Data Science and Analysis
Description
Data science is a concept used to tackle big data and includes data cleansing, preparation, and analysis. A data scientist gathers and prepare data sets from multiple sources and applies machine learning, predictive analytics, and sentiment analysis to extract critical information from the collected data sets. They understand data from a business point of view and can provide accurate predictions and insights that can be used to power critical business decisions.
Functionality
Data scienceis is a deep study of the massive amount of data which involves extracting meaningful insights from raw, structured and unstructured data to help shape or meet specific business needs and goals. The data science has become increasingly important as businesses rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies.
Implementations
Surflex has done following project relating to data science and analytics.