Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,347 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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2726 - 2750 of 3,060 Reviews for Data Analysis with Python

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

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

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Nov 11, 2022

easy

By Motlatsi M

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Dec 24, 2020

BEST

By Landyn C O

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Oct 7, 2020

good

By David H

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Mar 7, 2020

good

By Oseyi K

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Jul 13, 2019

good

By Abhi 0

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Apr 23, 2019

good

By Vigneshwaran P

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Mar 13, 2019

good

By Ayo S

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Oct 23, 2018

Good

By Sandesh L

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Sep 14, 2022

wow

By Momin P

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May 22, 2022

By vic l

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Oct 17, 2021

By Shubham S

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Mar 10, 2022

By Isaac S

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Jul 6, 2020

By MAHESH K W

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Jan 21, 2020