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    Back to Python for Data Science, AI & Development

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

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.6
    stars
    41,005 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 & Beautif...
    ...

    Top reviews

    DR

    Sep 28, 2024

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    TM

    Nov 18, 2019

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filter by:

    4901 - 4925 of 7,369 Reviews for Python for Data Science, AI & Development

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    By Carl J G

    •

    Apr 21, 2022

    Very good with loads of hands on examples. Only thing was that sometimes the cell calculations would be messed up when testing different codes, and then I had to reset kernel and go to top to reload necessary packs and run the required code lines again. I am sure there is a good way to handle this. That would have been great to get explained in the first hands on lab.

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    By Junjie Z

    •

    Mar 2, 2020

    the material of the course is awesome, the practices are sufficient and helPful. along with the videos are very clear what to pay attention to. However, the instructions for practices are sometimes confusing. The amount of different applications used were overwhelming. it would be better if work can be done in just one app instead of making many different accounts.

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    By asher b

    •

    Oct 26, 2018

    Very basic, assumes no prior programming, which is a relief for most intro courses. Would have liked a bit of what we use some of this for; the course just kinda "starts" and goes along. Lots of typos, too. Didn't like the end project. Confusing directions, and didn't really use the functions we learned about in the course. Lots of google and guesswork on my part.

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    By Bryce M

    •

    Dec 13, 2022

    This is great course with a lot of good information. I will say that it does go a bit beyond the beginner level and moves a little quick so you may need to rewatch the videos sometimes. I took prior python courses at the beginner level, so I was able to manage; however, without experience, I recommend using YouTube videos to fill in parts they kind of skim over.

    Filled StarFilled StarFilled StarFilled StarStar

    By Selvamany S

    •

    Mar 27, 2022

    Many thanks to the course designers.

    Text Analysis exercise has a very steep learning curve. Need to segment. Start with simple code, then provide the equivalent "superior" code.

    Same issue with Raptors fan club exercise.

    Had issues with wget installation. IBM cloud feature code failed. Had to use new mail address.

    It took me double the time to complete the course.

    Filled StarFilled StarFilled StarFilled StarStar

    By guy b

    •

    Oct 29, 2021

    Some part in the labs wasn't functional due to missing installation of libraries. Also in some places the code didn't run as excepted only after manipulation debugging and WA. I think that once in a while the course should run in a regression test to catch this errors.

    I believe this is due to libraries dependencies etc.

    Over all, I enjoyed the course very much.

    Filled StarFilled StarFilled StarFilled StarStar

    By Akshay K

    •

    Sep 1, 2019

    It is an amazing course where everything is taught from the basic. One can follow the lectures very easily and can apply it. Video lessons are good and test questions could be little more better, it was way simple. There will be difficulty in searching the assignment data for students but it is fine, we can look out for it. Overall, it was a good experience.

    Filled StarFilled StarFilled StarFilled StarStar

    By Bassam A V

    •

    Jul 12, 2020

    Overall the course was decent. But I strongly felt that at certain points, it went at a very accelerated pace with little explanation. I Hhd to repeat and watch some parts over and over again to understand the concepts. My only suggestion is to reduce the speed of the program for beginners to understand better. Otherwise, it is a good and complete course!

    Filled StarFilled StarFilled StarFilled StarStar

    By David G M

    •

    Dec 18, 2019

    Great tool to manage and understand how to work with Pandas and the basics of Python programming. Honestly, it is worth to do the curs even if you have no idea about Python. There are step by step manuals about how to program this stuff. It is far away from difficult! Though a tip is to try to run this on your computer and keep some examples. Great Job!!

    Filled StarFilled StarFilled StarFilled StarStar

    By Dom R

    •

    Sep 14, 2022

    It was good for the python basics. Eventhough I knew most of it, it was nice to go through and see where I still missed some things. But the part with the web-scraping and API´s was too less to really gain knwoledge. It would be better to make a own course only for that and maybe add visualisation libraries like atplotlib and seaborn into this course.

    Filled StarFilled StarFilled StarFilled StarStar

    By Charles D O J

    •

    Dec 25, 2021

    I learned a lot from this course but am trying to experiment with python on my computer as this moves forward but often encounter many syntax errors due to not learning it. I think it would be beneficial to others if syntax is explained first and some theory instead of just diving in but just my opinion as my learning style is different from others.

    Filled StarFilled StarFilled StarFilled StarStar

    By Carlos M

    •

    May 29, 2021

    This is a well-organized course that requires a certain prior level of programming knowledge, as well as commitment to studying its lessons. The course prepares the way very well for what later should constitute the following more specific courses. Again, it is a course that requires commitment and study, but you learn a lot as you dedicate yourself.

