Introduction to Data Science

Capture: Data Acquisition Data Entry Signal Reception Data Extraction. This stage involves gathering raw structured and unstructured data.Maintain: Data Warehousing Data Cleansing Data Staging Data Processing Data Architecture. This stage covers taking the raw data and putting it in a form that can be used.Process: Data Mining Clustering/Classification Data Modeling Data Summarization. Data scientists take the prepared data and examine its patterns ranges and biases to determine how useful it will be in predictive analysis.Analyze: Exploratory/Confirmatory Predictive Analysis Regression Text Mining Qualitative Analysis. Here is the real meat of the lifecycle. This stage involves performing the various analyses on the data.Communicate: Data Reporting Data Visualization Business Intelligence Decision Making. In this final step analysts prepare the analyses in easily readable forms such as charts graphs and reports.