Chevron Left
Back to Python Project for Data Science

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

Invalid date

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

Invalid date

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.

Filter by:

701 - 725 of 796 Reviews for Python Project for Data Science

By Kshanti G

•

Jul 11, 2022

This course was more copy and pasting code and didn't really allow us apply any learned skills. Calling the course a "project" is a stretch.

By Brian M

•

Nov 13, 2022

There were typos and errors in many of the lessons. On the 'build a dashboard' it is set to import an older version that is incompatible.

By Katy

•

Jun 15, 2021

I wouldn't call this course a "Python project"... it's more of a lab with exercises about the previous course ("Python for Data Science")

By Ali V

•

Sep 8, 2023

not too much easy but not hard... You need to find out the exact level of the content if it is an advanced concept or a simple one.

By Mick H

•

Jan 9, 2023

This course has a some bugs in it. I was clean up code a lot during this course. Overall it is a good course. I like the the labs.

By Hela M K

•

Dec 29, 2023

This course is not as good as the ones : the videos are not very explanatory... It took me a long time to figure out some stuff

By Ege D

•

Dec 28, 2023

Some of the information provided to help correct peers' final assignments are outdated. Clunky visual support in my opinion

By Chakib B

•

Jun 30, 2022

very interesting course but lack of details. May be better to add more explanations on some parts of the course

By Phetole R

•

Jul 24, 2023

The course was great, however I do not think that the material was enough to prepare me for the final project.

By Jon G

•

Apr 19, 2021

I thought one of the questions required a skill that was not covered in the labs. Rest was pretty good.

By Nelda A

•

Mar 13, 2024

Peer grade is once again not correct and must attempt again and grade other peers to get a new grade.

By Priyabrata M

•

Oct 29, 2022

need more informative.. especially like some video clips.. which will be easy to learn

By David C

•

Mar 9, 2022

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

By Stéphan D

•

Feb 23, 2022

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

By Konrad L

•

Nov 4, 2022

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

By Xinrang S

•

Aug 8, 2021

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

By Sara J H

•

Nov 9, 2022

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

By Rainer A

•

Jul 3, 2024

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

By Lucian P

•

Dec 13, 2021

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

By Angela W

•

Jun 7, 2022

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

By Anwar R

•

Jun 15, 2023

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

By Tom F

•

Feb 23, 2023

Very good introduction to the methodology, difficulties with Watson

By Rafael M S

•

Nov 18, 2022

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

By Krishanu P

•

Jun 1, 2021

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

By Swathy K P

•

Nov 26, 2021

Labs and Assignments are extremely confusing but very informative