Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM
About the Course
Top reviews
The syllabus of the course takes you in a roller-coaster ride.\n\nFrom basic level to advance level and you won't feel any trouble nor hesitate a bit.\n\nIt's easy, it's vast, and it's really usefull.
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.
201 - 225 of 3,359 Reviews for Python for Data Science, AI & Development
By Denis T
•This was Python for beginners, the exercises couldn't have been missed even by a child
By Charles O
•Not very good, course materials do not match final project deliverables.
By Piyush G
•lacks rigor and the assignments were way tooo easy....!! thumbs down!!
By Lee R
•I just paid money to let IBM market their cloud services to me.
By Raaj M
•the last test to pass course nothing is taught about it
By Ali S
•Really poor course, and not well explained at all.
By Harshit D
•Vague assignments- almost everyone gets stuck.
By Kavish J
•yeah , slightly the worst teaching skills
By Ines H R
•The last assignment is very bad explain
By rje
•Final Assignment is very confusing
By Anthony N G
•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.
By Courtney B
•I was a complete newbie to Python, and coding in general, and this course made it easy for even a beginner like me to understand. I would honestly love to take an extended version of this course. That said, I have recommendations for improvement:
1) the labs didn't really make you think terribly hard about how to solve the questions, and I would have loved more complex lab work, especially because of the next point...
2) The complexity of the final project basically skyrockets from the rest of the course work. I feel like an extra week or two of going over the additional knowledge necessary to really succeed in the final project without major struggle would help tremendously. Conceptually, it seemed like it should be REALLY easy... if only I had a little more applicable practice work under my belt before hand. (I finished it successfully, but it was a bigger struggle than it perhaps should have been. I think many other people are in the same boat.)
By Whale M J
•This action-pack course is exactly what I am looking for. It's down-to-earth and practical. Instructors explain with videos once, then you get walk through in the labs, like a step by step guide.
The videos are of bitesize length so it's easier to concentrate on the concepts., and followed by quizzes that ask only the essentials. i love the part that i can experiment with the code myself after researching the concepts further on the internet.
It may be pretty demanding for complete beginners because each concept is introduced very succinctly, so if you have no clue with python at all, i think you need to research extra a lot in order to understand the concept. There are also a few minor typos which may affect the understanding, just really minor ones like a becomes b while b becomes a, or some general english typos.
Perfect for those who want to get a taste immediately what data science looks like, like myself.
By Luis R
•Curso adequado tanto para completos iniciantes (primeira parte do curso) quanto para quem já conhece o básico e gostaria de conhecer e expandir seus conhecimentos nos módulos Pandas, Numpy e Matplotlib.
A parte teórica é apresentada com excelência em videos curtos de maneira bem direta e sintetizada, ideal para desenvolver um bom ritmo de aprendizado e de conclusão do curso.
A parte prática é montada de forma a possibilitar qur você aplique na hora exatamente o que acabou de aprender, acessando a plataforma após cada video por meio de links. Lá você vai encontrar exercicios simples e com explicações e passo a passo
O projeto final é simples, porém muito enriquecedor. Aplicando diretamente conhecimentos sobre os módulos aprendidos e códigos python na análise de um dataset disponibilizado e na geração de um dashboard de visualiação de dados.
By Paul A
•The courses on the Applied Data Science specialization will spoil Coursera for you. I tried the Applied Data Science specialization out of curiosity; and quite frankly, I was happily surprised by quality. I really enjoyed the narrator and the amount of work put into the slides. They are effective at getting the point across and the course content gives you exactly what you need to succeed on the tasks at the end; granted, you have to put in some work, but overall is quite manageable to an "advanced beginner" like me. I felt challenged but not overpowered by the content. I really can't say enough good things about the this specialization and this course.
By Daniyal A
•A highly recommended course for students/professionals who want to learn about Python Programming and its fundamentals. Your journey in this course starts by familiarizing yourself with Python Basics (Data Types, Expressions, Variables & Operations) in Module 1 and learning about Python Data Structures (Lists, Tuples, Sets & Dictionaries) in Module 2. Module 3 focuses on Programming Fundamentals (Conditions, Branching, Functions, Objects & Classes), whereas Module 4 gives you a hands-on experience of working with Data in Python. As you reach the end, Module 5 tests your knowledge and skills through a Final Project.
By Ewan B
•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.
By Wesley E B
•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.
By Rounak K
•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.
By Dr_G@ur
•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!
By Xiaowei Z
•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!
By Renee W
•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.
By Kumar S
•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.
By Rohit B
•This is an excellent introductory course to Python and key libraries. Just what I was looking for! I found the exercises to be fun and helpful in revising my learnings.
Compared to the first 4 courses in the IBM data sciene certification, there is definitely a lot more meat to the bone here. So be prepared for a steep learning curve if you decide to complete the course in a single stretch, even if you have a prior programming background.
By Robinson P P
•Excellent Course. The lab session helps to understand the concept in details. Jupyter Notebook knowledge will help in a practical session. Speech to Text example through IBM Watson indeed gives the basic understanding of cloud computing and API. Much more examples can be added. Introduction to data writing/saving through pandas' library and analysis, help to dive in the Data Science world.
thank you for such a wonderful course.
Coursera Footer
