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

4.5
stars
4,331 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

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.

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

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726 - 750 of 810 Reviews for Python Project for Data Science

By David C

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Mar 9, 2022

good overall but the dependency on IBM cloud is time-consuming and of little value-add.

By Stéphan D

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Feb 23, 2022

Some technical problems on IBM plateforms and some part of the course are not updated.

By Konrad L

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Nov 4, 2022

Some features in the final project werent working properly (make_graph). Please fix it

By Xinrang S

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Aug 8, 2021

It's more suitable for learners who have background in Python but not new learners.

By Sara J H

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Nov 9, 2022

Challenging for someone at the beginner level. Had to google a lot to succeed.

By Rainer A

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Jul 3, 2024

so far so good; unfortunately some of the content is sometimes misleading;

By Lucian P

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Dec 13, 2021

A big problem with the mandatory work environment on IBM Cloud platform.

By Angela W

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Jun 7, 2022

For such a short course there was alot of information to get through.

By Anwar R

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Jun 15, 2023

You should add more projects and easy medium and complex task to do

By Tom F

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Feb 23, 2023

Very good introduction to the methodology, difficulties with Watson

By Rafael M S

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Nov 18, 2022

The Final Assignment has several errors when you execute the code.

By Krishanu P

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Jun 1, 2021

I learnt about web scrapping but this course could be much better.

By Swathy K P

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Nov 26, 2021

Labs and Assignments are extremely confusing but very informative

By Emem A

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Feb 21, 2023

it was a very tough course. i have to do some more learning

By Nguyen A

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Aug 23, 2022

final project has bugs and errors when running the code

By Dhanesh T

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Jun 18, 2022

A good beginner hands-on experience for Data Science.

By Marcia M

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Feb 22, 2022

Students had a lot of problems with IBM Watson Studio

By Brian F

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Jul 17, 2023

redundant examples.. could broaden and learn more.

By Marco B

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May 8, 2022

Jupyter on Watson Studio is not working properly

By Carmen F

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Aug 1, 2022

I think we need more hands on lab practices.

By Elena E

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Feb 8, 2022

Informational, but too easy.

By Jason C

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Sep 12, 2021

Good practice project

By Daniele C N

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May 12, 2023

not very explanatory

By Rafael P S

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Nov 4, 2021

Nice but very basic.

By Tran N

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Feb 4, 2024

Too hard to follow