Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,533 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

Jul 16, 2020

Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should. A good starter course to wet your feet in DA!

Jul 28, 2020

AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.

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2951 - 2975 of 3,098 Reviews for Data Analysis with Python

By Gerhard E

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Feb 12, 2019

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

By Aditya D J

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Mar 8, 2022

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

By Nicholas P

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Sep 8, 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 26, 2019

Very nice course. It gives you what you need

By Brian S

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Mar 29, 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 28, 2020

The course didn't seem challenging to me.

By Sachin L

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Sep 26, 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 8, 2019

The course needs a final assignment!

By Rosaura R d H

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Jan 21, 2025

el contenido no se traduce muy bien

By Reza B

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Oct 19, 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 6, 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 21, 2021

could not access the labs.

By Yuanyuan J

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Jan 17, 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 17, 2019

Exams should be harder

By Riddhima S

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Jul 7, 2019

la lala la la laa aaa

By Daniel S

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Feb 8, 2019

Not easy to follow.

By Juan G G G

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Dec 3, 2025

Malas traducciones