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

4.5

stars

4,346 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 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.

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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801 - 812 of 812 Reviews for Python Project for Data Science

By Seth C

•

Jan 16, 2024

Poorly taught, poorly managed, poorly thought out: Poor

By Jingguo H

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Mar 9, 2021

not enough information for complement the assignment

By Jenifer K

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Oct 27, 2023

No support or place to post coding questions.

By Keith C

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Apr 22, 2023

Jupyter was full of bugs

By Vijay S

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Dec 5, 2021

I feel this is too easy.

By Guilherme B P

•

Apr 11, 2023

Very poorly structured.

By James S

•

Jul 23, 2024

vague to say the least

By Lin J

•

Nov 14, 2023

way to much problems

By RABİA K

•

Oct 19, 2023

#zionistterrorism

By Mohammad A

•

Jan 18, 2023

that not good

By Naga s T

•

Feb 27, 2023

average

By Алишер З

•

Oct 22, 2024

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