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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

RP

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.

AB

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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876 - 900 of 3,012 Reviews for Data Analysis with Python

By Harsha K

Sep 10, 2021

Very very happy with the course thank you IBM for this amazing opportunity

By mohammad f a

May 1, 2020

Awesome course data enthusiast must take this course . Best course content

By Johann F R P

Apr 20, 2020

Excelente, felicitaciones a los creadores del contenido y de los Notebooks

By Gerardo J P

Mar 25, 2020

A very good course to start learning Python and, of course, data analysis.

By Yohanes

Jan 21, 2020

It's Good for people who wants to know python and data analysis for newbie

By KUMAR B P

Mar 12, 2019

The course is unique in it's own way, simple in understanding and applying

By Haley T

Jan 16, 2019

One of my favorite courses on Coursera. I have learned a lot about Python.

By Ali S

Aug 26, 2024

That's absolutely awesome and effective. special thanks to Coursera team.

By Carolina Z O

Aug 28, 2020

Es un curso completo, con el recurso del laboratorio de IBM es excelente.

By Alejandro G

Apr 24, 2020

The topics are well explain to catch up in statistical terms and concepts

By Geetha N

Mar 3, 2020

Well thought off module as well inputs and project work are well designed

By RICARDO R A

Feb 18, 2020

Excelente curso, los laboratorios brindan una mejor comprensión del curso

By Saad Z

Nov 8, 2019

Probably the best to teach data analysis using Python. Thank you so much.

By Kalpa

Apr 18, 2019

Hands on and practical course, Lab exercises help to drive in the methods

By Cláudia P d r

Mar 23, 2025

Curso muito bom!! Estou aprendendo muito com os cursos da IBM - COURSERA

By BELGACEM G

Sep 15, 2023

Je suis vraiment trés heureux d'avoir terminé ces cours , merci beaucoup

By Manuel A N R

May 3, 2022

Very insightful and a great star to begin to understand Machine Learning

By Divya J C

Apr 3, 2022

Brilliant course content. Thorough covering of topics for data analysis.

By Syed A H N

Oct 7, 2021

Insightful course for any one who wants to learn Python for data science

By Senyo A

Apr 15, 2021

Well organized with interesting hands on labs. Thank to the instructors!

By Towhidul I

Aug 5, 2020

Tough course but a perfect one for becoming an effective Data Scientist!

By Mugdha V

May 7, 2020

Overview of major Python libraries and methods useful for data analysis.

By Subramanian C

Feb 8, 2020

Great Course........excellent introduction to data analysis with python.

By Alain G

Jan 3, 2020

A very good Introduction in Data science with python, great :) thank you

By Taha m

Aug 26, 2019

Excellent course for anyone who wants to learn Data analysis in Python.