    Filled StarFilled StarFilled StarFilled StarStar

    By Deborrah D

    •

    Oct 10, 2022

    Lab is quite glitchy as it showed errors for the correct codes too. This does not help as it adds to the confusion and also makes you lose interest due to uncertainty and frustration. However, the culmination of videos and reading are great. Despite the glitches, the labs do offer oppotunities to practice your programming skills which is wonderful.

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    By Daniel F

    •

    Sep 18, 2021

    A good course for the time allocated. Touched and showed the basic of modules interesting for Data Analytics and Data Science.

    Missing start is due to there were a few steep steps in hands-on lab but I think it is needed if the course would not be too long and extensive.

    Enought to get the basic and knowledge to take other course or learn by doing

    Filled StarFilled StarFilled StarFilled StarStar

    By Nithya N

    •

    Jun 10, 2020

    Highly recommended for any beginner who wants to get into data science. The transition between beginner and intermediate is so student friendly.

    My only suggestion would be a little reduction in the speed with which instructor take class(in future course lectures), its slightly difficult to take notes. But we can we view it back, so not a big deal

    Filled StarFilled StarFilled StarFilled StarStar

    By Stephanos Z

    •

    Nov 14, 2020

    The materials in this course are very useful. The techniques in the exercises are relevant to real-world problems. The final project has some bugs that should be addressed; namely, the lab environment does not support the plotting method used in the template, and the template is not readily available but must be found in the Discussion forum.

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    By Omar K

    •

    Sep 17, 2021

    Good Course, covered ONLY the basics of Python. I did not like the tasks because they were very easy to solve, while the actual cases, problems will be much different and difficult than the one covered in the course. However, the course was just the starting point. It was good, fun, educative. I recommend this course as a start in Python.

    Filled StarFilled StarFilled StarFilled StarStar

    By Wilona C

    •

    Aug 3, 2024

    Should include step by step information on installing Python for every system. Even if not needed for the course specifically, this is important to learn and get started with any language. Beginning course material very good for Python basics. Later course material (APIs and web scraping) not in depth or quite well explained. Even in labs.

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    By Camilo N

    •

    Oct 28, 2024

    Este curso de Python para ciencia de datos, IA y desarrollo, aprendí todo lo que tiene ver con los números enteros, tuplas, listas, APIs, y en especial, los registros de datos. Son los temas que me llamaron la atención y me ayudaron a seguir adquiriendo cada vez más el aprendizaje y capacitarme para las prácticas y tener un trabajo digno.

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    By Tobias W

    •

    May 1, 2022

    Very good course, quiet enjoyed it. I am not completely clear about the payment system. Like i finished this course now, and it was 30euros/month, but i finished it within the free week. So i think i will not be charged? :D For anyone considering starting with python, THIS COURSE will put you at the right start :) PS. I never give 5 stars

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    By Aaron A

    •

    Feb 18, 2022

    I found this course extremely fun and challenging. I still need a bit more practice but I can confidenly digest and pick apart what parts of the code are doing what.

    There is a section during week 4 where it significantly jumps up in difficulty (second half). I think some of the read write sections need more examples and practice portions!

    Filled StarFilled StarFilled StarFilled StarStar

    By Jesse B

    •

    Aug 18, 2021

    Introduces you into Python in a fluid way that works will within the IBM eco-sphere of tools. If you use the tools provided (free trial periods) there is plenty to play around with while you take the course. The labs are a bit too guided in my opinion and could use some more 'learner inputs' but both explain and show the content well.

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    By Lauren J

    •

    Apr 11, 2019

    This was a solid course, despite some errors in the instructions that made it difficult to complete some assignments. I'd recommend this course for people very new to Python - it does a good job of explaining basic Python concepts (objects, classes, etc.) for someone who's never programmed before. Overall, I'm glad I took this course.

    Filled StarFilled StarFilled StarFilled StarStar

    By Gurrala R

    •

    Aug 8, 2023

    It improving skills we can learn more to develop our skills.The demand for both data scientists and data analysis will increase by over 1000% over the next few years; it's time for you to make your move. Whether you want to become a data analyst or make the big leap to data scientist, learning and mastering Python is an absolute must

    Filled StarFilled StarFilled StarFilled StarStar

    By Karl Y

    •

    Mar 11, 2024

    Some sections were very good, especially the introductory ones, but often they seemed disjointed and focused too much on a deeper but superficial understanding of a few topics at the expense of a broader understanding of Python as a whole. Examples and labs frequently used commands and syntax that were barely -if at all- explained.

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