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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,480 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

MW

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.

BK

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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2076 - 2100 of 3,085 Reviews for Data Analysis with Python

By AHMED A I M

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Nov 23, 2022

GOOOOD

By Amber V

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Aug 13, 2022

awsome

By Kehinde D

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May 23, 2022

Great!

By Zijun H

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Apr 30, 2022

Great!

By Abul B

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Feb 22, 2022

thanks

By Ishita

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Mar 1, 2021

Great!

By Kasi V

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Nov 1, 2020

Thanks

By Piriyapong W

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May 25, 2020

Great!

By Purple M

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Mar 21, 2020

great!

By Alberto T

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Feb 28, 2020

Useful

By oussama r

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Oct 12, 2019

Greaat

By Смолеевский В Г

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Sep 14, 2019

Great!

By Adil S

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Jan 27, 2019

zaebis

By cristhian c

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Nov 2, 2025

BUENO

By Karthik 1

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Feb 5, 2025

great

By Pooja K

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Sep 13, 2024

goood

By Maaly M E H

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Jul 13, 2024

Great

By cathyxu

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May 31, 2024

Great

By M T E

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May 19, 2024

bravo

By Lahiru P

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Feb 2, 2024

Great

By KKAK K

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Nov 23, 2023

great

By Golamari m

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Oct 28, 2023

SUPER

By Veeramanikandasamy T

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Oct 8, 2023

Super

By DYLAN E

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Sep 17, 2023

tanks

By Tuan P

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Oct 31, 2022

nice