Getting Started
===============

Welcome to CAIS! This section will help you get up and running with the Causal AI Scientist quickly and efficiently.

New to causal inference? Start with our :doc:`first_analysis` guide to understand the basics. If you're already familiar with causal inference concepts, jump straight to the :doc:`quickstart` tutorial.

.. toctree::
   :maxdepth: 2
   :caption: Getting Started Guide

   installation
   quickstart
   first_analysis

What You'll Learn
-----------------

* How to install CAIS in different environments (pip, conda, Docker)
* Setting up API keys and configuration
* Your first causal analysis in under 10 minutes
* Understanding CAIS output and interpretation
* Validating and troubleshooting your analyses
* Best practices for causal inference with CAIS

Prerequisites
-------------

* Basic Python knowledge
* Familiarity with pandas DataFrames
* Understanding of your research question and data structure

Next Steps
----------

After completing the getting started guide, explore:

* :doc:`../user_guide/index` - Detailed usage patterns and configuration
* :doc:`../tutorials/index` - Hands-on tutorials with real datasets
* :doc:`../methods/index` - Understanding different causal inference methods