30 lines
		
	
	
		
			1005 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
			
		
		
	
	
			30 lines
		
	
	
		
			1005 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
| ---
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| title: detail
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| ---
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| ## What is Data Science
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| 
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| 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.
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| 
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| ## Data Scientist
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| Person who is better at statistics than any software engineer and better at software engineering than any statistician. 
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| 
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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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| 
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| ## Life Cycle
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| 
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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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