Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,110 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

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.

Feb 13, 2020

Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

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2051 - 2075 of 3,012 Reviews for Data Analysis with Python

By M T E

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May 19, 2024

bravo

By Lahiru P

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Feb 2, 2024

Great

By KKAK K

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Nov 24, 2023

great

By Golamari m

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Oct 29, 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

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Sep 6, 2021

great

By bilibil

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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 26, 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 13, 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 18, 2020

goood

By Diego B

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Dec 18, 2019

great

By Arnab C

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Aug 15, 2019

best!