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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,127 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 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.

VS

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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By saiganesh g

May 11, 2020

Happy

By Mauro M M R

Mar 23, 2020

great

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Jan 18, 2020

goood

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Dec 18, 2019

great

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Aug 15, 2019

best!

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Dec 31, 2018

Great

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Apr 4, 2025

good

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Mar 25, 2025

best

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Mar 18, 2025

good

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Feb 26, 2025

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Dec 8, 2024

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Dec 6, 2024

Nice

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Dec 6, 2024

Good

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GOOD

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Aug 30, 2024

good

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Aug 21, 2024

nice

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Aug 20, 2024

good