Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

14,237 ratings
2,110 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

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.

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.

Filter by:

776 - 800 of 2,104 Reviews for Data Analysis with Python

By Valerii P

Nov 25, 2018

That was a great start for Data Analysis field's discovery!

By Rutav M

Oct 22, 2018

Good explanation for each topic and nicely designed course.

By charles l

Aug 19, 2020

Great course - really great notes, exercises and projects!

By Ashish S

Jul 11, 2020

Very good course learnt a lot and cleared a lot of doubts.

By Stan M

Jun 11, 2020

Great content. Ton of stuff to learn if you are motivated.

By Yiming Z

Mar 14, 2020

great experience with IBM data analysis with Python


By Hasan F

Feb 8, 2020

Concise but effective lectures, great learning experience.

By Martin A K

Feb 2, 2020

easy to follow. good theory as well as hands-on exercises.

By Aloke D G

Sep 21, 2019

Great Course matertial.. very much to the real application

By Lorenzo B

May 24, 2020

The exams are too easy! But the knowledge gained is handy

By Anna L

May 5, 2020

Excellent course, lots of theory and practical excercises

By sumit g

Jan 5, 2020

The course architecture was very fluid and easy to learn.

By Ratheeshwaraa K

Aug 14, 2019

It helped me a lot to start my role towards data science.

By A S R

Oct 24, 2018

Very good explanation of concepts using a perfect example

By Anurag S

Sep 13, 2021

PPerfectly Presented and Smoothly explained the concepts

By Balasaheb G

May 19, 2021

Very good course for starting Data analysis with Python.

By Roger P

Dec 5, 2020

Buen curso para iniciar en el mundo de ciencia de datos.

By Gaurav P

Aug 22, 2020

Great for beginners who are interested in data analysis.


Jul 27, 2020

Amazing course. Very well structured and well organised.

By Ramana G

Jun 25, 2020

Thank you for the course content and excellent delivery.

By Priyam P

Jun 22, 2020

This is a good for beginners. It teaches all the basics.

By Mauricio P

Apr 16, 2020

Good start to learning about linear regression in Python

By Samip T

Mar 1, 2020

Exceptional course. Kudos to the instructors. Thank you.

By Leehyungjoon

Feb 20, 2020

Strongly recommend if you need basic knowledge of python

By Tianhui G

Jan 12, 2020

Very nice combination with statistics and data analysis.