Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,310 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 19, 2019

perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

Jan 30, 2022

This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

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2026 - 2050 of 3,050 Reviews for Data Analysis with Python

By Roberto M

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Dec 9, 2019

awesome!

By Josemar T M

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Aug 23, 2019

Completo

By Appala N

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Jun 15, 2019

good one

By Shashank R

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Apr 6, 2019

Amazing!

By Ivan I

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Mar 26, 2019

Awesome.

By Deleted A

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Mar 21, 2019

Good one

By HUSEYN I

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Aug 1, 2025

Awesome

By Siham

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Nov 15, 2024

amazing

By Rustam S

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Jul 12, 2024

Amazing

By Nho C D

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Apr 9, 2024

usefull

By ADEEBA R 2

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Jul 7, 2023

Perfect

By Sirojiddin D

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Apr 2, 2022

awesome

By Raghavendra S K

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Sep 13, 2021

amazing

By yuebin l

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Feb 20, 2021

amazing

By Esteban O

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Oct 24, 2020

Usefull

By Harsha G

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May 7, 2020

AWESOME

By Zakaria E

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Apr 24, 2020

awesome

By Alejandro A

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Apr 24, 2020

Great!!

By Yu M C

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Dec 9, 2019

Awesome

By Patkari H B

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Jun 16, 2019

Awesome

By Will C

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Apr 18, 2019

perfect

By Soumya R B

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Dec 13, 2018

Awesome

By Abdelrahman G

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Jul 7, 2025

thanks

By Pham T H

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Oct 7, 2024

Great!