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Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM

4.6
stars
39,102 ratings

About the Course

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles....

Top reviews

MA

May 16, 2020

The syllabus of the course takes you in a roller-coaster ride.

From basic level to advance level and you won't feel any trouble nor hesitate a bit.

It's easy, it's vast, and it's really usefull.

TM

Nov 17, 2019

it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.

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26 - 50 of 6,980 Reviews for Python for Data Science, AI & Development

By Jakub M

•

Feb 13, 2020

I am sorry but this is simply terrible.

I thought that Data Camp courses could use some work but after this mess - I am gladly returning to them. Save yourself some money and buy a decent book or watch videos on YouTube.

My complaints:

1) The final assignment doesn't load - I would probably force myself to finish this whole certificate, but I am not able to load the final assignment. Many other people have the same issue. What the hell is this?

2) Videos are very low quality - badly edited PowerPoint presentations read by a robot lady voice. No good examples, no engaging elements.

3) Quizzes are a joke - I can bet anyone 5$ that you will be able to pass most of them without watching a single video.

4) IBM tools overall - you use Jupyter notebooks here through some IBM site. Terribly complicated to set up, loads a while, and notebooks are not very high quality (compared for example with Data Camp). Why not encourage the user to download some Python IDE on their desktop and write the code by themselves?

Lesson learned: choose universities, not companies on Coursera. Not taking further courses in this certificate. Spend this money on a book, do some simple projects and put them on a GitHub account - this will be worth 10x more as this joke of a certificate.

(First course is worth taking for sure - enjoyable, high quality)

By Jason C

•

May 9, 2019

The final assignment changed during the course from fake album cover to economic data analysis and dashboarding.

The code provided in the work book was incomplete and not sufficient to generate the dashboard in the note book.

Instructions were not sufficiently clear to help the students figure out how to create a url link to their dashboard.

By Patrick P

•

Jan 27, 2019

Looks like it was made by an intern. Unclear instructions and terrible video quality.

By Keynon K

•

Mar 8, 2021

The course goes from informational video, to a lab explaining the exact same information as the video, then an impossible exercise within the lab comprised of information that was not covered in any of the previous sections, and then a quiz containing material covered.

With the current flow of the course one is able to retain the theories discussed but absolutely cannot generate the code from scratch if asked to.

I have completed the entire Introduction to Data Science Specialization, which did a terrific job of compounding information on top of each other, building up to the final assessment that you've now been prepared for. I was extremely disappointed that this course was not as well put as the first program. I am now skeptical about the remaining courses in the Certification programs I plan on pursuing.

By EE-043-Arpita M

•

Sep 25, 2022

it becomes easier wand clearer when one gets to complete the assignment as to how to utilize what has been learned practical work is a great way to lerarn which was a fundamental part of the course.

By Sukanto M

•

Feb 27, 2019

Good course but final assignment is very poorly designed in terms of instructions.

By Rebecca H

•

Feb 28, 2021

Quite honestly, I am frustrated with this course. The material was generally good, but the content often had typos, odd phrasing, etc. which just made it more challenging on top of learning this new language. I also found the course exercises (particularly weeks 3 & 4) were not at the "beginner" level--I was able to pass quizzes and and do the assignments just fine, but the exercises would always come out of left field, pulling from concepts I hadn't yet learned. I ended up doing a lot of researching outside of the course content on my own, which I'm not opposed to, but that is certainly not how they marketed it and made me feel like there was something wrong with the way I was learning, when it was really the way that they were teaching the material. I was grateful for the course discussion board, where a lot of people expressed similar frustrations and it made me realize I am not alone in this and often gave me good resources to review.

By R D

•

Mar 21, 2023

I recently completed this Python training course hoping to gain a strong foundation in Python coding as needed for the IBM Data Science certificate. Unfortunately, I was disappointed with the quality of the course and found myself having to rely on other resources in order to understand the concepts, pass the course and gain credit.

The main issue I encountered was the poor quality of the instruction videos, which are crudely produced (think awful PowerPoint graphics) and lacked sufficient explanations, in fact, the labs just duplicate the videos but have slightly better explanations. The poor video quality made it difficult to understand what was being said, and the videos did not cover all the necessary aspects of Python coding, leaving me feeling ill-prepared to apply the concepts in real-world situations.

Overall, I would not recommend this Python training course to anyone who is new to Python coding and seeking a comprehensive understanding of the language. The course was not worth the charges and I was left feeling disappointed.

In summary, I would advise those seeking to understand Python coding to look elsewhere for a more thorough and well-executed course.

By Troy L

•

Mar 31, 2019

The lessons are very concise, the most fundamental concepts are taught appropriately, and beginners can learn quick. The exercises are not too hard to make you lose interest, and not too easy that they become boring. I was totally immersed in the course so I found this greater than any physical classroom lessons. 6 STARS!

By Divyabhanu S R

•

Sep 28, 2024

This course was really helpful in make me understand all the topics of Python from scratch, including the slightly advanced topics, of APIs, for my level as a freshman just getting settled in college.

By Prannoy J

•

Dec 1, 2020

It is a good course and teaches with the basic of Python so that anyone can understand it very well. Videos are good and can easily be understandable to anyone who is new to Python and Data Science.

By Thanh N N

•

Mar 1, 2019

Excellent outline. This course performs fabulous way for beginner can achieve the python language effortlessly.

By JAMES C

•

Mar 31, 2019

Very high level overview of Python. To gain skills, you will need lots of practice outside of this class. Good overview. Lots of typos - could use a good proofreading.

By Alvaro F V

•

Nov 12, 2018

The course covers the content taught in a very superficial manner.

I do not think that after completing this course anyone is able to use python for anything really. The course does do a decent job of introducing you to the very basic principles. It simply was not what I expected.

