Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,572 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

Apr 16, 2023

Thanks for course! I met some errors, described them in your forms. I liked every models, but the final assignment was not interesting. I think it can be done better, with decisions and conclusions.

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.

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2176 - 2200 of 3,106 Reviews for Data Analysis with Python

By Norboyeva A A q

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May 28, 2024

good

By Raxmatjonov X

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May 26, 2024

GOOD

By Ilhom G

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May 26, 2024

GOOD

By MOHAMMED N

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Feb 24, 2024

Nice

By Jomya M G

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Oct 12, 2023

good

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 27, 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 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