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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,127 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

RP

Apr 19, 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.

VS

Jan 30, 2022

This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

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2126 - 2150 of 3,018 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 2, 2022

Good

By Dokuparthi A

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Apr 28, 2022

GOOD

By Santosh H

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Apr 25, 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 26, 2021

good

By Satish w

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Sep 27, 2021

good

By Pradeep K

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Sep 12, 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 2, 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 10, 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 10, 2020

good

By Nicolas M

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Jan 5, 2020

good