An excellent course, provided by IBM, which does precisely what it says on the tin; providing a pretty solid overview and foundation for the applications of data science, AI and development tools using python. There is a lot veered, and you really do get out what you put in (so it is worth reviewing and revising the logic behind certain applications covered, in order to ensure you really have a decent grasp of how they work). This covered most of what I had hoped it would, and ties directly into the next course I had chosen in advance of deciding to complete this one.

I recently completed the Python for Data Science, AI, and Development course and found it to be incredibly informative and practical. The course covers the fundamentals of Python programming and delves into advanced topics such as data manipulation, machine learning, and deep learning. The instructors' clear explanations and hands-on exercises made complex concepts easy to grasp, and the inclusion of real-world case studies provided valuable context. Overall, I highly recommend this course to anyone interested in mastering Python for data science and AI applications.

Great overview of Python. It's quite a useful quick brief explanation of how touples, lists, sets, dictionaries, classes, defining a function, file reading/writing, logic statements, data frames, single and two dimensional arrays and a few packages work. Honestly, most of it would probably be gibberish/hard to follow if one didn't already have a computer programming I and possibly computer programming II course from a college or university under their belt. I feel like these could have been way more graded assignments/quizzes applicable and easily-made.

This is a good module for beginners in Python like myself. Great amount of examples and functions in the module which if practiced a few times will help understand them completely. I felt there would be no use in just rushing through the entire module and took time as scheduled and practiced the functions every now and then to get a better grasp.

May be the last bit on APIs was a difficult and the "nba_api" by Swar Patel was a bit sudden and I got lost.

But the final assignment was just perfect to understand my knowledge on the module.

Great introduction into the basics of Python! This course makes it easy to understand what each function is doing and how to apply said function and when to use it. Also great at visually showing what a line of code is doing with easy to understand graphs and explanations. My one con is that in the later modules, there are some portions where I got stuck with how to complete some code due to lacking the knowledge of some libraries' functions. It wasn't explained all that well in the videos but other than that, great course!

Course was awesome A little more than what I expected. Found the topiscs of webscraping and the Watson Studio tasks quite enjoyable - but was reminded that this is a professional path. From prior experience, such topics are included in advanced levels. Was highly appreciative of the quick responses from the staff in the FORUM. This was not my experience from other COURSERA courses. The support team is tremendous. Kudos to the course lectuer(s) and those who faciliated. Great work. Awesome learning experience.

The course content was both enriching and comprehensive, significantly enhancing my understanding of Python fundamentals, including Data Science and Web Development. The lab practices and projects were detailed and exhaustive, providing an enjoyable and practical experience that solidified my learning. I am immensely grateful for the opportunity provided by IBM and Coursera; their exceptional work in transformative education through technology deserves high praise. Kudos to them for their outstanding contributions!

Classic! For someone who has never programmed in his life but is gritty enough to make it to the field of Data Science, this course is a must. The way even most complicated concepts are explained smoothly and easiely, just loved it. Labs are exceptional. The way this course caters to the need of new programmers is highly appreciable. This would surely motivate budding Data Scientists and would instil much needed confidence in them.

No doubt much effort was put to make this course the waay it is. Loved it!

The Python for Data Science, AI & Development course for beginners is fantastic! It's beginner-friendly and offers clear explanations. The course covers all the essentials, starting from the basics and gradually advancing. Hands-on exercises provide practical experience and boost confidence. The course materials are well-structured and serve as helpful references. Highly recommended for beginners interested in Python for data science, AI, and development. Kudos to the instructor for an excellent course!

Very comprehensive course for a complete beginner like me! I have to recall high school maths to be able to understand some of the principles like list, tuples, vectors and matrix multiplication, hard core! I will definitely recommend this if you are serious about learning python, and also suggest you use other blogs and youtube videos to help understand some unfamiliar concepts. After completing the course, I have now installed python and spyder on my PC and am ready to do some web scraping exercise!

The 'Python for Data Science, AI & Development' course provides a comprehensive yet accessible dive into Python and its applications in data science and AI. It offers a great balance between theory and hands-on learning, with a focus on essential libraries like NumPy and Pandas. The course successfully encourages learners to explore Python more deeply, serving as an invaluable foundation for anyone keen on data science, AI or development. Highly recommended for beginners and those looking to upskill.

"Thoroughly impressed with the 'Python for Data Science, AI & Development' course! 🌟 It covers an impressive range of topics, equipping learners with essential skills in Python programming, data analysis, AI techniques, and software development. The instructors provide clear explanations and practical examples, making complex concepts accessible. This course is a must for anyone looking to excel in the world of data-driven technologies. 🚀🐍 #HighlyRecommended #DataScience #AI #Development"

The course is complete compact package, one should go through it before learning ML,AI,Data Science.

