Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,383 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

Mar 9, 2020

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

Jun 9, 2020

Great course to learn the basics for Data Analytics using Python.I really liked the framework and data analysis template or process given in the labs. I will use them as a reference for my real job!

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2151 - 2175 of 3,065 Reviews for Data Analysis with Python

By MUHSIN I

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Sep 18, 2023

good

By Hamza A

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Sep 1, 2023

well

By Yusuf A

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Aug 17, 2023

Good

By surya a

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Jul 7, 2023

good

By JAYARATHNA M N M G

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May 28, 2023

good

By Mohamed A

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May 4, 2023

good

By TANNERU V 3

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Mar 27, 2023

good

By Aymane M

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Mar 17, 2023

nice

By Rajat S

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Feb 10, 2023

amma

By Rasaq H

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Jul 27, 2022

Nice

By Kevin L

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May 3, 2022

Good

By Dokuparthi A

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Apr 28, 2022

GOOD

By Santosh H

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Apr 26, 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 27, 2021

good

By Satish w

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Sep 27, 2021

good

By Pradeep K

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Sep 13, 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 3, 2021

good

By Sarath M

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Aug 2, 2021

good

By harsh h

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Jun 30, 2021

good