学生对 IBM 提供的 Python for Data Science, AI & Development 的评价和反馈
课程概述
热门审阅
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.
DR
Sep 27, 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.
676 - Python for Data Science, AI & Development 的 700 个评论(共 7,822 个)
创建者 Daniel F
•Feb 17, 2022
Very dense course. Probably not the best first contact with Python, and it isn't a comprehensive course either. It's purpose is to enable the student to get started with Data Science, and in that it excels.
创建者 Sabriena T
•Dec 14, 2020
Great course! It is more difficult but felt like this was the best course in the specialization yet! This course was jammed with so much information that it made the accomplishment feel more for satisfying!
创建者 Ha N
•May 1, 2019
This course successfully gave me a basic foundation of Python for Data Science. I had a chance to learn about pandas and numpy, which are really essential for me as an Data Analyst Intern.
Thank you so much!
创建者 Pan Z
•Jul 15, 2018
It's really helpful for python beginners! It's easy to make you insist on it.But at the same time, the quizes can be a little too easy or too few sometime, but other than that everything's great! Thank you!
创建者 Cesar O P R
•May 7, 2020
I like it! The way it introduces the concepts and syntax. This is not for people that haven't programmed, but for people with skills in programming this should be enough to start in Python for Data Science
创建者 Alexis
•Jun 22, 2023
Very usefull and ocmplete. Have a great intro to python syntaxis and library references, when use this refrences and is more usefull when you have a jupyter lite to use on practice examples and exercises.
创建者 James P
•May 9, 2020
Very well designed course.
Teaching is thorough and does not require any previous knowledge of coding.
Resources are up to date and access to the right cloud platforms to perform the tasks.
Well done to IBM.
创建者 Sai S D
•Aug 4, 2019
This Course provides a good supportive platform to enter into the field of Data Science as the learning begins from the scratch and give you a clear picture of your progress towards gaining the knowledge.
创建者 Christopher I F
•Jan 17, 2021
I approached the final assignment with some trepidation but got through okay. The pandas and the NumPy programming is very useful and I am getting more and more familiar with Watson Studio and IBM cloud
创建者 MARIDULA S
•Nov 16, 2021
It was wonderful learning so much in an introduction and as a beginner if you are looking to start in Python,i will say go for this course.Thanks to instructors for an amazing course materials and labs.
创建者 samet
•Dec 21, 2019
Its a great start with python, classes are easy to understand and quizzes are relevant to the topic that are going trough out the videos.
Thank you everyone who spend their time to teach us. Well done.
创建者 J C V
•Sep 12, 2019
Very good narration of topics. Although one can't become an ace in Python, it gives you all the basic fundamentals. Few topics were very well outlined in order to make the concept understood by anyone.
创建者 France
•Aug 23, 2023
Python Course by IBM is an eye opener, with so many hands-on labs. I have completed this course feeling very confident with Python. I really enjoyed every bit of it. Much thanks to IBM and Coursera!
创建者 Amjad M K
•Nov 14, 2021
One of the most enjoyable course in the IBM Applied AI Professional Certificate. The lab exercises are fun to go through, giving you practical experience from which you can broaden your knowledge.
创建者 pooja
•Oct 1, 2020
I liked the course as it gives a quick introduction to the concepts of python and its libraries Pandas and Numpy. I really enjoyed doing lab work using IBM Watson Studio. It was a great experience.
创建者 Tejas J
•Aug 8, 2024
Best suitable crash course on Python for Data Science, AI & Development. This course provides a fundamental understanding of the subject. I recommended that faculty and students go for the course.
创建者 Ashiqur R
•Dec 11, 2020
As a beginner, I have gained confidence in python programming with the help of this course. It has enabled me to use IBM watson for solving problems as well. I am happy to participate this course.
创建者 Mominul I A
•Oct 26, 2022
Its an amazing course for someone of interest in Python . it visualizes the key methods of pythin very clearly definately recommend this course to someone who is interested in Mechine Learning.
创建者 Divakar R
•Jun 22, 2022
It is such a nice and fantabulous course. I have learned a lot from this course and it will be very useful and needful course for enhancing knowledge and improving skills in achieving the goals.
创建者 VEMULA A K
•Mar 25, 2022
good. But i am not able to follow web scraping and plotting. It is not mentioned the course. But on of a sudden we are using plots. Need to add additional content to Plotting vvariable plots etc.
创建者 Nabila D
•Dec 29, 2021
I would like to thank everyone who contributed to the preparation of this course. I really liked the learning method. I feel more motivated everyday to complete the course and pass all the exams.
创建者 Jose M B P
•Dec 20, 2021
Great but complex course. Even thought I am new to this field, I loved it. There are many things I did not fully understood, but I gave me a good ground to continue learning. I loved it. Thanks
创建者 ABHISHEK S
•Jun 20, 2020
Excellent course I loved it the way of explanation of every topic wow coursera I love you I love.... You
I wish you will provide more free courses through financial aid due to my poor background
创建者 Mauro N
•Sep 9, 2023
Excelent course for introduction to the language. Brief introduction to NumPy and Pandas. Good quizzes and tests, even though they could be a little bit more challenging. Overall, great course.
创建者 Rafia H
•Nov 14, 2022
I enjoyed learning python. This has been a very interesting way to note things and easy to remember with each quiz. I understood it easily because of clear voice and interesting representation.