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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
13,610 ratings
1,996 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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1026 - 1050 of 1,986 Reviews for Data Analysis with Python

By Rafael M

Aug 12, 2020

Very good labs and datasets

By G S K

Jun 25, 2020

a very informative seesions

By Sarika J

May 2, 2020

very nice and easy language

By Albert D

Jan 14, 2020

I learn a lot in this class

By Dr P R K

May 1, 2019

excellent course i loved it

By Lei

Dec 9, 2018

very good. I will continue.

By Samsonova A

Nov 4, 2020

This course is very useful

By Eiichi S

Sep 18, 2020

Thank you for the contents

By Greg D

Jun 11, 2020

Very useful for my project

By Prashant K

Apr 24, 2020

Really nice taught course.

By Khoong L E

Dec 13, 2019

Great course for beginner!

By Александр И

Nov 28, 2019

Best course for beginners!

By DEBOLINA M

Jul 3, 2019

A very informative course!

By Grigori P

Mar 29, 2019

Excellent course , thanks!

By Xiaoqi Z

Nov 11, 2018

Very systematic and clear.

By Karan N

Feb 11, 2021

Great course! Lots of fun

By DENKALA G

Jan 2, 2021

thanks to all instructors

By saikrishna d

Aug 12, 2020

Best data analysis course

By anurag s

Aug 3, 2020

great learning experience

By Devlina S

Jun 10, 2020

very easy learning portal

By k v r

May 25, 2020

good practical experience

By Terrill T

May 13, 2020

Good foundational insight

By SIMONE C

Apr 20, 2020

Easy and nice training...

By Arman A

Apr 11, 2020

Must read the full course

By Zhengweifan

Sep 25, 2019

lab materials are helpful