This course is not for beginners. The contents are easy to understand but some of their questions in their manuscript are above the class level. Not only that, their manuscript does not provide a step-by-step explanation on how to go around the pages related to IBM contents such as IBM Cloud and it lefts to the learners to figure it out. I even requested assistant for navigating through IBM cloud to solve a problem and an instructor came back to me after a week. They are not fast responding either. Even after they came back the answer dose not provide a solution, extremely disappointed.

Mostly a follow along course. It failed to explain a lot of fundamental things needed to start programming in Python. Some of the resources had errors, like misspellings. The best was "color", "Color", and "Colour" for the same variable. Some things were confusing, for example looking at odd values. Sometimes that meant the element values that were odd (like in the final) and sometimes it meant the odd-numbered indices. The final has a question with two correct examples, where x can equal "7", 1, or 6. "7" or 6 both work.

I expected a lot more quality from IBM.

Home tasks are very poor, sometimes too easy and sometimes extremely difficult, and sometimes they are not present at all after given materials.

The material itself is barely ok (sometimes there are not enough functions given to complete the home task) , although I am new to programming altogether, so I can't really say for sure.

I was so eager to go through the whole program Professional Certificate in Data Science, but now I am going to swich to another platform and course, which looks much better (more expensive also).

IMB obviously does not care about its courses:(

I belive that half of the 5 star review are fake.

The course starts at a beginner level, then from week 3 it become difficoult to follow for someone who has no experience on programming. Half of the informations that you need to complete the various lab are not given or given partially.

The quality of video and audio can be considered as a joke.

I 'm half way through the course but i'm thinking of quitting and start from the beginning with another developer.

I will avoid any course offered by IBM from now on

This is the first introduction to python in the IBM Data Analyst professional certificate, but the course introduces too much too quickly, and fails to explain a lot of important concepts.

The graded quizzes are too easy, but the exercises really vary in quality and whether they are at all connected to what was discussed in the video. Sometimes you're asked to do things not discussed or previously shown.

The slides in the videos aren't great either.

I found it really frustrating to get through this course.

I have no idea how 2+2 suddenly got to sin, cos and other complex functions. The week tests are laughabale comparing to what the final assessment is. The course is not poorly structured but weeks 3 and 4 lack consistent practical tasks. I did MySQL course previously and it actually provided you with a chance to practice step by step. Here you feel like being thrown into a swimming pool without knowing how to swim. To make it clear - do not waste your time, watch youtube or pick up a different course.

Honestly these courses are so buggy, the lessons are either oversimplified or too complicated, I don't feel like I learned a thing. The whole process was incredibly frustrating. The moderators are helpful and answer your questions quickly and fix your problems, but having so many issues is really disruptive to the learning process and I feel like I'm going to have to do a lot more independent studying to actually learn the skills this course was supposed to teach me. I don't recommend taking it.

You learn some basic python coding skills. The pain point is the peer graded project where you have to sign up for an IBM cloud account and Watson Studio account. They are irrelevant to python skills. The instructions (how to set up the connections, buckets, servers, credentials, keys, etc.) are lacking clarity and have sizable gaps. I spent hours struggling with cloud which did not add value in gaining python skills. I would not recommend this course to people who want to learn python.

The course is too much thery based. Real life assignments and course work are almost zero. Libraries like Pandas and numpy are very importent but they covered it just for 5-10 minutes. and definately these are not complete. Also they did not work with any graph. Overall I was impressed with the first three courses of Data Analyst professional certificate but this most importent 4 th course just broke my expectations. Totally poor quality of work. I wish I could give zero star.

On top of the fact that the information in the videos and lab is presented in an incoherent manner (with multiple typos and unclear instructions), the course does not attempt to connect the various uses of Python with data analysis. The videos quickly explain what a certain aspect of Python does, then moves onto the next without explaining why the function is needed, how it relates to other functions, or how it can be used in the real world. I am going to ask for my money back.

being forced to take this for part of the IBM data analysis certificate, however this is way above my head. I dont plan on being a data scientist and dont have any prior knowledge of python. This course assumes you know more than you do and is nearly impossible. I used the quizzes only to progress in the course, and didnt actually learn anything. I will need to take a python for beginners course before being able to finish the final project for this course so I can pass it

I think it is OK when talking basic python programming but very poor when goes to pandas.

