Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,347 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鈥檒l 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鈥檒l build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you鈥檒l 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鈥檒l not only develop strong data analysis skills but also earn a 糖心vlog官网观看 certificate and an IBM digital badge to showcase your achievement....

Top reviews

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.

Jan 31, 2022

This is totally one of the hardest course I've ever taken on 糖心vlog官网观看. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

Filter by:

2101 - 2125 of 3,060 Reviews for Data Analysis with Python

By Kathleen P

鈥�

Jan 1, 2019

Great

By Nandhini 2

鈥�

Aug 29, 2025

good

By Vaidehi P

鈥�

Aug 24, 2025

good

By Mahesh

鈥�

Aug 3, 2025

good

By Sharvari M

鈥�

Jul 26, 2025

Good

By M.atchaya

鈥�

Jul 23, 2025

Good

By Reema A

鈥�

Jul 23, 2025

good

By VISHNU.P

鈥�

Jul 22, 2025

good

By Abubakar A

鈥�

Jul 11, 2025

good

By SUBHAM K

鈥�

Jun 23, 2025

good

By Nguyen M H

鈥�

Apr 5, 2025

good

By Md H R

鈥�

Mar 26, 2025

best

By Geetha K

鈥�

Mar 18, 2025

good

By Niladri P

鈥�

Feb 27, 2025

Good

By Dhanyashree S

鈥�

Dec 8, 2024

Good

By 2899_Aryan M

鈥�

Dec 6, 2024

Nice

By Thaniyamirsa A

鈥�

Dec 6, 2024

Good

By Sridhar M

鈥�

Dec 4, 2024

Good

By 2298_MONALISHA P

鈥�

Nov 23, 2024

good

By Ravi S

鈥�

Nov 21, 2024

good

By 袛芯褋褌芯薪袦

鈥�

Nov 18, 2024

Good

By Alejandra S M

鈥�

Oct 10, 2024

good

By K N

鈥�

Oct 6, 2024

Good

By TILAK K

鈥�

Sep 11, 2024

good

By PIYUSH B

鈥�

Sep 10, 2024

GOOD