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

4.5
stars
4,214 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

SK

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Best course so far, under the IBM Data Science professional certificate program. It is heavy on the practical side, which is a good thing as it gives the person a more hands-on experience.

GW

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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.

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751 - 775 of 796 Reviews for Python Project for Data Science

By Marta K

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Feb 19, 2022

One can learn interesting things but the final assignment is a disaster - it is very difficult to sign in to watson studio, one need 1 hour to find a way to do it. Apart from that later for peer review screen shots are needed which on small laptop are nto easy to do. Reviewing others work is also difficult as the photos are reallz small.

By Henri R

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Apr 14, 2023

If this wasn't part of the certificate, I wouldn't bother. The project was way too easy and boring. I'm certain you could actually get full marks just by copy-pasting. I would've liked a more challenging project. I understand that would require more from reviewing process, but this is just ridiculous.

By Montserrat C

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Apr 18, 2021

Final assignments involve matters that have not been seen during the course. Course should have more explanations, both video and text, and then more practice in order to settle what you have seen. It's not at all a beginners course; perhaps it could be for the matter but not for the explanations.

By ekta s

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Dec 8, 2022

repetitive lectures. multiple typos. non working lab. no explanation of the lab code shared. spent multiple hours to resolve the code errors to resolve code errors shared by Coursera for assignment (learn from other sources than Coursera to resolve code errors)

By Fernando M M E

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Sep 5, 2021

I think it isn't a good beginner course for Python. There are some things that are not explained and other that are not well explained. However, if you are following the data science learning path, I recommend you do it so you can pass to the next one.

By Evan K

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Dec 8, 2022

The exercises that are supposed to influence learning are spoon-fed. In order to truly learn the material, one needs to tinker with the material and explore possibilities. Unfortunately, this course does not facilitate that.

By Elizabeth S

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May 22, 2024

Project is rated by peers and the majority of your grade is based on their evaluation. Got points deducted because my peer did not know how to view the GitHub link. There isn't anyone monitoring accuracy of results.

By Stu B

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Jul 10, 2022

Probably the weakest course I have taken on the platform. Very frustrating.

Increasing from one to two stars because of helpful comments in the discussion boards that finally enabled me to complete the assignment.

By Anouk W

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Feb 9, 2023

Honestly, you end up just doing the same thing 3x with just different data. If you can copy and paste the example from the original example shown, you can finish this course

By Armeen A

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Mar 2, 2021

A lot of issues with this course. New information wasn't explained in detail and I was left with a lot of questions. Last assignment had a lot of issues.

By Henry C P

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Jan 28, 2023

Really poorly explained and laid out. Expected more from IBM and for a programme that you need to pay for separately.

By Marleena R

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May 14, 2023

I find it difficult to learn when I can not get feedback on exercises I fail in or can not complete despite trying.

By Raquel B

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Nov 3, 2022

There wasn't enough explanation. Even after doing the optional work it felt like i was thrown in the dep end.

By Welamaza A M

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Jul 13, 2022

Kept having issues with Kernal in IBM and geting locked out off some of the servers I needed ot access.

By Alexey E

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Mar 17, 2022

Spoonfeeding results. It's not a project, you just have to answer 6 questions...

By Heer V

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Sep 9, 2022

Most of the Hands on Labs didnt work, lot of coding wasnt taught well

By Juan D P M

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Mar 17, 2022

Should be a lab or a section in the previuos course.

By Emily M

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Oct 25, 2022

The Skills Network Lab has out of date software

By Jonas

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Aug 29, 2023

Final assignment is very buggy! See the forum.

By BOGATHI H K R

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Apr 18, 2023

THIS COURSE IS NOT SUITABLE FOR ME.

By Miralireza N B

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Dec 1, 2021

Not a fan of Using Watson Studio.

By Eric T

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May 25, 2023

code does not work in real life.

By Mohamed G E

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Aug 27, 2021

not easy to web scrapping

By Alberto G

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Aug 11, 2023

not very well explained