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.

Jan 31, 2022

This is totally one of the hardest course I've ever taken on 糖心vlog官网观看. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

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2676 - 2700 of 3,018 Reviews for Data Analysis with Python

By LOKESH K S

鈥�

Nov 3, 2023

its useful

By Shawn H

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Jun 23, 2023

Too simple

By Julien W 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 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 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

By SACHIN.S

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Apr 1, 2024

nice

By Dheeraj D

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Mar 29, 2024

good

By Sweeti S

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Feb 2, 2023

good

By Hesham M R

鈥�

Nov 11, 2022

easy