Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,138 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鈥檒l 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鈥檒l build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you鈥檒l 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鈥檒l not only develop strong data analysis skills but also earn a 糖心vlog官网观看 certificate and an IBM digital badge to showcase your achievement....

Top reviews

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.

Jul 29, 2020

AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.

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By saiganesh g

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May 11, 2020

Happy

By Mauro M M R

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Mar 23, 2020

great

By kuncoro a n

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Jan 19, 2020

goood

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Dec 18, 2019

great

By Arnab C

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Aug 16, 2019

best!

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Jan 1, 2019

Great

By SUBHAM K

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Jun 23, 2025

good

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Apr 5, 2025

good

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Mar 26, 2025

best

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Mar 18, 2025

good

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Feb 27, 2025

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By Dhanyashree S

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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

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Nov 23, 2024

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Nov 21, 2024

good

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Nov 18, 2024

Good

By Alejandra S M

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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 31, 2024

good

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Aug 22, 2024

nice