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