Visualization for Statistical Analysis
Offered By: Coursera Project Network via Coursera
Course Description
Overview
In this project you will learn about several visualization techniques and their importance for Statistical Analysis. The project demonstrates different plotting techniques, for example, histograms, scatter plots, box and whiskers plot, violin plot, bar plot, addition of regression line to scatter plot, and creating matrix of multiple plots. It also discusses the suitability of each plots according to the data type of the variables and illustrates multiple ways to achieve the desired plots efficiently. The project refers to 'Palmer Penguins' data set for the illustrative purpose.
Syllabus
- Project Overview
- In this project, you will learn about several visualization techniques and their importance for Statistical Analysis. The project demonstrates different plotting techniques, for example, histograms, scatter plots, box and whiskers plot, violin plot, bar plot, addition of regression line to scatter plot, and creating matrix of multiple plots. It also discusses the suitability of each plots according to the data type of the variables and illustrates multiple ways to achieve the desired plots efficiently. The project refers to 'Palmer Penguins' data set for the illustrative purpose.
Taught by
Barsha Saha
Related Courses
Introduction to Data Visualization with SeabornDataCamp Understanding Data Visualization
DataCamp Python Seaborn Tutorial in Hindi
YouTube Interactive Data Visualization with Bokeh
DataCamp Plotly Tips - Exploratory Data Analysis
FUN WITH DATA SCIENCE via YouTube