Chevron Left
Back to Merge, Sort and Filter Data in Python Pandas

Learner Reviews & Feedback for Merge, Sort and Filter Data in Python Pandas by Coursera Project Network

4.5
stars
97 ratings

About the Course

Visualizing data patterns often involves re-arrangement and elimination to determine patterns. For example, in a list of data with yearly rainfall amounts, to quickly determine the years with the most rainfall, the data can be sorted according to rainfall in descending order. A filter could be used to limit the amount of data observed, for example, to only show rainfall amounts greater than an inch. A merge can be used to join two datasets together, for example rainfall and temperature data from two different sources. The ability to sort, merge and filter data has always existed using SQL with database data, now it can be done in application memory space using Python. In this course, you will create an application that reads data from two CSV files. You will learn how to merge, sort, and filter the data to ultimately produce a regression plot to determine a possible correlation between two data sets....

Top reviews

SJ

Nov 2, 2020

All doubts are clear and all concepts are explain in details ,happy to learn all new concepts.

Thank you.

AT

Nov 6, 2020

I loved this course because of the clarity and simplicity

Filter by:

1 - 13 of 13 Reviews for Merge, Sort and Filter Data in Python Pandas

By Idris

Sep 20, 2020

By Smita J

Nov 3, 2020

By Anureet K T

Nov 7, 2020

By Paul M

Jan 14, 2022

By abubakr

Oct 15, 2021

By Deepak K

Nov 2, 2020

By Darshan D T

Nov 3, 2020

By Hamed A

May 17, 2022

By Esteban G L

Jan 21, 2021

By Akash R

Sep 29, 2020

By Satyam K Y

Aug 11, 2020

By wangjunposter@gmail.com

Aug 15, 2020

By Steven W

Aug 22, 2020