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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2676 - 2700 of 3,106 Reviews for Data Analysis with Python

By Moussa S

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Apr 26, 2020

Excellent ! Helped me discover new tools

By Harshil G

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Apr 29, 2020

It's very good start into data science.

By Muhammad I

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Nov 17, 2025

Great course for Advance Data Science

By Atuhaire E

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Sep 17, 2022

Very mind challenging but insightful

By Δημήτρης Τ

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Mar 1, 2022

It was a beneficial lesson generally.

By Oladeji S O

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May 13, 2020

Wonderful course, I really enjoyed it

By Lovely K

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Jun 14, 2022

this course is very important for me

By ASMITA K

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Oct 6, 2019

Average Course with simple learning.

By Alpha Z

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Feb 2, 2020

Too easy. Make it more challenging!

By Sachin G

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May 29, 2019

should have more thorough examples

By Liliana R (

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Nov 14, 2018

There are some errors in the labs

By Rauf S

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Apr 8, 2020

you can explain more efficiently

By José C D S

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Jun 6, 2019

It took me longer than estimated

By Edoardo B

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Jan 13, 2019

Missing a Peer-reviewed exercise

By ABHISHEK A

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Jul 21, 2018

Where good to start for beginner

By Tom C

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Jan 6, 2026

parfais mais comment recup l'id

By Hamid R

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May 17, 2025

très intéressant et très riche.

By Ruchika G

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Dec 25, 2022

best course for basic concepts.

By Sripriya D

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Jul 19, 2020

it felt very dry for some parts

By Jignesh P

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May 12, 2020

Great Learning from this course

By Joseph S

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May 3, 2020

Modules 4 & 5 need more detail.

By Rizwan N T

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May 29, 2023

good course, i would recommend

By NIMMAKAYALA S

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Apr 4, 2023

good for data analytics course

By Shamik K

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Dec 27, 2020

Diff course but well planned !