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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,572 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

AM

Apr 16, 2023

Thanks for course! I met some errors, described them in your forms. I liked every models, but the final assignment was not interesting. I think it can be done better, with decisions and conclusions.

MW

Nov 11, 2021

Good Course. Very good overview of Python libs -Pandas, Numpy, Matplotlib, Scipy, Scikitlearn and Seaborn. I really enjoyed learning about them and seeing the usage. Highly recommended course.

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2151 - 2175 of 3,106 Reviews for Data Analysis with Python

By Dhanyashree S

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Dec 8, 2024

Good

By 2899_Aryan M

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Dec 6, 2024

Nice

By Thaniyamirsa A

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Dec 6, 2024

Good

By Sridhar M

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Dec 3, 2024

Good

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Nov 23, 2024

good

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Nov 20, 2024

good

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Nov 17, 2024

Good

By Alejandra S M

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Oct 9, 2024

good

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Oct 6, 2024

Good

By TILAK K

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Sep 11, 2024

good

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Sep 10, 2024

GOOD

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Sep 9, 2024

GOOD

By T K

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Aug 30, 2024

good

By Narayan B

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Aug 21, 2024

nice

By krishna k

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Aug 20, 2024

good

By محمد ا

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Aug 6, 2024

good

By Suggar S n

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Aug 5, 2024

NICE

By Taniya I G U C C

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Jul 4, 2024

Nice

By Dilfuza T

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Jun 14, 2024

GOOD

By Dior R

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Jun 7, 2024

good

By Абдуманонова А

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Jun 6, 2024

good

By malohatsamcity

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Jun 1, 2024

GOOD

By Mark J

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May 30, 2024

Nice

By ASATILLA B B O

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May 30, 2024

good

By Sirochxonmohira T

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May 28, 2024

good