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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,217 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

RP

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.

AB

Feb 13, 2020

Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

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2551 - 2575 of 3,036 Reviews for Data Analysis with Python

By Cherif H W A

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Dec 14, 2019

as usual the labs are great but the videos could be much better

By Nicholas J F

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May 4, 2019

Good content. Still spelling errors and mistakes in some place.

By Mudita N

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Feb 20, 2019

Last few weeks were a bit confusing but overall a good course .

By Ismayil J

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Nov 5, 2018

Good overview of classic Statistic methods performed in Python.

By laye c

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Jun 24, 2025

très content de faire ce cours et obtenir une autre compétence

By Shine

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Jun 18, 2019

There are something wrong in the final assignment submit page.

By Tatiana K

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Jan 25, 2019

Great course, but the number of errors in videos is tremendous

By Yongda F

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Jun 16, 2020

This is a good course for beginners, but not enough in-depth.

By Eliezer A

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Jul 30, 2019

there are some errors in the code lines through the lecutres.

By WANG T

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Jan 24, 2019

Typos in the videos and notebooks should have been corrected.

By Ashish R

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Feb 12, 2025

I'm expecting more modules can be include like SQL and EXCEL

By Raja U A

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Mar 4, 2021

Course Contents were excellent but not well arranged/planned

By alvaro a

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Oct 1, 2020

Buen curso, los talleres permiten la aplicación de conceptos

By Welamaza A M

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Jun 18, 2022

Well taught and is challenging enough to keep one motivated

By Abhay S

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May 12, 2020

Quiz sections are very simple in comparison to the lessons.

By Brijesh O

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May 6, 2020

Final assignment could be better thought out. very simple.

By Rahul S

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Jul 18, 2019

Very Helpful course..and very good contents..learnt alot..

By Narayanaswamy N

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May 25, 2019

First go for module 8 - Machine Learning and come to this.

By Ajay M

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Mar 8, 2020

The Non-Graded Online Assignment need more practice cases

By Beatriz N

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Aug 31, 2024

Is a good course but i think It could be better explain.

By Duc N

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Jun 17, 2023

that's an amazing course. thank you for helping a lot.

By Filiberto H

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Jan 17, 2020

Very difficult if you don't have some statistics bases

By Serena T

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Nov 22, 2019

A tough course yet interesting. Like the lab exercises

By Ran D

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Jan 5, 2019

The question jumped up in the video is quite annoying.

By Takudzwa G

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Jun 9, 2023

Awesome Course. The vids are rushed a little though