Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
13,325 ratings
1,949 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

RP
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.

SC
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:

1301 - 1325 of 1,929 Reviews for Data Analysis with Python

By Gencay I

Feb 18, 2021

10/10

By KIM T

Feb 16, 2021

Great

By Madhan C

Jan 26, 2021

great

By Shreya M

Oct 13, 2020

Great

By Rafiul A

Aug 4, 2020

Great

By Pankaj S

Jun 24, 2020

great

By Fernando P

May 13, 2020

Nice!

By saiganesh g

May 11, 2020

Happy

By Mauro M M R

Mar 23, 2020

great

By Kuncoro A N

Jan 18, 2020

goood

By Diego B

Dec 18, 2019

great

By Arnab C

Aug 15, 2019

best!

By Kathleen P

Dec 31, 2018

Great

By Nikhil B

Jul 5, 2020

done

By Zixuan D

Jun 29, 2020

good

By VISHNU T B

Jun 28, 2020

Good

By SOUMYAJIT D

Jun 11, 2020

good

By Arijit K

Apr 28, 2020

good

By Prashant P

Apr 9, 2020

good

By NAMBURU V

Mar 11, 2020

good

By Nicolas M

Jan 5, 2020

good

By KARIMULLA S S

Dec 12, 2019

Good

By Tanmay S

Dec 1, 2019

Best

By Thilini M H

Nov 17, 2019

good

By mahendra s

Nov 9, 2019

cool