Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,661 ratings

About the Course

Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, you’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement....

Top reviews

Mar 10, 2020

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

May 14, 2021

Good course, sometimes moves a bit fast in the final modules and the labs are quite tough but great course and would recommend to broaden your knowledge of coding, data analysis and visualisation

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2976 - 3000 of 3,124 Reviews for Data Analysis with Python

By Gerhard E

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Feb 13, 2019

Copy of videos, not a fan of tools used in labs

By Aditya D J

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Mar 9, 2022

Nice, but I can't try IBM Cloud Trial for free

By Nicholas P

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Sep 9, 2022

Final Project grading system was messed up.

By Yasmin A

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Feb 3, 2020

Un cours riche et adéquat pour les débutants

By Ambe E

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Nov 27, 2019

Very nice course. It gives you what you need

By Brian S

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Mar 30, 2020

Notebooks are sloppy, with typos and errors

By AVNISH R

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Apr 6, 2022

I am not able to download my certificate.

By Fariha M

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Sep 29, 2020

The course didn't seem challenging to me.

By Sachin L

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Sep 27, 2019

More examples and detailed explanation

By Nilanjana

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Jul 12, 2019

More examples and code examples needed

By Hamed A

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Apr 9, 2019

The course needs a final assignment!

By Rosaura R d H

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Jan 22, 2025

el contenido no se traduce muy bien

By Reza B

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Oct 20, 2024

Not enough depth and using only csv

By Boris S

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Oct 5, 2024

The final exam has broken questions

By piyush d

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Dec 7, 2019

exercises could have been better.

By Jyoti M

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Mar 26, 2020

I felt it was too fast to grasp.

By Baptiste M

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Nov 2, 2019

Final assignment is quite messy

By Murat A

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Apr 22, 2021

could not access the labs.

By Yuanyuan J

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Jan 18, 2019

Not clear on the last part

By Ahmad H

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Jun 8, 2019

This course is very tough

By conan s

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Dec 20, 2019

Lots of technical issues

By David V R

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Jun 18, 2019

Exams should be harder

By Riddhima S

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Jul 8, 2019

la lala la la laa aaa

By Daniel S

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Feb 9, 2019

Not easy to follow.

By Juan G G G

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Dec 4, 2025

Malas traducciones