Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,544 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

Jul 16, 2020

Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should. A good starter course to wet your feet in DA!

May 8, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

Filter by:

2176 - 2200 of 3,100 Reviews for Data Analysis with Python

By Jomya M G

•

Oct 12, 2023

good

By MUHSIN I

•

Sep 18, 2023

good

By Hamza A

•

Sep 1, 2023

well

By Yusuf A

•

Aug 17, 2023

Good

By surya a

•

Jul 7, 2023

good

By JAYARATHNA M N M G

•

May 27, 2023

good

By Mohamed A

•

May 4, 2023

good

By TANNERU V 3

•

Mar 27, 2023

good

By Aymane M

•

Mar 17, 2023

nice

By Rajat S

•

Feb 10, 2023

amma

By Rasaq H

•

Jul 27, 2022

Nice

By Kevin L

•

May 2, 2022

Good

By Dokuparthi A

•

Apr 28, 2022

GOOD

By Santosh H

•

Apr 25, 2022

Good

By 121910309055 K S D

•

Apr 25, 2022

good

By Dibyendu s

•

Feb 28, 2022

nice

By Omar C V L

•

Feb 14, 2022

Good

By Mohamed E

•

Oct 26, 2021

good

By Satish w

•

Sep 27, 2021

good

By Pradeep K

•

Sep 12, 2021

Good

By Md. S I S

•

Sep 11, 2021

nice

By Isabella A T

•

Sep 6, 2021

Good

By Kofi D

•

Aug 17, 2021

good

By Yuqi X

•

Aug 2, 2021

good

By Sarath M

•

Aug 2, 2021

good