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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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2076 - 2100 of 3,012 Reviews for Data Analysis with Python

By Kathleen P

Dec 31, 2018

Great

By Nguyen M H

Apr 4, 2025

good

By Md H R

Mar 25, 2025

best

By Geetha K

Mar 18, 2025

good

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Feb 27, 2025

Good

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Dec 8, 2024

Good

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Dec 6, 2024

Nice

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Dec 6, 2024

Good

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Dec 4, 2024

Good

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Nov 23, 2024

good

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Nov 20, 2024

good

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Nov 18, 2024

Good

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Oct 10, 2024

good

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Oct 6, 2024

Good

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Sep 11, 2024

good

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Sep 10, 2024

GOOD

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Sep 10, 2024

GOOD

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Aug 30, 2024

good

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Aug 21, 2024

nice

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Aug 20, 2024

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Aug 6, 2024

good

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Aug 5, 2024

NICE

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Jul 4, 2024

Nice

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Jun 15, 2024

GOOD

By Dior R

Jun 7, 2024

good