The time estimates are way inflated. This course can be completed in 1 week.

The final assignment is not at all challenging. The course makers provide the code that does the hard part.

The final assignment's instructions are outdated (screenshots are), unclear and could defenitely be polished for clarity. It's evident that the course makers have not QAed their course recently at all.

By Damir G

•

Nov 28, 2020

It was very hard for me to follow as I have near to zero programming experience. It's a problem with all Python courses for beginners, on all platforms, it's not for complete beginners really, you need to have the basics of programming prior to that as the instructors in the videos and training materials operate with the terms and concepts that are very hard to understand for non-programmers. The weeks 3 and 4 are especially hard to understand as the complexity of the new terms gets sharply a lot harder to understand, and a lot of spelling and grammar mistakes also give an impression that the authors didn't really review the material before posting it.

By Antonio P

•

Feb 22, 2019

This is a terrific course. I would have wanted to give it five stars, the only issue is that some of the videos had incorrect examples.

By Abigail J

•

Sep 21, 2019

Not a beginner's class but a sufficient survey/review of Python for people who have seen it before. Much like some language classes will prepare you to read French but not to speak French, this course will probably prepare you to read Python programs but you won't be sufficiently prepared to write your own. Does not provide opportunities for meaningful practice.

The instructions in the videos are often vague or misleading (especially with naming of variables) and there were several instances where I (an "advanced beginner", generously) had to de-bug the examples and instructions in the Labs to get them to work.

IBM was clearly sloppy when they put together this course, and that is reflected in the quality of the learning you'll obtain. Again, a fine generalist's overview but will not prepare you to use Python in a meaningful way.

By Mya S

•

May 20, 2019

I learned a fair amount in this course. It was a good anchor with which to start learning Python. However, I don't know if I can recommend this course in its current form. There were so many typos that they rendered the 'correct' answers for some test questions incorrect, and I'm left wondering what wrong answer to choose from. The instructions for the final project were so unclear that I ended up having to do several workarounds -- including setting up a whole new IBM Cloud account, as well as going to Stack Overflow and YouTube to find solutions. After the typos and the poor instructions are fixed, then I would rec

By Andres F

•

Feb 15, 2021

Some exercises in the Labs are definitely not for beginners, especially during week 3 and 4. The course does not give you enough resources to be able to resolve those exercises and only gives you the answer, which is rather advanced and involves knowledge from outside this course.

Apart from that, the course is fine, but that experience might be a bit disappointing for someone who is just starting with Python.

By Jasmine H

•

Sep 1, 2021

Instructor responses (and lack thereof) leave a lot to be desired - Seems like a lot of people have the same issue in week 5 that hasn't been addressed. This course also frequently presents code that accomplishes a task without explaining *why* the code accomplishes a task, and will introduce a term without explaining it (ie throwing "parse engine" into the mix with no explanation). Additionally, the lessons are very content-dense, but quizzes are both remarkably short and very far apart, meaning they cover very little information. The final exam contained no feedback regarding which answer is correct if you answer incorrectly, which is frustrating as it deprives you of a final learning experience. Overall I would not recommend this course and would recommend an in-person, or at least real-instructor-led, experience for this topic.

By Andrew O

•

Dec 30, 2018

Honestly this course isnt very good. Lightning quick wizz through Python and the final test was barely related to the learning materials. The process of test submission is very poor.

I think this course overall reflects badly on IBM.

By Hakki K

•

Jul 9, 2020

Hi,

I completed entire program and received the Professional Certificate. On the Coursera link of my certificate "3 weeks of study, 2-3 hours/week average per course" is written. This information is not correct at all, it takes approximately 3 times of that time on average! I informed Coursera about it but no correction was made. It should be corrected with "it takes approximately 19 hours study per course" or "Approx. 10 months to complete Suggested 4 hours/week for the Professional Certificate".

Here is the approximate duration for each course can be found one by one clicking the webpages of the courses in the professional certificate webpage: (*)

Course 1: approximately 9 hours to complete

Course 2: approximately 16 hours to complete

Course 3: approximately 9 hours to complete

Course 4: approximately 22 hours to complete

Course 5: approximately 14 hours to complete

Course 6: approximately 16 hours to complete

Course 7: approximately 16 hours to complete

Course 8: approximately 20 hours to complete

Course 9: approximately 47 hours to complete

This makes in total approximately 169 hours to complete the Professional Certificate. As there are 9 courses, each course takes approximately 19 hours (=169/9) to complete.

(*): https://www.coursera.org/professional-certificates/ibm-data-science?utm_source=gg&utm_medium=sem&campaignid=1876641588&utm_content=10-IBM-Data-Science-US&adgroupid=70740725700&device=c&keyword=ibm%20data%20science%20professional%20certificate%20coursera&matchtype=b&network=g&devicemodel=&adpostion=&creativeid=347453133242&hide_mobile_promo&gclid=Cj0KCQjw0Mb3BRCaARIsAPSNGpWPrZDik6-Ne30To7vg20jGReHOKi4AbvstRfSbFxqA-6ZMrPn1gDAaAiMGEALw_wcB

By mike g

•

Apr 25, 2019

Super fast and the examples don't help for the final lab. The final lab is extremely difficult and there is almost no support or guidance to help you with it. Waste of time. I could have paid for a better python course.

By Caylee D

•

Dec 12, 2019

All the basics for Data Science with Python. You wont be a master programmer after this class but you will understand the basics and computer logic in regards to data handling and cloud management.

By ImprovementWave

•

Jul 30, 2021

Great course! 

easily accessible online Labs for immediate practice. No need to waste time dealing with the issues that come up when downloading, installing & setting up a development environment.