Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,536 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

Mar 9, 2020

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

Dec 8, 2021

Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course. I appreciate the coordinators in making it possible. Thank you.

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2101 - 2125 of 3,098 Reviews for Data Analysis with Python

By cathyxu

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May 31, 2024

Great

By M T E

•

May 19, 2024

bravo

By Lahiru P

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Feb 2, 2024

Great

By KKAK K

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Nov 23, 2023

great

By Golamari m

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Oct 28, 2023

SUPER

By Veeramanikandasamy T

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Oct 8, 2023

Super

By DYLAN E

•

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 9, 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 Mehmet G I

•

Feb 17, 2021

10/10

By KIM T

•

Feb 15, 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 23, 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