Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,147 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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2051 - 2075 of 3,019 Reviews for Data Analysis with Python

By Adil S

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Jan 27, 2019

zaebis

By Karthik G

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Feb 5, 2025

great

By Pooja K

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Sep 13, 2024

goood

By Maaly M E H

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Jul 14, 2024

Great

By cathyxu

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Jun 1, 2024

Great

By M T E

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May 19, 2024

bravo

By Lahiru P

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Feb 3, 2024

Great

By KKAK K

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Nov 24, 2023

great

By Golamari m

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Oct 29, 2023

SUPER

By Veeramanikandasamy T

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Oct 9, 2023

Super

By DYLAN E

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Sep 18, 2023

tanks

By Tuan P

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Oct 31, 2022

nice

By 21083010111 I R A

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Oct 21, 2022

good

By Aravind R

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Oct 16, 2022

good

By JAIPRAKAS G

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Oct 10, 2022

good

By SONALI M

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Oct 6, 2022

good

By Nightcore E

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Jul 16, 2022

迟耻测峄噒

By Amol C

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Sep 6, 2021

great

By bilibil

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Feb 18, 2021

10/10

By KIM T

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Feb 16, 2021

Great

By CS M L

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Jan 27, 2021

great

By Shreya M

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Oct 14, 2020

Great

By Rafiul A

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Aug 4, 2020

Great

By Pankaj S

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Jun 24, 2020

great

By Fernando P

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May 14, 2020

Nice!