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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,398 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

LM

Mar 9, 2020

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

BK

May 8, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

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By 2899_Aryan M

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Dec 6, 2024

Nice

By Thaniyamirsa A

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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 9, 2024

good

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Oct 6, 2024

Good

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Sep 11, 2024

good

By PIYUSH B

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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

good

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Aug 6, 2024

good

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Aug 5, 2024

NICE

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Jul 4, 2024

Nice

By Dilfuza T

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Jun 15, 2024

GOOD

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Jun 7, 2024

good

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Jun 6, 2024

good

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Jun 1, 2024

GOOD

By Mark J

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May 31, 2024

Nice

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May 31, 2024

good

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May 28, 2024

good

By Norboyeva A A q

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May 28, 2024

good