Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,631 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

May 22, 2020

Data analysis with python has a high standard of content.I hope this is useful for me to crack DS interviews.The content is well structured.Quizzes,assignment and video lectures are corelated.

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!

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2201 - 2225 of 3,119 Reviews for Data Analysis with Python

By Rasaq H

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Jul 27, 2022

Nice

By Kevin L

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May 3, 2022

Good

By Dokuparthi A

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Apr 28, 2022

GOOD

By Santosh H

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Apr 26, 2022

Good

By 121910309055 K S D

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Apr 25, 2022

good

By Dibyendu s

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Feb 28, 2022

nice

By Omar C V L

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Feb 14, 2022

Good

By Mohamed E

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Oct 27, 2021

good

By Satish w

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Sep 27, 2021

good

By Pradeep K

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Sep 13, 2021

Good

By Md. S I S

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Sep 11, 2021

nice

By Isabella A T

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Sep 6, 2021

Good

By Kofi D

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Aug 17, 2021

good

By Yuqi X

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Aug 3, 2021

good

By Sarath M

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Aug 2, 2021

good

By harsh h

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Jun 30, 2021

good

By Swati P

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Jun 9, 2021

nice

By Nikhil B

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Jul 5, 2020

done

By Zixuan D

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Jun 29, 2020

good

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