Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,416 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.

Jul 29, 2020

AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.

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2101 - 2125 of 3,079 Reviews for Data Analysis with Python

By Nightcore E

鈥�

Jul 16, 2022

迟耻测峄噒

By Amol C

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Sep 6, 2021

great

By Mehmet G I

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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 27, 2021

great

By Shreya M

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Oct 14, 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 14, 2020

Nice!

By saiganesh g

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May 11, 2020

Happy

By Mauro M M R

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Mar 23, 2020

great

By kuncoro a n

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Jan 19, 2020

goood

By Diego B

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Dec 18, 2019

great

By Arnab C

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Aug 16, 2019

best!

By Kathleen P

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Jan 1, 2019

Great

By Gunawan

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Oct 31, 2025

good

By Nandhini 2

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Aug 29, 2025

good

By Vaidehi P

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Aug 24, 2025

good

By Mahesh

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Aug 3, 2025

good

By Sharvari M

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Jul 26, 2025

Good

By M.atchaya

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Jul 23, 2025

Good

By Reema A

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Jul 23, 2025

good

By VISHNU.P

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Jul 22, 2025

good

By Abubakar A

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Jul 11, 2025

good

By SUBHAM K

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Jun 23, 2025

good