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Statistical-Fundamentals-for-Data-Science-Applications_Julia-Codes

Overview

This repository contains the corresponding Julia codes for the book:

Statistical Fundamentals for Data Science Applications: A Computer Simulation Based Approach Using R Programming

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The programs provided here reproduce and extend the statistical examples, computational illustrations, and simulation studies presented in the book using the Julia programming language.

The repository serves as a supplementary resource for students, researchers, instructors, and practitioners interested in statistical computing, simulation, and data science using Julia.


Repository Contents

The repository contains chapter-wise Julia programs corresponding to the topics discussed in the book. These codes are designed to help readers:

  • Understand statistical concepts through computation and simulation.
  • Implement statistical methods using Julia.
  • Reproduce numerical examples presented in the book.
  • Explore simulation-based approaches to statistical learning.

Intended Audience

This repository is useful for:

  • Undergraduate and postgraduate students
  • Researchers and academicians
  • Data science practitioners
  • Statistical computing enthusiasts
  • Julia programming learners

Citation

If you use these codes for teaching, learning, or research purposes, please cite the corresponding book:

Statistical Fundamentals for Data Science Applications: A Computer Simulation Based Approach Using R Programming.


Disclaimer

The codes provided in this repository are intended solely for educational and research purposes. Readers are encouraged to modify and extend the programs according to their learning and application needs.


Acknowledgements

The Julia implementations provided in this repository are inspired by the concepts, examples, and simulation-based approaches presented in the corresponding book. The repository aims to facilitate learning, experimentation, and reproducible statistical computing using Julia.

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