freeCodeCamp/guide/english/data-science-tools/detail/index.md

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---
title: detail
---
## What is Data Science
Data Science is a multi-disciplinary field that combines skills in software engineering and statistics with domain experience to support the end-to-end analysis of large and diverse data sets, ultimately uncovering value for an organization and then communicating that value to stakeholders as actionable results.
## Data Scientist
Person who is better at statistics than any software engineer and better at software engineering than any statistician.
## What Skills Do You Need?
Mathematics - Calculus, Linear Algebra
Statistics - Hypothesis, Testing, Regression
Programming - SQL, R/Python
Machine Learning - Supervised and Unsupervised Learning, Model Fitting
Business/Product Intuition - Interpret and communicate results to non-technical audience
## Life Cycle
1 - Identify or Formulate Problem
2 - Data Preparation
3 - Data Exploration
4 - Transform and Select
5 - Build Model
6 - Validate Model
7 - Deploy Model
8 - Evalute or Monitor Results