It said this course is supposed to be for people without a technical background. 4 min videos speeding through key information is not my idea of learning. I am super frustrated with this learning process.

I completed the course in 2 months and dont feel like I know how to actually code. Multiple modules had code that would not run in the coding environment. Im going to Youtube to actually learn python.

Really hard for beginners. Not a animation or something. I would use something else if you cant code python. Even for me who had a bit experience in it - it was overwelming.

One of the worst courses/attempts at teaching something I've ever seen. Datacamp Python is a million times better and this random book I bought was way better.

Lesson gives a very fast overview about Python. Not recommend if you want to learn python with limited knowledge about coding. Please try another course.

Badly explained, information overload, spelling and grammatical errors, no consistency - overall I would do another component for Python, this was awful

Labs are garbage (only half of them load, most of the info in the lab is not covered by the video, we don't use an interpreter), videos are too fast

Weeks 1-3 were really good, But the lessons in weeks 4-5 were really were incomprehensible and it was really hard to understand things

Trash. Have someone who knows how to put together a course rewrite this. The ordering is wrong and it skips steps. Very bad.

It should be much more better explained for a true beginners. Also, there are many corrections needed.

Pretty disorganized. It did not seem like staff were experts. Lots of mistakes in the code.

A lot of not-working codes and tasks unable to solve based on the lessons taught before

Lab is not working. I am not able to access any of the hands-on lab exercises.

Python for beginners... it teaches nothing about data or AI or development

its very bad, not clear and the videos doesnt explaine any thing.

Lots of ambiguous statements, and sometimes inconsistent content

very poor course fuck off coursera

worst python course ever

assignment problems

Labs don't work

Very very basic

I recently joined the "Python for Data Science, AI & Development" course as part of the "IBM Data Science Professional Certificate" specialization on Coursera, and I am thoroughly impressed with the quality and depth of the content. This course is a fantastic introduction to Python, especially tailored for those interested in data science and AI development. The instructors did an excellent job of breaking down complex concepts into easy-to-understand segments, making it accessible even for beginners. The hands-on labs and assignments were particularly beneficial, allowing me to apply what I learned in real-world scenarios. The Jupyter Notebooks provided a practical environment for coding, which helped reinforce the learning experience. I appreciated the comprehensive coverage of Python libraries such as Pandas, Numpy, and Matplotlib. These tools are essential for data manipulation and visualization, and the course provided clear, practical examples of how to use them effectively. The integration of AI topics added a unique dimension, highlighting Python's versatility in this cutting-edge field. Overall, the "Python for Data Science, AI & Development" course is well-structured, engaging, and highly informative. It has equipped me with valuable skills that I can apply in my current projects and has significantly boosted my confidence in using Python for Data Science and AI Development. I highly recommend this course to anyone looking to enhance their programming skills and dive into the world of data science and AI.

🌟 Excellent Course! 🌟 As a beginner in Python and Data Science, I learned an incredible amount from this course! It took me some time to complete, but every effort and moment invested was absolutely worth it. The course provided comprehensive and hands-on practical sessions that greatly enhanced my understanding. It covered Python basics, data structures, OOP in Python, file handling, APIs, REST APIs, data analysis, data visualization, and web scraping. Before starting, I had no clear vision of what being a data scientist entails—but now, I have a much better understanding of the field! One of the highlights was the exposure to powerful libraries such as Pandas, NumPy, JSON, BeautifulSoup (bs4), Requests, Matplotlib, Plotly, OS, and more. The way Pandas and NumPy were taught was outstanding, with sufficient resources to aid in learning. The extensive lab sessions with multiple APIs provided hands-on experience, making me comfortable working with APIs—not just understanding their definition, but actually knowing how to use them effectively. A particularly exciting discovery for me was the Candlestick chart, used to analyze cryptocurrency trends. Plotting that graph opened up a whole new perspective on data visualization! Python is truly a fascinating language. Even after just scratching the surface, I have witnessed its immense capabilities—I can only imagine how much more there is to explore! 💡 Highly recommend this course to anyone starting their journey in Python and Data Science!

IBM's Python for Data Science, AI & Development course on Coursera is an exceptional learning experience. This comprehensive course equips students with the knowledge and skills required to excel in the rapidly evolving fields of data science, artificial intelligence, and development using Python. The course curriculum is thoughtfully structured, beginning with the fundamentals of Python programming and gradually delving into more advanced topics like data analysis, machine learning, and AI. Each module is well-organized, with clear explanations and hands-on assignments that reinforce learning. What sets this course apart is its practicality. Real-world examples and industry-relevant projects allow you to apply what you've learned in a meaningful way. The instructors are knowledgeable, and the peer-graded assessments encourage collaboration and deeper understanding. Furthermore, IBM's reputation in the tech industry adds credibility to the course, making it a valuable addition to your resume. Whether you're a beginner or have some Python experience, this course provides a solid foundation and the confidence to tackle complex data-driven projects. In conclusion, IBM's Python for Data Science, AI & Development course on Coursera is a game-changer for those looking to thrive in the world of data and AI. It's an investment in your future that offers both knowledge and practical skills to advance your career.

This course was a perfect introduction to python for data science. I already have a B.S. in political science which required a few semesters of statistics. We mainly used Excel and SPSS. I wish I had taken a course like this because I’ll say that I much prefer Python to SPSS and Excel. I find Python more functional but far less user friendly. What helped a lot here was that I have a background in windows and pc hardware. I also have a little experience with Linux and .bash scripting. I’ll admit, this course would have been much more difficult without the computer knowledge I already had.

I’m currently working full-time trouble shooting large 3D printers 40 hours a week. I’ve been pondering what to go to graduate school for. This course has helped with that decision. I’m leaning toward a masters in the applied data science.

I plan on taking the other data science and applied data science courses on Coursera as well. Any and all continued learning I can get will be valuable.

What was most challenging? Learning the syntax and structure of the python language. I’m still learning it and it’s going to take quite a lot of effort to master it. Attention to detail is an absolute must in programming or coding—albeit a short script or manipulating a data set.

Also, I found that the Anaconda suite was the best choice to complete the course. It was a little more user friendly than the bare-bones IDLE/Python combination.