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学生对 IBM 提供的 Python Project for Data Science 的评价和反馈

4.5
4,807 个评分

课程概述

This mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired scenario to identify patterns and trends. You will perform specific data science and data analytics tasks such as extracting data, web scraping, visualizing data and creating a dashboard. This project will showcase your proficiency with Python and using libraries such as Pandas and Beautiful Soup within a Jupyter Notebook. Upon completion you will have an impressive project to add to your job portfolio. PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge....

热门审阅

LY

Feb 20, 2023

Lab works became more challenging and difficult throughout end of the course. Some tasks I've spent more than week just to find out the mistake. It is quite challenging yet fulfilling at the same time

SH

Jun 7, 2023

This course is a good checkpoint to evaluate our understanding of the previous courses. The assignment had some challenges, but after revising the materials, it was successfully completed. Thank you.

筛选依据:

726 - Python Project for Data Science 的 750 个评论(共 911 个)

创建者 ZOUZOU K F R

Mar 2, 2021

tres bonne experience

创建者 정승현

May 6, 2025

good for beginner

创建者 khalid e a

Oct 22, 2024

very good project

创建者 Biljrim M M

Nov 25, 2024

nice learn a lot

创建者 U_ A

Jan 5, 2023

Excellent course

创建者 Jana A

Mar 28, 2022

Smooth and fun.

创建者 Risenga J T N

Jul 5, 2021

Well worth it..

创建者 SHIVAM R

Dec 14, 2022

great learning

创建者 Mirjan A S

Aug 18, 2022

Very good...

创建者 Katherine M K

Sep 14, 2021

Difficult

创建者 Avaneesh K

Sep 14, 2024

its good

创建者 Bayu T P

Aug 26, 2023

the best

创建者 Izzy O

Mar 9, 2023

Worth it

创建者 Federico A

Sep 12, 2022

not bad

创建者 Manpreet K

Sep 17, 2024

awesome

创建者 Roshan D B

Oct 16, 2023

Amazing

创建者 ELMOUTAQUI H

Jul 2, 2021

Thankss

创建者 Sanjib B

Apr 29, 2025

Great!

创建者 Gaurav G

Nov 10, 2023

Thanks

创建者 Germán G

Nov 20, 2021

good

创建者 Yến m

May 27, 2021

Great

创建者 Dinh D L

Jun 27, 2025

good

创建者 Mose O

Nov 9, 2022

Good

创建者 Omer Z C

Jan 4, 2022

创建者 Justin E

Dec 8, 2022

This course could've been better. I'm not sure whether to give this course a 2 stars or 3 stars.

I appreciate that there's an extra week to complete this course as there's only one week in this course, because if I haven't, I probably wouldn't submit the work in time.

Just like the previous course, I think we need a more in-depth understanding how to use Beautiful Soup because this is pretty hard to understand as this is not very well explained in my opinion, it sort of felt rushed. Also worth noting that append function would be removed in the future version of python and use pandas concat method instead, I couldn't get concat to properly work, and no video or labs covered the pandas concat function.

Another issue I had with this course is that if you have to post a forum to answer your question/solving a problem you have, you'll have to wait for hours if not a day for a response, maybe it's because of time zones, I'm not entirely sure. No disrespect to the staffs/moderators or throw anyone under the bus, I do understand that they're busy in other stuff other than monitor the forums and address questions, concerns, or problems. but I do believe quicker response for learners would benefit learner partaking this course or any courses down the line.

Overall, it's not a terrible course, nor a great course. It is in between.