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Mostly negative reviews are because people didn't complete previous 4 courses. This project is a satellite for the previous course, and sure it is helpful, as teaches you skills, which you can actually share, let's say on Linkedin. I'll give 4 stars, because in general the course is well structured(as well as specialisation), packs you with all the necessary skills to strat Data Science journey... BUT the lab is in Jupyter Notebook, which is fine, but certain coding moments are whether outdated or pre-coded. That's the problem, I think. Isn't it better to make labs, which have materials you can recreate yourself in Jupyter Notebook from scratch? One of the solutions I see is to update the lab more frequently, and what's more important, review it by beginners, so that they can ask questions and spot the moments, which may be easy or too obvious for creators of the lab.

This part needs to be fixed: I am trying to paste this link into the Notebook URL box but the provided URL might not point to a notebook in a valid format. Should I go ahead and Create the notebook? https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/labs/Module%204/PY0101EN-4-3-LoadData.ipynb?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-wwwcourseraorg-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2022-01-01

The course is generally easy to understand. However, the course title suggests a comprehensive coverage of various aspects of Python and Data Science, rather than focusing solely on data scraping. Additionally, there is ambiguity in the requirements for the final project. While the provided websites include both annual and quarterly revenues for public companies, the assignment only mentions 'revenue' without specifying the type. This lack of clarification resulted in the need for me to redo my project, causing unnecessary time wastage.

There are parts of the final assignment that were frustrating because they required skills that were not thoroughly covered in the course material, so I ended up having to turn to other resources and look through documentation for pandas and beautifulsoup to find what I needed. This extra challenge made it more rewarding when I finally did figure out how to complete the tasks, though, and the process felt more analogous to how a data scientist would operate. Overall, I would recommend this class since it does provide helpful skills.

Great intro into webscraping and doing some practical tasks. However some code provided by authors of labs was outdated and I received warnings: -The argument 'infer_datetime_format' is deprecated and will be removed in a future version Or: 'DataFrame' object has no attribute 'append' 'DataFrame' object has no attribute 'concat' So that was frustrating and I do not have a good impresion that the authors were using up to date practises and correct methods. It's IBM course right...

As part of IBM data science specialization,it is good so far. Instead of project,it is an exercise with a little challenge the disadventage in this course are:

1.IBM cloud is limit to 30 days if you enroll specialization it not enough

2.It different when you use your local Jupyterlab and Skill learn (IBM) Jupyterlab in the course

3.It not a perfect instruction and take time to search some solution on internet even if you learn previous course.LOL