It introduce few function that pandas used. TBH, I think it is almost near no introduction.

Besides, the most funny thing is that the quiz covers some functions that never been introduced in course.

Finally, I don't understand why they continually try to introduce their walson studio during the course.

It just take a lot of time to interrupt studying and gain nothing

lots of errors, can't believe they want to charge for this. Requires signing up with IBM Watson for several exercises which I refuse to do (more than a little advertising going on here). I'm pursuing my programming objectives by downloading Jupyter Notebook tutorials. These are more convenient and of higher quality. After completing the Stanford ML course, this particular tutorial came as a real disappointment. IBM can do better.

I speak for almost everyone who's taken this course in saying that the final assignment was the absolute worst. It's terrible not because the concept was difficult (it's not at all), but because the assignment instructions were so convoluted that it took me at least two hours to complete even just setup. The assignment itself should not take more than 30 minutes. Please update the instructions for the final assignment. Please.

Pros: Good introduction course, thank you!

Cons: Typos after typos (from comments one could see many have complained about it, for a long time now). The instruction screenshots for setting up the cloud don't match the actual page, difficult to follow instructions. Occasionally outdated methods/functions, which have been removed from the latest version of Python. It's just not what you expect of a reputable company such as IBM!

Not only is there little to no help with this course, it is the most confusing course I have taken in many years. This is not an introductory level course but for someone who has some base understanding of Python. Do not take this course unless you have to, I did not come out of this course understanding much at all about Python. The modules for each 'week' , in particular the quiz/test are not helpful for the final project.

After I payed, the app they use, wouldn't let my into the labs. Even before that; the labs were full of programming errors. Usually in the most confusing areas. The app that bills me work fine though. Nobody to complain to. No way to ask questions. You can't revisit the problems. because they auto save your work. if you accidentally change part of the lab it is changed forever. All you can do is move on. Confused or not.

This is an awful course for learning python and data science. It moves quick through concepts, but worse it jumps through them and they are not tied together in any meaningful way. It appears to be a marketing campaign to get people to try IBM Watson services. I am grateful I too this course as a supplement after learning Python and Data science fundamentals otherwise I would not have been able to finish it.

While the course material is ok the final assignment is the most frustrating waste of time ever. Specifically question five which has you, a complete novice at python, attempt to upload your assignment to IBM's cloud service using code that is so complex that after 5 hours i simple gave up and submitted hoping hat someone would just pass me out of pity, Avoid this like the plague and go learn on codecademy.

Learn experience is very low. There is a lot useful content about python in the course. Unfortunately its basicly watching a video and later repeating it in the laps without relevant transfer.

The worst is the final assignment. It is nothing about producing somethin own. Instead you simply repeat given code. The forum is full of people struggling with it, although they do not need to programm on their own..

Course was taught well.

There were a couple times that I was extremely lost without direction.

If you look at the discussion, for week 5, everyone has the same question, looking for the location of the data for the final. You really have to dig to find it. Like they could have easily posted where the file/data was. I spent more time looking for that document than I spent doing anything else

You can pass 99% of the modules by running the pre-written code. There's limited options to meaningful engage with the course material and apply it except in examples. Al the mini tests are just pop ups from the lecture. Please set some progressive coding exercises that build on previous lessons rather than require us to recall something from the first module that we haven't used since.

Terrible course with ugly presentations and even mistakes in presented Python syntax. Moreover, there were logical mistakes in presented Python code (in conditional statements). I would be happy to add a screenshots here, so people could see how poor this course is!

So low quality course spoils the reputation of such brands as IBM and Coursera !

In general it is waste of time and money!

There were so many errors written into the “instructor” provided code, it made it nearly impossible to approach the quizzes/labs with any confidence. I’ve taken 7 online courses, some through Coursera, some through other providers and have always had positive experiences. This is my first bad experience. I will retake this class somewhere else starting tomorrow. I do not recommend.

This course could really do with a thorough review. There are parts that I think are good, such as the overall learning journey that has been mapped out, however, the multiple-choice exams are incredibly poor. Not only is there little proper assessment within this course, but there are also entirely incorrect questions. For a course I have paid for, I am very disappointed