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Learner Reviews & Feedback for Python Project for Data Science by IBM

4.5
stars
3,931 ratings

About the Course

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....

Top reviews

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

DM

Feb 27, 2022

Had a few issues with my IBM Cloud account and adding the Jupyter notebook but the help\response was great so was resolved quickly.

Great material that can defintely be applied to work experiences.

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451 - 475 of 740 Reviews for Python Project for Data Science

By Ghizlaine

Jan 31, 2024

voila

By Samy H

May 22, 2022

Great

By Abdul R

Sep 3, 2021

greet

By Agus T W

Jul 1, 2021

great

By Reagan M

Feb 24, 2024

good

By T S I G U C C

Dec 8, 2023

good

By Appasami G

Oct 15, 2023

Good

By Nguyen V T F

Jul 23, 2023

good

By Đào T M H

Jul 2, 2023

Very

By Juan S R G

Jun 12, 2023

Nice

By Achakpekri j

Apr 30, 2023

GOOD

By G J

Mar 31, 2023

good

By Santosh H

Apr 26, 2022

Good

By Palle G (

Apr 24, 2022

GOOD

By Shreehari M

Sep 9, 2021

good

By PAILA P R

May 16, 2021

cool

By jiayun y

Sep 13, 2023

hi

By Dibyansu k D

May 7, 2022

op

By SAI S (

May 5, 2023

.

By Deleted A

Jan 6, 2022

By Vu C T

Sep 1, 2021

By 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.

By 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

By 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.

By Isaiah K

Mar 5, 2021

There are parts of the final assignment that were frustrating because they required skills that were not thoroughly covered in the course material, so I ended up having to turn to other resources and look through documentation for pandas and beautifulsoup to find what I needed. This extra challenge made it more rewarding when I finally did figure out how to complete the tasks, though, and the process felt more analogous to how a data scientist would operate. Overall, I would recommend this class since it does provide helpful skills.