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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,110 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

RP

Apr 20, 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.

VS

Jan 31, 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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2551 - 2575 of 3,012 Reviews for Data Analysis with Python

By Duc N

Jun 17, 2023

that's an amazing course. thank you for helping a lot.

By Filiberto H

Jan 17, 2020

Very difficult if you don't have some statistics bases

By Serena T

Nov 22, 2019

A tough course yet interesting. Like the lab exercises

By Ran D

Jan 5, 2019

The question jumped up in the video is quite annoying.

By Takudzwa G

Jun 9, 2023

Awesome Course. The vids are rushed a little though

By Sunabh M

Apr 1, 2023

It should contain a bit more about machine learning.

By John P

Jul 21, 2021

Quite disappointed with the material in the course.

By Umasankar M

Aug 2, 2020

Need more model development examples will be helpful

By Themba M

Jun 11, 2020

Explanation of lab steps has a room for improvement.

By Andres E S G

Jan 11, 2020

It could have a little more theory about statistics.

By Adesua A D

Nov 4, 2019

My first course on coursera and its very informative

By Alexandru S

Jun 3, 2019

A lot of information, it is at times hard to follow.

By Rosemary M

May 8, 2023

This is a very educative course .Thank you Coursera

By Boru R

Sep 6, 2020

good course, but final assignment is way too simple

By siu t

Jul 19, 2020

Week 4 was too hard, while other modules were okay.

By Son P T

Jun 13, 2020

Very good course for learning about buidling models

By Neelam S

Jan 3, 2020

Examples should contain more codes used frequently.

By ZJ Y

Oct 1, 2019

it might need updating according to the new version

By Eirini K

May 21, 2020

Quite good to begin with, but not going in depth.

By Hui Z

Sep 26, 2019

Good resource to have a knowledge of pandas, etc.

By Deepratna A

Jun 24, 2019

Time and topic depth are not proportional at all.

By Patricia W

Aug 23, 2020

I thought it should be a little more assistance.

By khaled C

Apr 22, 2020

There are some little mistakes in the notebooks.

By Malege T M

Aug 26, 2019

A thoroughly impactful and well presented course

By D T

Apr 14, 2023

Great exexamples and practice questions. Thanks