Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,670 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

Sep 5, 2023

Wonderful course, explained everything in the most easiest way possible. BUt hte module 4 and 5 ffeels kinda hard for a person who is not familiar with data visualization and machine learning.

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!

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2126 - 2150 of 3,128 Reviews for Data Analysis with Python

By Golamari m

•

Oct 28, 2023

SUPER

By Veeramanikandasamy T

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Oct 8, 2023

Super

By DYLAN E

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Sep 17, 2023

tanks

By Tuan P

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Oct 31, 2022

nice

By 21083010111 I R A

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Oct 21, 2022

good

By Aravind R

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Oct 15, 2022

good

By JAIPRAKAS G

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Oct 10, 2022

good

By SONALI M

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Oct 6, 2022

good

By Nightcore E

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Jul 15, 2022

tuyệt

By Amol C

•

Sep 6, 2021

great

By bilibil

•

Feb 18, 2021

10/10

By KIM T

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Feb 16, 2021

Great

By CS M L

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Jan 26, 2021

great

By Shreya M

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Oct 13, 2020

Great

By Rafiul A

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Aug 4, 2020

Great

By Pankaj S

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Jun 24, 2020

great

By Fernando P

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May 13, 2020

Nice!

By saiganesh g

•

May 11, 2020

Happy

By Mauro M M R

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Mar 23, 2020

great

By kuncoro a n

•

Jan 18, 2020

goood

By Diego B

•

Dec 18, 2019

great

By Arnab C

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Aug 15, 2019

best!

By Kathleen P

•

Dec 31, 2018

Great

By Nithyasree J

•

Apr 15, 2026

nice

By VIKASH K D

•

Jan 31, 2026

Good