Chevron Left
Back to Data Analysis with Python

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.

AB

Feb 13, 2020

Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

Filter by:

2001 - 2025 of 3,012 Reviews for Data Analysis with Python

By Cesar Q

Jan 15, 2022

Awesome!

By Isaac N

Jul 26, 2021

Awesome!

By BHUVANENDRAN B

Jul 2, 2020

Awesome!

By Daniel R

May 20, 2020

perfect!

By lixulun

May 6, 2020

课程节奏太棒了!

By Nicolás E R O

Feb 8, 2020

Great :D

By lanwo a

Dec 22, 2019

great!!1

By Roberto M

Dec 9, 2019

awesome!

By Josemar T M

Aug 23, 2019

Completo

By Appala N

Jun 15, 2019

good one

By Shashank R

Apr 6, 2019

Amazing!

By Ivan I

Mar 26, 2019

Awesome.

By Deleted A

Mar 21, 2019

Good one

By Siham

Nov 15, 2024

amazing

By Rustam S

Jul 12, 2024

Amazing

By Nho C D

Apr 9, 2024

usefull

By ADEEBA R 2

Jul 7, 2023

Perfect

By Sirojiddin D

Apr 3, 2022

awesome

By Raghavendra S K

Sep 13, 2021

amazing

By yuebin l

Feb 20, 2021

amazing

By Esteban O

Oct 24, 2020

Usefull

By Harsha G

May 7, 2020

AWESOME

By Zakaria E

Apr 25, 2020

awesome

By Alejandro A

Apr 24, 2020

Great!!

By Yu M C

Dec 9, 2019

Awesome