Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,622 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

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.

Nov 22, 2019

Really interesting course, if one wants learn programming language. Well designed and structured. Only suggestion is, if the small videos contains example that be really great to understand it well

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2201 - 2225 of 3,118 Reviews for Data Analysis with Python

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

By KARIMULLA S S

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Dec 12, 2019

Good