I am taking this course as a part of IBM Data Analyst Certificate. The program became suddenly and irrelevantly challenging with this course. Why do i need all these stuff? And the things are passed so quick that it is impossible to catch up with the speed. Doesn't tell properly why sth is done in order to do what. It does not teach the logic but rather it enforces memorization.

This is course is a primer to Python and some libraries used for working with data. It covers some of basics of what certain tools can do for you, but doesn't really cover how to think or plan to do things in Python. If you're already a programmer maybe this will be sufficient, but if you're new to programming it may not give enough of a foundation about how to think in python.

There are some errors. Additionally, I couldnt get some of this code to work on PyCharm. It isnt much help to learn code in jupyter notebook, if I cant figure out how to install these libraries and use this code in PyCharm/Python. ALso, that Watson lab about language translation seemed to be more complicated than it should have been. I dont think I was prepared for that.

The course in general was quite good, but it is full of typos in the labs and to be so much time online and still have so many errors speaks very bad of the service that IBM/Coursera have contracted to moderate the course.

On the other hand, the fact that the videos and the labs say the same thing makes either the video unnecessary or the first part of the lab useless.

Pros: Concise, Informative, to the Point, Hands-On

Cons: Videos narrations were linear and fast, but you could catch in the lab of course. Not for once, I did not interact with the instructor. Some content was just mentioned at the end which I believe was having much for weight and could elaborate more.

Thank you for the effort and time to bring education to the world.

The course itself was good but the final assignment seemed inappropriate for this entry level course. Specifically, the final assignment relied too much on pre-prepared code that was not introduced in this course and did not test very much of the knowledge of the course. Overall, the learning materials are good but the assignment wasn't a great end to the course.

This is like an 'introduction to some Python capabilities', as you need to study further by yourself to be able to do anything meaningful. Also, some pieces of code were not explained adequately/ not running on a Windows system. Studying material could be found in the labs section. This course was the first in the series that seemed to me like work in progress.

This course is comprehensive, but so easy. I haven't found any challenge during studying it! The concepts are delivered in a good way, yet the labs are just repetition of the videos. There's not enough hands on exercises. Everything is with the answers and you got not to try by yourself enough. It would be much better if more challenging exercises were added.

The quizes involving API seem to have technical problems after running the codes provided. Also, in the final assignment, the credentials to be used in the optional exercise don't have information on some of the important inputs for the json file such as access key. Also, the tutorial which was specified is this part of the assignment was hard to find

As a first time learner, I definitely got a fair amount of info from the course, for which I'm grateful. However, I found the production and editing of the course material extremely sloppy. In the videos, the material is presented at a breakneck pace and the slides are rife with typos, not a great thing for course focused on learning/memorizing syntax.

There are a lot of errors in the Notebooks in this course. Some grammar is so bad I can't understand what they mean, lots of typos and spelling errors. The notebooks also did not have quiz sections to apply my learning. Working out new problems using skills I learned is an important part of my learning process and was useful in previous courses.

This course is a bit of a mess, especially the latter 2 modules. Module 4 should be expanded to 2 weeks. It should have way more hands on work with data files- opening, organizing, analyzing, visualizing, and loading. And Module 5 (webscraping) should be scraped from this course, as it's an odd fit and is done too superficially to be of much use.

Many of the functions and methods used in this course, especially those in pandas, have been deprecated since this course was written. The course should reallly be updated to reflect these changes. Also, the description of the final project describes analysing housing market data, but the project itself is on GDP data. This also should be updated.

The hands on lab notebooks for python were not all that great. Some of them even having syntax errors without any input from me. As someone who is learning the skill it was at times frustrating that the lessons that were given to me in that state wasn’t a one time thing, and I was expected to learn from it when it was in itself not right at times.

The course content is great but the peer review exam is confusing. You really have to bring a lot of patience and determination in answering the final quiz. The resources are not in the content, and you need to research outside. Which I think was the intention (?). So bring a lot patience and just focus on breaking down the steps and instructions.

You learn how to do a lot of functional stuff in Python, but without the context as to "why" you would want to do these things in this language, I often found myself a bit confused. The lectures were a bit fast paced sometimes. It was not well explained how to actually do the work in the labs, and it was often the same material as in the lecture.

Thorough course covering all the basics of Python. The labs were a great way to practice skills i had learnt in the videos, however I found the quizzes very short and of low difficulty. I also had to constantly stop and start the learning videos as they would often race through certain slides. I'd like to see a more challenging course.

The course is concise and to the point, but I wish the topics were discussed more in depth. The material left me wanting for more and I had to use other sources (YT, Google, Stack Overflow etc) for better knowledge about the topics. This course would be well suited for someone who is looking to review their grasp on certain topics.

The course videos were pretty easy to follow along until I reached weeks 3 and 4...some of those videos (loops, functions, API) were hard to follow and the correlating lab exercise questions were nearly impossible to answer with beginner level knowledge while the lesson quizzes were too easy. Please make this more beginner friendly.

I think the course clearly covered a lot of basic steps, but in the end the explanations weren't as complete with respect to the requirements of the exercises at the end of the labs. I would have liked to have done a bit more difficult test at the end of the units, sometimes they were too simple. Overall the course was worthwhile.

Good course if you already have some experience with Python. If you're a complete beginner, this will go way too fast and you won't understand the fundamentals.

It would be better to split this course up and go through it slower, for beginners. Or mention this is a course for students with an intermediate knowledge level of Python.

There were times when running scripts on my local env didn't work and it was hard to find the resources to continue. In addition, there were a few grammatical errors, syntax errors (that weren't caught and led to the wrong answers). It was still helpful, but I wish it wouldve been a bit more structured and explained alternatives.

The videos went a little too fast. The questions embedded in the videos interrupted the dialog and often asked a question about something the speaker hadn't finished covering. I had trouble with the labs not loading several times (on two different computers). I think some of the quiz questions actually had incorrect answers.

Very much the sort of class where you get out as much as you put in. The labs are alright if you experiment beyond what's requested, but just doing the required questions doesn't teach much. The videos are often vague or misleading and sometimes outright wrong. Only bother if you're willing to do extra research on your own.

please give proper directions on how to use watson studio.

give proper directions on how to display he dashboard and URL in the assignment

give proper directions on how to get the url

explain the steps for the same

ps: there are people with no prior coding knowledge do consider them and do provide proper directions for the same