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

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

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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251 - 275 of 807 Reviews for Python Project for Data Science

By sanket w

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Aug 29, 2021

Great for beginners to learn request, Beautiful soup and yfinance library

By Krista S

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Mar 12, 2021

Nice small course to complete your first Python Project for Data Science.

By Nearl T V

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Jun 5, 2022

this course is very imprtant and I have a learnt a lot from this course.

By LO W

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Jun 27, 2021

An interesting case study with real world data for real world webpages.

By Lina D

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Apr 22, 2021

Very nice platform to upgrade our skills. Thank you Coursera and IBM !!!

By Manuel A N R

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Dec 20, 2021

Good Project for beginers about data scraping and yahoo finance library

By Diego A P

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Nov 23, 2021

Very practical code to extract information through a double-option way

By Mark O

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Aug 29, 2024

lots of good info and material in this course.....a "must do" course!!

By Chinedu C

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Oct 3, 2022

It was a form experience getting to practice what I've learnt so far

By P M P

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Dec 11, 2021

Very Practical course with real time experience. Highly recommended.

By Mayurkumar S

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Apr 12, 2024

The course is super user friendly. I recommend learner to enroll it.

By Artem A

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Jun 19, 2023

Great course to get an overview of python libraries for data anylsis

By Mohammad r A

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Aug 27, 2023

I liked this course and the reason is, it was completely practical.

By Ty M

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Aug 3, 2021

Very good and interesting example projects! Thanks for the ideas!

By Bernardo A

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Apr 21, 2021

Very important course to learn how to gather data from web sources,

By Ankit C

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Sep 23, 2021

Very benificial for finance field and lot to do with web scraping

By Naama T

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Jul 16, 2021

first time, finally, I get the feeling of achieving a mile stone.

By Mahasiva V S

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Mar 3, 2021

All the learned python skills are put to practice in this project

By Archer

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Aug 27, 2021

Thanks for course. I liked the lab-to-quiz format in particular.

By Diego

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Jul 23, 2024

A very good way to enhance skills in Data Science using Python.

By Matthew S

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Feb 14, 2022

Great course! Easy to follow and learned how to scrub websites.

By Jerônimo F d R F

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Jan 22, 2022

Curso prático, objetivo e com tarefas intuitivas pra acompanhar

By Amara C E

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Jun 16, 2021

Challenged me, but kept building me up step, by step. Grateful.

By Carl-Michael E

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Mar 6, 2021

This course is excellent!

It is thorough and challenging enough.

By Farnaz N

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May 12, 2021

Good follow-up to the general "Python for Data Science and AI"