University of Maryland Classifieds>University of Maryland Online Courses>Hierarchical relational data analysis using python

Hierarchical relational data analysis using python

About this Course

By the end of this project you will learn how to analyze Hierarchical Data. we are going to work with a dataset related to Mexico toy sales. The dataset contains some hierarchical data about different products sold in different stores in different cities in Mexico. we are going to load this data and after some preprocessing steps, we are going to learn how to analyze this data using different visualization techniques. During this project we are going to learn about a very important concept called Data Granularity. And we will also learn how to use different levels of granularity to answer some analytical question. and at the end we are going to talk about Treemaps and Sunburst Diagram, two handy visualization techniques used for hierarchical data.

Created by: Coursera Project Network


Related Online Courses

Memulai proses desain UX: Berempati (Empathize), Mendefinisikan (Define), Menciptakan Ide (Ideate) adalah materi kedua dalam program sertifikat yang akan membekali Anda dengan keterampilan yang... more
Python is one of the most popular and widely-used programming languages in the world due to its high usability and large collection of libraries. This learning path provides an application-driven... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you migrate an on-premises MySQL database (running on a virtual machine) to Cloud SQL for MySQL using a... more
This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Associate Cloud Engineer certification.... more
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to create new reporting tables using SQL JOINS and UNIONs.Created by: Google Cloud more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL