Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,480 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’ll 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’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll 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’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement....

Top reviews

Mar 9, 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.

May 8, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

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3076 - 3086 of 3,086 Reviews for Data Analysis with Python

By Deepanshu J

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Oct 21, 2022

Not telling the practical just explaing the theory

By Jinling C

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Jul 3, 2019

so confused and several errors , pls correct them

By Kenneth H

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May 4, 2020

I would like to give it a 0 but it won't let me

By Michael R

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Aug 31, 2018

No support from moderators, plenty of typos.

By saurabh r

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May 26, 2024

worst course till now, Ai generated voice

By JUAN E C S

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May 20, 2025

mal explicadon perros

By Laura E

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Aug 6, 2024

Boring narration

By Dmytro F

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Nov 30, 2021

Waste of time

By wanlinberg

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Sep 2, 2019

根本就打不开任何视频

By mostafaabuzeid

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Feb 11, 2020

V.Bad

By Қлышбай С Қ

•

Apr 30, 2025