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 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.

Feb 12, 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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1901 - 1925 of 3,012 Reviews for Data Analysis with Python

By Gautham N

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Dec 25, 2019

Good course

By Amna I

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Dec 18, 2019

learnt alot

By Mani T P

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Dec 1, 2019

Best course

By shivank k

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Nov 22, 2019

nice course

By Pulkeshin s

•

Nov 20, 2019

Nice Course

By Tanmay T

•

Nov 20, 2019

Good Course

By Hua S

•

Nov 2, 2019

Very great!

By Naveen S

•

Sep 23, 2019

very nice..

By Soumyadipta D

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Jul 23, 2019

nice course

By Ganesh P

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Apr 3, 2019

good course

By Mahesh A

•

Jan 6, 2019

Good Course

By Pankaj K

•

Jan 4, 2019

best course

By Zheng Z

•

Aug 19, 2018

Very useful

By Charles W

•

Jun 24, 2018

Good course

By balaprasad k

•

Nov 3, 2024

enjoyed it

By YASH P

•

Jul 16, 2023

amazing...

By Natalia B

•

Jun 11, 2023

Excellent!

By Mohammadreza S

•

Feb 21, 2023

Wonderful!

By Onedio S S J

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Aug 1, 2022

Excellent!

By Kristine K

•

May 24, 2022

Deep dive.

By Diego A C A

•

Apr 16, 2022

Buen curso

By Xiangyuan L

•

Jan 3, 2022

Very good!

By khánh v

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Sep 25, 2021

quite good

By Claude B B

•

Apr 20, 2021

Complete !

By Kapilesh G

•

Aug 27, 2020

Very good!