Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

14,938 ratings
2,245 reviews

About the Course

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews


Apr 19, 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.


May 5, 2020

I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.

Filter by:

2126 - 2150 of 2,249 Reviews for Data Analysis with Python

By Anmol P

Oct 14, 2019

Course could have been more elaborate in depth and scenarios

By Tichaona M

Aug 5, 2020

This is a great course for building the base to use Python!

By 林tanya

Dec 27, 2019

the lab is extremely useful, however, videos are too short

By Michael A D R

Nov 1, 2019

Extremely interesting BUT it gets long and hard to follow.

By Nihal N

Apr 18, 2019

not in depth.... needs more clarity on a variety of topics

By Alejandro A S

Jul 25, 2019

Experimented a lot of problems to complete the assignment

By Troy S

Mar 14, 2019

Quizzes are too easy. Don't even need to watch the videos

By Anurag P

Jan 18, 2020

Mostly theoretical; very little to implement on our own.

By Pulkit D

Jun 29, 2019

Please update and explain Rigid Regression a little more

By Appa R M

Oct 24, 2019

The kernal is stuck for some questions and its annoying

By Qing L

Jan 26, 2020

Kurs gut organisiert aber

die Fragen sehr oberflächlich

By Jakubina K

Dec 19, 2018

It would be more useful if labs were be rated as well.

By Ankit K S

Jan 29, 2020

It would be nice if the course had more assignments.

By Bhanu S

Apr 28, 2019

It was difficult to retain the knowledge imparted.

By Alton M

Jun 8, 2019

The course requires more interactive programming.

By Xiangyu L

Jan 19, 2019

There are lots of mistakes throughout the courses

By Abdul M A

Apr 17, 2019

Not very interactive with fewer help to learners

By Ashwin G

Apr 26, 2019

Too fast and could have included more examples.

By Gerhard E

Feb 12, 2019

Copy of videos, not a fan of tools used in labs

By Aditya D J

Mar 8, 2022

Nice, but I can't try IBM Cloud Trial for free

By Yasmin A

Feb 3, 2020

Un cours riche et adéquat pour les débutants

By Hiro H

Nov 27, 2019

Very nice course. It gives you what you need

By Brian S

Mar 29, 2020

Notebooks are sloppy, with typos and errors


Apr 6, 2022

I am not able to download my certificate.

By Fariha M

Sep 28, 2020

The course didn't seem challenging to me.