This is the first time I am disappointed with a module in IBM Certification course. The module Python for Data Science is very poorly organized. The trainers are rushing like anything just for the sake of completing it. There are lot of confusions after listening to each and every sentences. Another big problem which I noticed is the lack of quality quiz questions. The questions are way easy that a school student can answer without any difficulty. Now comes the biggest drawback; this particular module Python for Data Science offers nothing but a display of IBM products. It has less focus on Data Science, though the course name is Python for Data Science. Sorry to give such a low rating for this course.

The content is great. Instructors are clearly subject matter experts with a passion for the material. But mostly everything else? Extremely disappointing. Confusing questions asked about information irrelevant to long-term success, labs required neither thought nor creativity, and their r typos all clover the pace.

I do not say the following lightly. I learned very little from this course, and what little information I did learn is almost certainly on a thousand random blog posts I could read for free. "IBM on Coursera" led me to expect an extremely high level of quality, one I long to see met at a later date. Right now, however, that date seems nowhere in sight. Please rise to the occasion.

The course introduces you to many concepts that you need and to what you can do with python. There comes an awfully big BUT: it does not teach you programming, to learn how to program with python you need to practice it, and this course totally fails with it giving you close to zero opportunity to practice. You need to understand that if you take this course, you will get familiar with the concepts but will not get to do any programming. Also, as it is a part of many different certificates, it does really bad in tracking what has already been taught and what has not, so it repeats some stuff and then gives you something it has not introduced before.

I just want to say one thing: there is nothing, nothing of AI in this course.

Just some Python snippets for babies. Are you kidding me ?

Sorry, but I am very disappointend. This course is related to data science, you can't put

the very basics of Python here, it is like going back, and not ahead.

If Python is necessary, please specify it in the "Prerequisites", but stop making fun of the people who simply wants to learn and study sofisticated technologies.

** Artificial Intelligence.... You call "Artificial Intelligence" making a dataframe from a file csv ?

Are you serious ? **

The worst and fake course I've ever took here in Coursera.

F.A.K.E. Course.

This course was disappointing in every way. If the next course is the same, I will certainly not complete the enclosing IBM certificate, as it would be embarrassing to put it on my resume. The questions are far too easy - many can be answered directly from the question without any programming knowledge. If I did not answer a question correctly, it was because the question was worded or formatted in an incomprehensible way. And then, there's the possibility to repeat the final test three times within 24. For real? And for the learning material... I don't even want to get started. How can IBM recommend this course as part of its certificate?

Such a promising title for a course and a total disappointment in taking it. A stingy enumeration of basic concepts, with little or no practice. From Data Science there is a short chapter about Numpy and Pandas which consists of enumerating a couple of functions. The main question for this course is: who is it intended for? If for a beginner, then the level of "understanding" after completing the course will obviously not be high. At the level of how a list differs from a function. If for an IT specialist, then the topics are not disclosed at all. Sets of loud clichés. In general, unfortunately, I was disappointed with the course.

Terrible. Rushes through concepts in 3 minutes, then dumps you in a "lab", which is a garbled word doc. I literally checked twice to make sure I didn't have the playback set to 1.5. It's like Hemingway but not in a good way, where it is succinct to a fault. I found myself having to listen back to video multiple times because it shifted concepts and I was still processing the last concept. To truly learn something, you have to process it deeply for retention. Some of the early material that reviewed data science as a whole, this pace was okay, but for the Python, which is foreign to me, I couldn't keep up. I'm moving to datacamp.

The last task has NOTHING to do with the whole course. The course teachs basic of python for data sciente without machine learning, and then it at the end expects you do everything on IBM watson. IBM Watson doesnt have a friendly interface, almost nothing is free, not easy to use and not fast since its on the cloud.

If you do other classes, you'll get a lot of python for data science, but the final test SHOULD be different and they should have put some exercise where we would do the whole path of the data sciente with python: do the exploratory analysis on the data, plot graphics on the data, etc.

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 was not a fan of this course. It feels like this course was hastily put together. The practice quizzes for the first 3 weeks are just repeats of the questions brought up during the videos. There are often concepts that are either not brought up or explained fully, that are then being quizzed on. There are typos throughout the labs. If I hadn't already had a fair bit of python knowledge coming into this course, I'm not sure I would have passed it as well as I did. I would recommend learning these concepts with a different course.

This course claims its taught Joseph Santarcangelo but yet every video is a AI women's voice that is just reading you bare bones information. This course provides information but does not teach. Coursera should be ashamed for providing lazy AI content so they can claim they are providing a course to take your 50 dollars. I do not recommend this course and instead please leave this site and go take the "Complete Python 3 Bootcamp" on udemy. I did that instead and I felt like a real human was teaching me skills.

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!