Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,669 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!

Dec 8, 2021

Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course. I appreciate the coordinators in making it possible. Thank you.

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2226 - 2250 of 3,127 Reviews for Data Analysis with Python

By VISHNU T B

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Jun 28, 2020

Good

By Soumyajit D

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Jun 11, 2020

good

By ARIJIT K

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Apr 28, 2020

good

By Prashant P

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Apr 9, 2020

good

By NAMBURU V

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Mar 11, 2020

good

By Nicolas M

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Jan 5, 2020

good

By KARIMULLA S S

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Dec 12, 2019

Good

By Tanmay S

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Dec 1, 2019

Best

By Thilini H

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Nov 17, 2019

good

By Mahendra S

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Nov 9, 2019

cool

By Manea S I

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Sep 10, 2019

nice

By Marouane E O

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Sep 5, 2019

good

By jacob j

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Aug 12, 2019

good

By Yuan Y

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Jul 15, 2019

good

By Miriam R

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Mar 27, 2019

good

By Talha P

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Mar 26, 2019

good

By Tejpraneeth

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Mar 25, 2019

good

By Deleted A

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Mar 10, 2019

good

By Mahesh H

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Mar 9, 2019

GOOD

By VISHNULAL M

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Mar 9, 2019

nice

By Subrahmanyam

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Mar 5, 2019

good

By Girish J

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Feb 3, 2019

good

By Jimut B P

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Sep 22, 2018

nice

By Risqi F

•

Dec 26, 2025

sds

By nathan d

•

Sep 18, 2025

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