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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
7,916 ratings
1,000 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 20, 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.

AB

Feb 13, 2020

Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

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601 - 625 of 994 Reviews for Data Analysis with Python

By Muhammad S K

Sep 17, 2019

Excellent

By YIYUN M

Aug 25, 2019

excellent

By Madan K

Jul 06, 2019

Excellent

By George Z

Jun 18, 2019

perfect !

By Chironjeet K C

May 31, 2019

Was good.

By Ahmed E A

Mar 26, 2019

very nice

By chillamahesh

Mar 09, 2019

very nice

By JunqiHu

Sep 19, 2018

s实际的案例不够多

By Nicolas R

Feb 08, 2020

Great :D

By Lanwo A R

Dec 22, 2019

great!!1

By Roberto

Dec 09, 2019

awesome!

By Josemar T M d S

Aug 23, 2019

Completo

By R A N

Jun 15, 2019

good one

By Shashank R

Apr 06, 2019

Amazing!

By Ivan I

Mar 26, 2019

Awesome.

By Deleted A

Mar 21, 2019

Good one

By Yu M C

Dec 09, 2019

Awesome

By Patkari H B

Jun 16, 2019

Awesome

By chengwuquan

Apr 18, 2019

perfect

By Soumya R B

Dec 13, 2018

Awesome

By Sergejs S

Oct 22, 2018

Thanks!

By oussama r

Oct 12, 2019

Greaat

By Смолеевский В Г

Sep 14, 2019

Great!

By Adil S

Jan 27, 2019

zaebis

By Kuncoro A N

Jan 18, 2020

goood