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.

Sep 6, 2023

Wonderful course, explained everything in the most easiest way possible. BUt hte module 4 and 5 ffeels kinda hard for a person who is not familiar with data visualization and machine learning.

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2726 - 2750 of 3,077 Reviews for Data Analysis with Python

By B N B

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Jun 6, 2020

GOOD COURSE

By Shubham M

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Feb 27, 2019

Good Course

By LOKESH K S

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Nov 3, 2023

its useful

By Shawn H

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Jun 23, 2023

Too simple

By Julien A

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Sep 26, 2022

Very Good

By SAURAV

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Mar 11, 2022

goodcourse

By Sajeev R

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Jul 25, 2021

Lear Again

By Bhavesh J

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Jun 22, 2020

informaive

By Rimsha I

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Jul 15, 2025

Excellent

By NEERAJ G

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Aug 21, 2024

very easy

By Vipin G

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Apr 1, 2024

it's good

By Omer. K

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Oct 11, 2021

excellent

By Daniel F V V

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Aug 25, 2020

Good job

By Bayu T P

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Aug 21, 2023

so good

By Isaac N

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Dec 3, 2019

Thank's

By Veronica S

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Apr 7, 2019

not bad

By Ezzeldin A H

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Jul 19, 2023

V.GOOD

By Germ谩n G

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Mar 18, 2022

so so

By Sakhumzi D

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Sep 8, 2021

Decent

By KIRTAN K

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Oct 13, 2022

good

By moh a

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Sep 29, 2022

very

By Asmita K

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Jul 1, 2025

nice

By Dhruv R

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Mar 25, 2025

Nice

By Arpita D

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Nov 20, 2024

good

By LOKESH F

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Sep 11, 2024

nice