Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,416 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 9, 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.

Nov 30, 2020

A compact course. Good one who want to learn within a short period of time. But if one wants to understand the topics well, then he/she should go through the documentation of respective libraries.

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2176 - 2200 of 3,073 Reviews for Data Analysis with Python

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

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