Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,596 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.

Jul 30, 2021

Totally overwhelmed with the course contents and easyness in teaching. The course will make you familiarize the fundamentals in a way that you will never forget when you used in a real world.

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2776 - 2800 of 3,112 Reviews for Data Analysis with Python

By Sakhumzi D

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Sep 8, 2021

Decent

By KIRTAN K

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Oct 13, 2022

good

By moh a

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Sep 29, 2022

very

By Chirapat C

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Nov 26, 2025

Good

By Asmita K

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Jul 1, 2025

nice

By Dhruv R

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Mar 24, 2025

Nice

By Arpita D

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Nov 19, 2024

good

By LOKESH F

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Sep 11, 2024

nice

By SACHIN.S

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Mar 31, 2024

nice

By Dheeraj D

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Mar 29, 2024

good

By Sweeti S

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Feb 1, 2023

good

By Hesham M R

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Nov 10, 2022

easy

By Motlatsi M

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Dec 23, 2020

BEST

By Landyn C O

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Oct 6, 2020

good

By David H

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Mar 7, 2020

good

By Oseyi K

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Jul 12, 2019

good

By Abhi 0

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Apr 22, 2019

good

By Vigneshwaran P

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Mar 13, 2019

good

By Ayo S

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Oct 23, 2018

Good

By Sandesh L

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Sep 13, 2022

wow

By Momin P

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May 22, 2022

By vic l

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Oct 17, 2021

By Shubham S

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Mar 9, 2022

By Isaac S

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Jul 5, 2020

By MAHESH K W

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Jan 21, 2020