课程概述
热门审阅
EH
Jun 11, 2021
From this level, I feel it started getting difficult and a few challenges. However, I have learned something from this course, good to practice and see how much fundamental knowledge that I learned.
GW
Dec 30, 2022
Material Covered was very good and meaningful in developing knowledge and skills. Unfortunately a significant amount of time was required accessing the tools to complete the work.
601 - Python Project for Data Science 的 625 个评论（共 924 个）
创建者 Sharofiddinov H
•May 10, 2024
good
创建者 Misael V M
•May 3, 2024
good
创建者 reagan m
•Feb 24, 2024
good
创建者 T S I G U C C
•Dec 8, 2023
good
创建者 Appasami G
•Oct 15, 2023
Good
创建者 Nguyen V T F
•Jul 23, 2023
good
创建者 Đào T M H
•Jul 2, 2023
Very
创建者 Juan S R G
•Jun 12, 2023
Nice
创建者 Achakpekri j J
•Apr 30, 2023
GOOD
创建者 G J
•Mar 31, 2023
good
创建者 Santosh H
•Apr 25, 2022
Good
创建者 Palle G (
•Apr 24, 2022
GOOD
创建者 Shreehari M
•Sep 9, 2021
good
创建者 PAILA P R
•May 16, 2021
cool
创建者 Doston D
•May 29, 2024
YES
创建者 Mekbib S
•Aug 14, 2024
gg
创建者 jiayun y
•Sep 13, 2023
hi
创建者 Dibyansu k D
•May 7, 2022
op
创建者 Zohair S
•Dec 1, 2024
.
创建者 SAI S (
•May 5, 2023
.
创建者 Deleted A
•Jan 6, 2022
创建者 Vu C T
•Sep 1, 2021
创建者 Kostiantyn V
•Sep 22, 2023
Mostly negative reviews are because people didn't complete previous 4 courses. This project is a satellite for the previous course, and sure it is helpful, as teaches you skills, which you can actually share, let's say on Linkedin. I'll give 4 stars, because in general the course is well structured(as well as specialisation), packs you with all the necessary skills to strat Data Science journey... BUT the lab is in Jupyter Notebook, which is fine, but certain coding moments are whether outdated or pre-coded. That's the problem, I think. Isn't it better to make labs, which have materials you can recreate yourself in Jupyter Notebook from scratch? One of the solutions I see is to update the lab more frequently, and what's more important, review it by beginners, so that they can ask questions and spot the moments, which may be easy or too obvious for creators of the lab.
创建者 Louise B
•Sep 22, 2022
This part needs to be fixed: I am trying to paste this link into the Notebook URL box but the provided URL might not point to a notebook in a valid format. Should I go ahead and Create the notebook? https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/labs/Module%204/PY0101EN-4-3-LoadData.ipynb?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-wwwcourseraorg-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2022-01-01
创建者 Joy L
•Dec 20, 2023
The course is generally easy to understand. However, the course title suggests a comprehensive coverage of various aspects of Python and Data Science, rather than focusing solely on data scraping. Additionally, there is ambiguity in the requirements for the final project. While the provided websites include both annual and quarterly revenues for public companies, the assignment only mentions 'revenue' without specifying the type. This lack of clarification resulted in the need for me to redo my project, causing unnecessary time wastage.