Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,450 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.

Jul 16, 2020

Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should. A good starter course to wet your feet in DA!

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1876 - 1900 of 3,081 Reviews for Data Analysis with Python

By Angel M

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Jan 8, 2020

Muy practico

By Muthuramalingam A

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Jan 6, 2020

Good content

By Durgesh P

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Nov 9, 2019

Great course

By Frederico C V

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Oct 19, 2019

Excelente!!!

By Piero N

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Aug 30, 2019

Great course

By snehlata c

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Aug 19, 2019

Great course

By Ying w

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Aug 5, 2019

great course

By Rushikesh C

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Jul 14, 2019

Great Cource

By P M N

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Jul 8, 2019

Nice Classes

By SAKEER T

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Jun 16, 2019

Excellent...

By Gurnam S

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Mar 4, 2019

very nice...

By Weiying Z

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Jan 13, 2019

great course

By Vasileios M

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Nov 24, 2018

Thank You!!!

By Changmin K

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Aug 25, 2025

good course

By Shadrack D

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Jun 4, 2025

good course

By José K d S S

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Jun 1, 2025

Good course

By Anugrah A

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Apr 10, 2025

good course

By Foram P

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Jan 15, 2025

best course

By NHẤT Đ M

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Jan 14, 2025

So great!!!

By Sukirti

•

Oct 5, 2024

Good course

By Hesham A

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Sep 9, 2024

good course

By Semeter J R

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Mar 12, 2024

best of all

By Jose D Y S

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Dec 31, 2023

really good

By Uzzal K

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Dec 19, 2023

Outstanding

By Gautam R

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Oct 8, 2023

good course