The course provide all basic knowledge of python which is going to use in other course and the use of library and functions, Spendng time on this course is total worth.

The explaination of every topics are cristal clear and the quiz is also good and the labs are the most useful one...

Thanks IBM for the course, I am greatful for that, Thanks Coursera for the course and the great help.

Este curso me encanto. Me parece que es perfecto para quienes nunca han manejado Python pueden darse una noción amplia y aprender las bases. Los laboratorios son geniales para poner en practica lo aprendido, aunque en algunas partes usan muchos códigos avanzados que no se logran entender para principiantes, sin embargo, sigue siendo ameno el aprendizaje. Muy apropiado para los primeros pasos, pero sin duda hay que continuar profundizando los conocimientos despues de este curso.

Probably the best course on data science with python on the web.

It gives you such amazing knowledge for a paltry fee that you yourself will get aw-struct by the quality of education you are been provided.

if asked to find out, the only improvement i see in this course is that they can add a bit of feel in the dub, it felt like if the dub artist had felt what she is saying, it would be easier to understand the concept.

thank you coursera for coming up with such an amazing course.

Este curso ha sido una experiencia increíblemente enriquecedora. No solo me ha permitido adquirir nuevas habilidades, sino que también ha abierto mi mente a nuevas oportunidades en el campo de la inteligencia artificial y el análisis de datos. Me siento inspirado y emocionado por todo lo que he aprendido, sabiendo que estas herramientas me permitirán marcar una diferencia en mi carrera y en el mundo que me rodea. ¡Este es solo el comienzo de un viaje lleno de posibilidades!

The course is systematically developed and clearly delivered. Through this course, I enriched my knowledge on the basic grammar of Python and acquired a new skills, just running towards my goal to be an outstanding Data Analyst. I will continue with the rest 3 courses included in the program Applied Data Science powered by IBM , with a strong belief that more values and competences could be added on myself after the completion of this program. Keep on moving forward!

This is the first time programming has made sense to me. The format and explanations simplified the material into understandable chunks. There were times a lot of concepts were reviewed at once without a lot of background (when and why would one use a list versus a dictionary versus etc., what on earth are 1 and 2 dimensional numpys for), but the final assignment did much to combine most of the material into a practical use example. Looking forward to learning more.

This course provides you from the basics of Python programming language to advanced application of using Python. Course starts with the theoritical knowledge and graded / ungraded labs gets you to the practical use of the theory learned. Next is the project short course which I recommend after finishing this course. I am very thankful to IBM and Coursera for providing this course which will help me in my career or even in finding a totally different career path.

if you are familier with programming and you are afraid of programming ,try coursera any course there you can have knowledge from the basices and you will learn everything if you are serious.

python programming for data science i will rate 4.5 only becasue at the end of course in 5th week what i see there is deifficulty in reading programming of python so please add one more week before 5th one to deep understanding of more programming and matlplotlib lib.

This course was very helpful for me to understand all the basic concepts in python. I learned how to code in Python programming language. It covered the portions of the course content very well. Now i can analyze the data, can make a dashboard any many more things I learned here in this courses and thanks again to COURSERA for accepting my financial aid application. I was unable to pay. But now with support I've completed my course and learned a lot.

This is a great course for beginners, looking forward to understand the basics of Python . This course is subdivided into related topics and while going through this topic there will short exercises on what you are exactly taught in the short video lectures (5 mins max) and labs.

I personally felt the lack of related projects which could have led to a better understanding .

Please try to add related short projects that will complete the course.

El curso te permite adentrarte y construir los cimientos para entender Python desde la raiz y va escalando permitiéndote comprender plenamente cada uno de los temas expuestos, los laboratorios refuerzan los conocimientos al permitirte ver los códigos y dejarte experimentar cuando cambias alguna letra, variable o texto. El programa es muy completo permitiendote ir desde lo más básico hasta otros temas un poco mas avanzados pero de manera fluida.

Very nice coverage of relevant topics has been done in the course. The pace is also adjustable, which makes it convenient for first time learners as well as experienced students to learn the subject. The exercises and laboratories supplement the course lectures quite well making it a complete package. Thanks for providing the knowledge and skills. My good wishes to Mr. Michael and to any students taking up this course currently or in future.

What a way to introduce Python!! This course is very professional, it covers all the important topics with rich information, also it has so much useful contents with lots of reading, references, labs and quizzes. Note: This course is challenging and need more time than estimated to finalize, also you can _after finishing the course_ keep the laps and the reading files as a reference to redo them after you become more advanced in Python.