This is the code repository for Statistical Application Development with R and Python - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the ...

Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied ...

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source ...

Calculate common descriptive statistics for central tendency and variability as well as summarize a given set of data using appropriate descriptive statistics. This skill will convey the most common ...

attrition_pop <- read.fst("D:/DataCamp/Statistician_R/Statistics_With_R/All_Datasets/attrition.fst") spotify_population <- read.fst("D:/DataCamp/Statistician_R ...

R is a free and open-source programing language and that is very popular for data manipulation, statistical analyses, and graphics. This course provides a broad introduction to programming ...

It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in ...

This is a methods course focusing on the applications of statistics using R programming language. Topics include: Study designs, review of inference and regression, categorical data, logistic ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

In SAR Image Analysis — A Computational Statistics Approach, an accomplished team of researchers delivers a practical exploration of how to use statistics to extract information from SAR imagery. The ...