Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,407 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

Apr 20, 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

Jul 29, 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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2176 - 2200 of 3,071 Reviews for Data Analysis with Python

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 30, 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 10, 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 13, 2019

Good

By Tanmay S

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Dec 2, 2019

Best

By Thilini H

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Nov 18, 2019

good

By Mahendra S

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Nov 10, 2019

cool

By Manea S I

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Sep 10, 2019

nice

By Marouane E O

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Sep 6, 2019

good

By jacob j

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Aug 13, 2019

good

By Yuan Y

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Jul 16, 2019

good

By Miriam R

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Mar 28, 2019

good

By Talha P

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Mar 27, 2019

good