Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,465 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

Nov 11, 2021

Good Course. Very good overview of Python libs -Pandas, Numpy, Matplotlib, Scipy, Scikitlearn and Seaborn. I really enjoyed learning about them and seeing the usage. Highly recommended course.

May 8, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

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2701 - 2725 of 3,085 Reviews for Data Analysis with Python

By ZOUZOU K F R

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Mar 18, 2021

tres ravi de terminer

By lalitha_sri

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Jul 11, 2020

it was very helpful.

By Joshua T

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Jul 28, 2019

Final test had bugs.

By Krishnaraj S

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Oct 1, 2023

good for beginners

By SATYAM K

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Feb 4, 2022

ExcellentExcellent

By mahesh C

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Apr 13, 2020

can go more deeper

By Darshak S

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Jan 28, 2020

very useful course

By RuthuRaj k

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Oct 12, 2023

Beginner Friendly

By Santiago A J

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Mar 8, 2022

Excelent and Fun

By Banappagari S R

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Aug 30, 2024

Vey good course

By Shuja A 1

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Nov 9, 2025

some how better

By Chimi C

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May 16, 2019

was really nice

By Shyam B K

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Sep 10, 2023

NIce exprience

By gabin N D

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Nov 16, 2022

Très bon cours

By aayushi s

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Jul 13, 2022

Great course !

By Luis A A Y

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Jun 15, 2020

Great Course !

By shilparani

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Aug 23, 2023

good to learn

By Divya s

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Jun 26, 2022

very helpfull

By Ruppa S S

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May 14, 2020

Great course!

By Jitendra K

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Dec 29, 2019

Best course .

By Yipin G

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Apr 7, 2023

very helpful

By Dom R

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Sep 18, 2022

It was fun.

By Pradeep N S

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Aug 3, 2020

Great Course

By MUSHARRAF H B

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May 28, 2020

Great Course

By Arvind G

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May 22, 2020

Nice content