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

4.5

stars

4,878 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

Apr 5, 2022

Instead of working on IBM Cloud Platform (it is free for a month, and after this period i had many troubles to login or to re-activate the account) i would like to work on SN Platform.

Aug 9, 2023

this was really a nice course and i feel like i am on the right path to become a data scientist. this course was easily explained with hands on practice and i understood it very easily

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601 - 625 of 929 Reviews for Python Project for Data Science

By Mardiev A U

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May 26, 2024

good

By Ilhom G

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May 26, 2024

GOOD

By Sharofiddinov H

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May 10, 2024

good

By Misael V M

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May 3, 2024

good

By reagan m

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Feb 24, 2024

good

By T S I G U C C

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Dec 8, 2023

good

By Appasami G

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Oct 15, 2023

Good

By Nguyen V T F

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Jul 23, 2023

good

By Đào T M H

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Jul 2, 2023

Very

By Juan S R G

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Jun 12, 2023

Nice

By Achakpekri j J

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Apr 30, 2023

GOOD

By G J

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Mar 31, 2023

good

By Santosh H

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Apr 26, 2022

Good

By Palle G (

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Apr 24, 2022

GOOD

By Shreehari M

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Sep 9, 2021

good

By PAILA P R

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May 16, 2021

cool

By Doston D

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May 29, 2024

YES

By Mekbib S

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Aug 14, 2024

By jiayun y

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Sep 13, 2023

By Dibyansu k D

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May 7, 2022

By Zohair S

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Dec 1, 2024

By SAI S (

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May 5, 2023

By Deleted A

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Jan 6, 2022

By Vu C T

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Sep 1, 2021

By Kostiantyn V

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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.