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

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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1976 - 2000 of 3,086 Reviews for Data Analysis with Python

By Tiến P N N

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Oct 10, 2024

Very good

By Jose A A G

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Sep 17, 2024

excellent

By Carlos A R P

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Sep 4, 2024

Excelente

By Jose D

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Aug 25, 2024

very good

By Abel G

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Aug 15, 2024

Excellent

By Amandeep S

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Aug 3, 2024

very nice

By Abhishek K S

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Jul 29, 2024

thank you

By MOHAN B

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Jun 11, 2024

Very good

By Hnin A

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May 15, 2024

difficult

By Kiệt T

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Jan 22, 2024

realistic

By Rodrigo P

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Sep 12, 2023

Excelente

By Hamas A

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Jul 27, 2023

nextlevel

By SUMEET S

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Mar 18, 2023

very good

By Vernando B

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Nov 28, 2022

very good

By Danitza A L

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Nov 2, 2022

Good one!

By AwkNinja

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Oct 17, 2022

Amazing.

By Winner

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Jul 30, 2022

Very good

By Mahdi T

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Jun 12, 2022

the best

By 文素婷

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Dec 8, 2021

very good

By EMAD A A A

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Nov 9, 2021

excellent

By Shubhanshu

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Sep 4, 2021

very good

By Gaurish G

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Jul 22, 2021

Excellent

By Rafael J A C

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Oct 19, 2020

Excellent

By OLAWALE F

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Sep 1, 2020

Excellent

By Ever J O H

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Jul 20, 2020

EXCELENTE