> ## Documentation Index
> Fetch the complete documentation index at: https://docs.siftstack.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Learning path

> Begin your Sift journey and grow your confidence with step-by-step tutorials

export const SiftIcon = ({className}) => <span className={`inline-flex items-center align-middle text-black dark:text-white ${className || ''}`}>
    <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" id="Artwork" x="0px" y="0px" viewBox="0 0 1005.58 733.96" style={{
  enableBackground: "new 0 0 1005.58 733.96",
  width: "2em",
  height: "2em"
}} xmlSpace="preserve">
      <path fill="currentColor" d="M552.16,150.89c-165.6,0-180.29,160.61-300.62,192.32v2.67h601.24v-2.67C747.74,324.18,717.72,150.89,552.16,150.89z   M453.46,583.08c165.6,0,180.29-160.61,300.62-192.32v-2.67H152.84v2.67C257.88,409.78,287.91,583.08,453.46,583.08z" />
    </svg>
  </span>;

<div>
  <button type="button" className="px-5 flex items-center font-medium text-sm rounded-full py-2 shadow-sm text-white dark:text-white bg-primary-dark dark:bg-primary-dark hover:opacity-90 hover:bg-primary justify-center">
    <a href="/learning-path/tutorial-1/overview" className="flex items-center text-white">
      Start

      <svg
        className="size-3 ml-2 bg-white dark:bg-white"
        style={{
    maskImage: 'url("https://mintlify.b-cdn.net/solid/arrow-right-long.svg")',
    maskRepeat: 'no-repeat',
    maskPosition: 'center center',
  }}
      />
    </a>
  </button>
</div>

***

## Overview

This Learning Path is a guided, sequential experience designed to help you learn how to work effectively in Sift. It walks you through a series of tutorials, each with step-by-step instructions that build on one another.

* The path begins by teaching you how to ingest your data into Sift
* Next, it covers different ways to analyze your data
* Then, you'll learn how to review results and investigate what matters
* Next, you'll learn how to transform and refine your data
* And finally, how to organize and manage your workspace

**Previous learning path**: The previous learning path can be found [here](../old-learning-path/tutorial-1/overview).
