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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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2826 - 2850 of 3,012 Reviews for Data Analysis with Python

By Ros R

Aug 13, 2019

The course is too long. The material should be divided and explained more detailed.

By Amanda A

Apr 17, 2020

There were many typos in the labs which made it difficult to understand at points.

By Juan S A G

Aug 21, 2020

very simple exercises which does not help to learn altough videos were exeptional

By Naresh T

Aug 12, 2023

It's really good course i really enjoyed learning new things in data analaytics.

By Naf

Nov 1, 2022

It was a good course but maybe a little too easy with all the prompts provided.

By Mohsen R

Jun 17, 2020

The course does not explain the processes enough, there should be more examples.

By Maciej L

May 16, 2019

Too many complicated things happening at once. It is hard to digest and follow.

By Tomasz S

Nov 19, 2018

Few small hiccups with the training videos and quite a few in the lab-excercise

By Craig S M

Mar 21, 2022

It ok. Some parts of the course were bare bone. I liked the hands on sections.

By Steven B

Jun 4, 2020

Overall I felt it was not broken down very well and seemed confusing at time.

By Pierre-Antoine M

Feb 19, 2020

Videos are nice but they are mistakes in the notebooks that disturbs learning

By Thanh T N

Mar 27, 2020

The lab is disconnected every so often that can't complete it smoothly.

By Jessica B

Jun 14, 2019

Good content, but lots of typos. The outsourcing is extremely evident.

By RODOLFO C R

Jan 24, 2022

This course focus on very important subjects but in a sketchy aproach

By Arjun S C

Aug 14, 2019

Lots of bugs and errors. No instructors reply on the discussion forum.

By Anvit S

May 13, 2020

Could have been more detailed....Important concepts just brushed thru

By Nourhan A Y

Aug 28, 2024

This course needed to be updated it lacks a lot of important basics

By Dibyendu M

May 20, 2023

The practical lab having technical issue .PDF is not downloadable.

By Holly R

Apr 16, 2020

Could use some better mathematical description of the techniques.

By Filippo M

Sep 27, 2019

Useful course, but the IBM online platforms are not working well.

By Robert P

May 17, 2019

Some concepts were quite confusing and not that well explained.

By Atharva Y

Jan 23, 2020

As compared to other courses this course seems to be too fast

By Nirav

Jun 26, 2019

Lot's of errors in this course, please update and correct it.

By Phetole E R

Jun 16, 2023

The course material did not prepare me for the final project

By Anmol P

Oct 14, 2019

Course could have been more elaborate in depth and scenarios