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Data Science Sitemap

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Data science is the practice of discovering knowledge and information in data where knowledge has meaning to humans and information has meaning to machine processes. It is traditionally seen as an interdisciplinary field that includes areas such as statistics, algorithms, distributed computing, databases and machine learning. Data science also requires considerable domain expertise to understand the nature of data in an area such as marketing, financial markets or science. The following are common data science techniques and considerations.
Algorithms
Backtesting
Causality
Cohort
Cohort Analysis
Data Analysis
Data Collection
Data Dredging
Data Integration
Data Lineage
Data Massage
Data Mining
Data Profiling
Data Wrangling
Digitalization
Empiricism
Misuse of Statistics
Negative Correlation
Overfitting
Personal Data
Predictive Analytics
Probability Distribution
Quantification
Quartile
Regression Analysis
Statistical Analysis
Statistical Model
Statistical Population
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