective, and resources were broken. Note that IBM did offer a month of free class to make up for the tools being down, but it was last straw at that point.
por Albert K•
8 de abr. de 2021
Some information like the links to the necessary data was hard to figure out, generally I learned a lot. I would recommend it anyone who wants to learn the harder way! It is intermediate, so beginners don't get headache
por Sam K•
19 de abr. de 2021
Definitely helpful but feels shoehorned into the Professional Data Science Certificate and more instructional material and videos to understand reasoning behind the elements of Webscraping would be beneficial.
29 de jul. de 2022
The course content is good and great for beginner level. But faced a lot of issue in accessing the IBM skill network because of which I missed deadlines in the assignment and delayed completing the course.
por Klemen V•
11 de mar. de 2021
I already knew most topics. yfinance library was new to me and I fell it was not explained well. What it is, from where we get the data, is data updated? It was still fun doing analysis on real data.
por Saimon S•
9 de may. de 2021
This course is not for absolute beginners. Some concepts are not briefly explained but they are needed to complete the assignment. If these things get better then this course can offer more.
por RAJENDRAN B•
2 de abr. de 2022
Overal project assignment is good. But, using For loop for webscrapping has to be taught more in previous Course 04. Even using Dataframe is to be taught more for webscrapping.
por Bob D•
1 de oct. de 2021
The project was okay, but didn't test the broadest range of skills due to unnecessary repetition. Overall production and spelling were short of a quality educational product.
por Matthew C•
4 de abr. de 2021
Needs an answer key or a better hint guide, this took way longer than it should have. There aren't enough coding drills in this course to be coding mostly from memory.
por Michael g•
10 de feb. de 2022
as with all of these courses on coursera there is a lot of frustration. Also it takes a really long time to get feedback and thats if you even get it.
por Kshanti G•
11 de jul. de 2022
This course was more copy and pasting code and didn't really allow us apply any learned skills. Calling the course a "project" is a stretch.
15 de jun. de 2021
I wouldn't call this course a "Python project"... it's more of a lab with exercises about the previous course ("Python for Data Science")
por Chakib B•
30 de jun. de 2022
very interesting course but lack of details. May be better to add more explanations on some parts of the course
por Jon M G•
19 de abr. de 2021
I thought one of the questions required a skill that was not covered in the labs. Rest was pretty good.
por David C•
9 de mar. de 2022
good overall but the dependency on IBM cloud is time-consuming and of little value-add.
por Stéphan D•
23 de feb. de 2022
Some technical problems on IBM plateforms and some part of the course are not updated.
por Xinrang S•
8 de ago. de 2021
It's more suitable for learners who have background in Python but not new learners.
por Lucian P•
13 de dic. de 2021
A big problem with the mandatory work environment on IBM Cloud platform.
por Angela W•
7 de jun. de 2022
For such a short course there was alot of information to get through.