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.
Best course so far, under the IBM Data Science professional certificate program. It is heavy on the practical side, which is a good thing as it gives the person a more hands-on experience.
By Albert K•
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
By Sam K•
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.
By Klemen V•
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.
By Saimon S•
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.
By Bob D•
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.
By Matthew C•
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.
By Katrine T•
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")
By Jon M G•
I thought one of the questions required a skill that was not covered in the labs. Rest was pretty good.
By Xinrang S•
It's more suitable for learners who have background in Python but not new learners.
By Lucian V P•
A big problem with the mandatory work environment on IBM Cloud platform.
By Krishanu P•
I learnt about web scrapping but this course could be much better.
By Swathy K P•
Labs and Assignments are extremely confusing but very informative
By Jason C•
Good practice project
By Rafael P S•
Nice but very basic.
By greg i•
By Montserrat C•
Final assignments involve matters that have not been seen during the course. Course should have more explanations, both video and text, and then more practice in order to settle what you have seen. It's not at all a beginners course; perhaps it could be for the matter but not for the explanations.
By Fernando M M E•
I think it isn't a good beginner course for Python. There are some things that are not explained and other that are not well explained. However, if you are following the data science learning path, I recommend you do it so you can pass to the next one.
By Lisa S•
This course seemed disjointed and the flow could be improved. It assumes prior knowledge or requires additonal work outside of the course to master the fundamentals being taught.
By Armeen A•
A lot of issues with this course. New information wasn't explained in detail and I was left with a lot of questions. Last assignment had a lot of issues.
By Miralireza N•
Not a fan of Using Watson Studio.
By Mohamed G E•
not easy to web scrapping
By MOHAMMAD A•
that not good
By Sam S•
By Yohaunin Z•
I am really not happy with this course. Several missing details and overall feeling ill prepared for the assignments (as was the case with prior courses) . Unclear instruction and missing bits of information make it really hard to progress and learn anything new without feeling like you're banging your head against the wall!!!
Classes in IBM Data Analyst track seem to be for marketing purposes. They force you to sign up for IBM products, provide your personal information and credit card number, and then it doesn't even work. You really don't learn much in the actual classes, they just seem to want to advertise IBM products.