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学生对 IBM 提供的 Python for Data Science, AI & Development 的评价和反馈

4.6
43,129 个评分

课程概述

Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert. Python is one of the most popular programming languages, and the demand for individuals with Python skills continues to grow. This course takes you from zero to programming in Python in a matter of hours—no prior programming experience is necessary! You’ll begin with Python basics, including data types, expressions, variables, and string operations. You will explore essential data structures such as lists, tuples, dictionaries, and sets, learning how to create, access, and manipulate them. Next, you will delve into logic concepts like conditions and branching, learning how to use loops and functions, along with important programming principles like exception handling and object-oriented programming. As you progress, you will gain practical experience reading from and writing to files and working with common file formats. You’ll also use powerful Python libraries like NumPy and Pandas for data manipulation and analysis. The course also covers APIs and web scraping, teaching you how to interact with REST APIs using libraries like requests and extract data from websites using BeautifulSoup. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for individuals interested in pursuing careers in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps and a variety of other technology-related roles....

热门审阅

HK

Oct 19, 2022

T​his was an extremely informative course and I believe is perfect way to strt off your coding journey. The teaching style was understandable.detail oriented and very practical. Highly Recommended.

PJ

Nov 30, 2020

It is a good course and teaches with the basic of Python so that anyone can understand it very well. Videos are good and can easily be understandable to anyone who is new to Python and Data Science.

筛选依据:

5476 - Python for Data Science, AI & Development 的 5500 个评论(共 7,837 个)

创建者 Yeh Y J

Jan 11, 2020

Great Content. Really pushed someone who have no knowledge of Python to think like a Data Science but some technical elements need more explanation. Especially the final Assignment.

创建者 Laro D

Aug 3, 2025

The AI generated videos run too fast to really take in information. The tasks sometimes felt like it leaped a bit. THe course is great, I'm just adding for the sake of improvement.

创建者 Mateo M S

Jun 27, 2023

Buena introducción sobre Python y todos sus fundamentos. Creo que la última parte del curso puede resultar un poco difícil para aquellos que recién estén aprendiendo este lenguaje.

创建者 Catherine B

Nov 14, 2022

Labs were very helpful. The week 3 labs took a sudden big jump from simple to complex. Some interim exercises, such as practicing some simpler functions, would improve the process.

创建者 Uriel G

Sep 25, 2019

Im aware that this is an introductory course, but sometimes it felt like I only needed to run the cell on the labs to get the answer, which is fine but I would liked more exercises

创建者 Severine M

Feb 11, 2025

More coding exercises would be better to memorize and to really learn the language; it would be better to have more complicated problems as well, like real-life problems to solve.

创建者 Jay M

Jul 23, 2024

Just a little suggestion that if i am paying for professional course i would expect a real tutor instead of voice, it is just my personal opinion. Course helped me a lot thankyou.

创建者 kevin o

Jun 16, 2024

The course has been amazing. It equips you with skills and it is well explained. The instructors took their time to explain the concept. It needs commitment to complete the course

创建者 YASHODHAN M

Feb 13, 2023

It is overall good course. But some concepts were explained in a hurry(webscraping, file handling, etc.), so students be ready to do a lot of self study. Nonetheless, good course.

创建者 Joseph A V

Sep 7, 2020

Good course and well scaffolded. The end project is fine but not really project-based. Students shold be told to go to forum to beg for peer reviewers in order to finish course.

创建者 Sagar S

Mar 22, 2020

The last US analyze was not that great. students were not given much information before proceeding to the exam, which resulted in some problems. But the entire module was perfect.

创建者 Collin C

Dec 4, 2019

Lots of valuable information, but there are mistakes in the videos, the IBM instructions are outdated, and the quiz includes several questions that we never learned how to answer.

创建者 TheUnho

Sep 24, 2023

This course is good in that the course is interactive so we can try and error, but there are too many typos and sometimes making it troublesome. These points need to be improved.

创建者 Adarsh R

Dec 22, 2019

this course has been really quite informative. It gave an immense opportunity for learning. However, I would appreciate if we have more hands-on problems under graded assignment.

创建者 Mohamed K

Oct 7, 2019

This course was so helpful and useful but one single issue that the last assignment wasn't well_explained due to not updating the lab to cop up with the last update of IBM Watson

创建者 Pablo B

Jan 8, 2024

Me mareò mucho el tema de traducciòn al español y cuando estaba traducido no estaba 100% ok por lo que varias pruebas por entender una cosa que no era me jugò en contra al final

创建者 Saurabh K V

Jul 20, 2019

1 star down because I think there should be more things like statistics in python, oop in python, etc. Otherwise, the course is just awesome. I'm very happy to learn through it.

创建者 Ben P

Mar 27, 2019

The final assignment was a bit out of touch with the learned material. It might have been better if we submitted some work done with elements similar to those that were covered.

创建者 Saran J

Dec 8, 2018

The course contents are well organized. Topics are essential for Python starters. Anyway, it seems there are few incorrect detail and technical problems for the course contents.

创建者 Marc M

Feb 4, 2022

Hay un salto importante de complejidad despues de ver bibliotecas como Numpy.

Hay que hacer mas enfasis en el web scraping de forma práctica y trabajar mas con lo que se enseña.

创建者 Ankitha D P

Apr 23, 2020

object and classes could have been better. But overall the course is good. If you have done a python course already and wanna get more details and practice try this course out.

创建者 Zac M

Oct 11, 2019

This was fun. The notebooks could be better organized and maybe not start with code. The notebooks with quizzes were nice, but the quizzes stopped when we got to the fun stuff.

创建者 Sajid H

Jun 9, 2022

lab environment was a little bit doghy sometimes that's i have given 4 star rating to this course otherwise it deserved to be a 5 star. please improve lab environment. thanks

创建者 Lennea K

May 9, 2020

I learned much through this course. Some of the lab instructions were out of date or light on instruction that resulted in a little extra time to figure things out but I did.

创建者 Binay N

Feb 7, 2020

This is very good course if you want to start learning data analysis but not sure where to start from. This course provides introductory concept required for the data science.