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

---
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