Chevron Left
Back to Python Project for Data Science

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

4.5
stars
3,976 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

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

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.

Filter by:

576 - 600 of 746 Reviews for Python Project for Data Science

By Arjun A

•

Jul 2, 2023

Really good course for those who want to start career in Data Science with Python.

By Javier G R

•

Jan 21, 2023

I would like to learn pandas.concat() instead of .append that will be deprecated.

By Milko P A M

•

Apr 24, 2022

Es importante el analisis y la funcion de los datos y las graficas estriucturadas

By Daniel F

•

Jun 14, 2022

The course is very good but there were a few hiccups on the steps to follow.

By Ramazan D

•

Sep 28, 2021

it was a great introduction to web data extraction, manipulation and display

By Rafael D C

•

Aug 1, 2023

Es perfecto para entender conceptos basicos de manejo de datos con python

By Divine J C

•

Aug 15, 2022

I appreciated your course and gained a lot from it. Many thanks!

By Manjiri S

•

Mar 29, 2021

Well designed course to understand the basics of Web scraping.

By kunal k s

•

Mar 28, 2021

pls....... provide some more video on web scraping and html

By Mahendra - E

•

Jul 17, 2022

Course could have been muchmore informative and elobarate

By Arturo A C

•

Jul 4, 2022

a little bit hard to accomplish, i had 0 coding background

By Marcio F

•

Mar 24, 2022

I only wish that the problem set were a bit more harder

By Chau T

•

Apr 24, 2022

The submission of the assignment was not convenient.

By Peter V

•

Mar 3, 2021

a bit too few instructions. However, was a good one.

By Rohit K

•

May 13, 2023

I am really thrilled after completing this course.

By Luiz D R

•

Jul 26, 2022

Very nice practical exercise at IBM Watson Studio!

By James V P

•

Jun 28, 2022

Great course the final assignment was a bit tough.

By Francisco C

•

Mar 17, 2021

Fine course. I learn a lot of interesting topics.

By Hassan D

•

Jan 9, 2023

Great job. but needs more examples and projects.

By Nezar A

•

Jul 8, 2022

Very good course for beginners in Web scraping.

By Muhammad B

•

Sep 11, 2022

I liked the course however it was too short

By SERGIO R M

•

Jul 11, 2021

Interesting to learn about Python libraries

By Rezwana M

•

Mar 3, 2024

I was expecting a more detailed project.

By Mehmet U M

•

Nov 9, 2022

There was some mistakes in the content

By Ali H

•

Aug 26, 2023

Practical work really helped a lot