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Data-Analytic Thinking - Coggle Diagram
Data-Analytic Thinking
Data Science
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Involves principles, processes, and techniques for understanding phenomena via the (automated) analysis of data
Needs to access to data and it often benefits from sophisticated data engineering that data processing technologies may facilitate, but these technologies are not data science technologies per se
Data Mining
Is the extraction of knowledge from data, via technologies that incorporate this principles
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Predictive Model
Abstracts away most of the complexity of the world, focusing in on a particular set of indicators that correlate in some way with quantity of interest
Big Data
Essentially means datasets that are too large for traditional data processing systems, and therefore require new processing technologies.
Fundamental Concepts
Extracting useful knowledge from data to solve business problems can be treated systematically by following a process with reasonably well-defined stages
From a large mass of data, information technology can be used to find informative descriptive attributes of entities of interest
If you look to hard at a set of data, you will find something but it might not generalize beyond the data you're looking at (overfitting)
Formulating data mining solutions and evaluating the results involves thinking carefully about the context in which they will be used
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