Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,422 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.

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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2651 - 2675 of 3,074 Reviews for Data Analysis with Python

By Harshil G

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Apr 29, 2020

It's very good start into 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 15, 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 7, 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 22, 2018

Where good to start for beginner

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 !

By Trang N D N

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Feb 28, 2020

there are some bugs in the lab

By Igor G

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Jun 5, 2019

No linter was used by authors.

By Lalaine J B

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Jul 28, 2024

still didnt receive the badge