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

4.5
stars
4,307 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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651 - 675 of 807 Reviews for Python Project for Data Science

By Le T H

•

Jun 16, 2023

It's getting harder :)

By Eber S

•

Oct 16, 2022

It is really useful!

By Gospel O S

•

Jun 12, 2022

Good refreshal course

By ZOUZOU K F R

•

Mar 2, 2021

tres bonne experience

By khalid e a

•

Oct 22, 2024

very good project

By U_ A

•

Jan 5, 2023

Excellent course

By Jana A

•

Mar 28, 2022

Smooth and fun.

By Risenga J T N

•

Jul 5, 2021

Well worth it..

By SHIVAM R

•

Dec 14, 2022

great learning

By Mirjan A S

•

Aug 18, 2022

Very good...

By Katherine M K

•

Sep 15, 2021

Difficult

By Avaneesh K

•

Sep 14, 2024

its good

By Bayu T P

•

Aug 26, 2023

the best

By Izzy O

•

Mar 10, 2023

Worth it

By Federico A

•

Sep 12, 2022

not bad

By Manpreet K

•

Sep 18, 2024

awesome

By Roshan D B

•

Oct 16, 2023

Amazing

By ELMOUTAQUI H

•

Jul 2, 2021

Thankss

By Gaurav G

•

Nov 10, 2023

Thanks

By Germán G

•

Nov 20, 2021

good

By Yến m

•

May 27, 2021

Great

By Mose O

•

Nov 9, 2022

Good

By Omer Z C

•

Jan 4, 2022

By 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.

By Aaron S I

•

Jan 3, 2022

After doing several of the other courses in the IBM Data Science Specialization, this course was poorly put together.

The videos were of low quality, could barely read what was on the screen. If it was not for the written script of what was said, then I would not have followed along.

The ideas presented seemed to be constantly jumping around. Mentioning on idea, bounce to another, then bounce back.

The labs were put together well, and were essentially a hands on version of the videos. But organized.

It appears that a different person put together the labs compared to who was in charge of the visual learning.

As for the project: it was a decently easy assignment. I have jumped around in my courses, so I may have had other exposure and experience than others normally would at this point in the series.

A decent course overall. Great introduction to web scraping.