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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
14,231 ratings
2,109 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

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.

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.

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1176 - 1200 of 2,103 Reviews for Data Analysis with Python

By Ahmed M A E E

Nov 7, 2019

very good course .

By Daniel C S

Sep 16, 2019

Excellent course!!

By Venkat

Jul 18, 2019

Very good course !

By Anthonny A

Feb 19, 2019

Quite interesting.

By Liang Y

Feb 17, 2019

learn a lot THANKS

By Tarini S G

Dec 31, 2018

Really nice course

By Ravindra S N

Aug 8, 2021

e​xcellent course

By abhishek k

Jul 21, 2021

very good course.

By Bijoy T

Feb 4, 2021

Excellent course.

By Leonardo V

Jan 19, 2021

Great Methodology

By THAN H

Dec 9, 2020

Nice teaching ...

By Tushar S S

Jun 29, 2020

Great and helpful

By Gareth M

Apr 5, 2020

Toughest one yet.

By Enrique R

Mar 24, 2020

Excellent course!

By Chris H

Feb 15, 2020

Wonderful course!

By Ashish B

Jan 31, 2020

Very informative!

By Alvaro S Q R

Nov 15, 2019

buena explicación

By Juan D P

Sep 8, 2019

Very good course!

By Jean M T

Jun 25, 2019

Excellent course!

By Valdi N A

Feb 21, 2019

Excellent course.

By Marthe a

Feb 6, 2019

very challenging.

By LU Z Q

Dec 30, 2018

simple and useful

By Li Q

Jun 23, 2018

Very good course!

By RUSHIKEH S K

Nov 28, 2021

very helpfull...

By Hugo S G

Oct 13, 2021

Excelent course!