Conducting Exploratory Data Analysis
About this Course
Conduct exploratory data analysis with a systematic approach to investigate different aspects of your data: comparisons, relationships, compositions, and distributions. This guided project gives you a framework so you can conduct your own exploratory data analysis and make your work more professional and organized. The language is Python and the libraries used are seaborn, pandas, and matplotlib.Created by: Coursera Project Network
Related Online Courses
Code and run your first python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just python,... more
By the end of this course you will be able to start writing your own Jenkins scripts either in the Jenkins UI or as Jenkinsfile over a multi-stage CD workflow.Created by: Coursera Project Network more
Blockchain promises to disrupt industries once it will be efficient at large scale. In this course, you will learn how to make blockchain scale. You will learn about the foundational problem of... more
In this course, you will learn important language for talking about nutrition, health, sleep, stress, goal-setting, and more. Learning activities in this course will take place on Voxy, an engaging... more
The Geotechnical Foundation Design specialization provides a structured learning path to master essential concepts in foundation engineering, covering site investigation, shallow foundation... more
Powered by
