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Welcome to the DataAnalysis Wiki! This wiki provides a structured and beginner-friendly guide to help you navigate the fundamentals of data analysis, set up your working environment, and become familiar with the essential tools, workflows, and resources used throughout your projects.
Here, you will find step-by-step instructions, practices, software installation guides, and command references tailored to support both newcomers and experienced users working within the CERN ecosystem or general scientific computing environments.
- Essential onboarding information for new users beginning their work or research within the CERN environment:
- A step-by-step guide on how to request, create, and activate your CERN user account:
- An introduction to using GitHub for version control, project collaboration, and code management:
Setting Up a GitHub Repository
- Configure important GitHub profile settings to ensure proper identity, security, and repository management:
Feel free to explore the additional sections in the wiki for more detailed information and advanced topics.
- Getting Started for Newcomers
- Getting a CERN User Account
- Setting Up a GitHub Repository
- Working with Git Commands
Learn how to generate and register a personal Grid certificate required for accessing CERN computing resources.
https://github.com/IUHEPandML/DataAnalysis/wiki/Creating-a-Grid-Certificate
Configure important GitHub profile settings to ensure proper identity, security, and repository management.
https://github.com/IUHEPandML/DataAnalysis/wiki/GitHub-Information-Settings
Instructions on how to access and download datasets from Kaggle for data analysis and machine-learning projects.
https://github.com/IUHEPandML/DataAnalysis/wiki/Kaggle-Datasets-Download
A concise reference for commonly used Linux and Unix commands essential for terminal-based workflows.
https://github.com/IUHEPandML/DataAnalysis/wiki/Linux--&-unix-bash-Commands
Overview of installing and using MadGraph for particle-physics simulations and event generation.
https://github.com/IUHEPandML/DataAnalysis/wiki/Madgraph
Learn the fundamentals of using CERN’s ROOT framework for data analysis, plotting, and statistical modeling.
https://github.com/IUHEPandML/DataAnalysis/wiki/ROOT-Basics
Useful terminal commands and workflows for interacting with remote servers and computing clusters.
https://github.com/IUHEPandML/DataAnalysis/wiki/Server-commands
Step-by-step instructions for installing Ubuntu and setting up the ROOT environment on your system.
https://github.com/IUHEPandML/DataAnalysis/wiki/Ubuntu-&-ROOT-Installation
A quick guide to reading and writing ROOT files using Uproot in Python-based analysis workflows.
https://github.com/IUHEPandML/DataAnalysis/wiki/Uproot-Input-Output
A curated list of helpful resources, documentation, and tools for data analysis and CERN-related work.
https://github.com/IUHEPandML/DataAnalysis/wiki/Useful-&-Instructive-Links
A practical reference for essential Git commands used in version control and project management.
https://github.com/IUHEPandML/DataAnalysis/wiki/Working-with-Git-commands