Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,136 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 19, 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.

Jan 30, 2022

This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

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2026 - 2050 of 3,018 Reviews for Data Analysis with Python

By Esteban O

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Oct 24, 2020

Usefull

By Harsha G

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May 7, 2020

AWESOME

By Zakaria E

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Apr 24, 2020

awesome

By Alejandro A

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Apr 24, 2020

Great!!

By Yu M C

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Dec 9, 2019

Awesome

By Patkari H B

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Jun 16, 2019

Awesome

By Will C

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Apr 18, 2019

perfect

By Soumya R B

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Dec 13, 2018

Awesome

By Sergejs S

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Oct 22, 2018

Thanks!

By Pham T H

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Oct 7, 2024

Great!

By S A B A

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Jul 27, 2024

ممتازه

By Martha B G R

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Mar 25, 2024

Great!

By Ahmed Y M I

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Oct 23, 2023

thanks

By AHMED A I M

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Nov 23, 2022

GOOOOD

By Amber V

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Aug 13, 2022

awsome

By Kehinde D

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May 23, 2022

Great!

By Zijun H

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Apr 30, 2022

Great!

By Abul B

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Feb 22, 2022

thanks

By Ishita

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Mar 1, 2021

Great!

By Kasi V

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Nov 1, 2020

Thanks

By Piriyapong W

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May 25, 2020

Great!

By Purple M

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Mar 21, 2020

great!

By Alberto T

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Feb 28, 2020

Useful

By oussama r

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Oct 12, 2019

Greaat

By Смолеевский В Г

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Sep 14, 2019

Great!