Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,436 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

Mar 10, 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.

Jul 17, 2020

Although good to learn the know-how of basic data analysis techniques, the quizzes are predictable and you don't end up coding as much as you should. A good starter course to wet your feet in DA!

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By duy n

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Apr 5, 2025

good

By Md H R

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Mar 26, 2025

best

By Geetha K

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Mar 18, 2025

good

By Niladri P

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Feb 27, 2025

Good

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 4, 2024

Good

By 2298_MONALISHA P

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Nov 23, 2024

good

By Ravi S

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Nov 21, 2024

good

By 袛芯褋褌芯薪袦

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Nov 18, 2024

Good

By Alejandra S M

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Oct 10, 2024

good

By K N

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Oct 6, 2024

Good

By TILAK K

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Sep 11, 2024

good

By PIYUSH B

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Sep 10, 2024

GOOD

By SONAJI S B

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Sep 10, 2024

GOOD

By T K

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Aug 31, 2024

good

By Narayan B

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Aug 22, 2024

nice

By krishna k

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Aug 21, 2024

good

By 賲丨賲丿丕

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Aug 6, 2024

good

By Suggar A S N

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Aug 6, 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 15, 2024

GOOD

By Dior R

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Jun 7, 2024

good

By 袗斜写褍屑邪薪芯薪芯胁邪袗

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Jun 6, 2024

good