Big data analytics solves large scale business problems using real time as well as batch processing of large amounts of data helping to discover hidden patterns, unknown correlations, market trends and customer preferences so as to enable you to make informed business decisions.
Predictive Analytics is a branch of advanced data analytics that involves the use of various techniques such as machine learning, statistical algorithms and other data mining techniques to forecast future events based on historical data.
Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks
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Data science enables the use of theoretical, mathematical, computational and other practical methods to study and evaluate data. The key objective is to extract required or valuable information that may be used for multiple purposes, such as decision making, product development, trend analysis and forecasting. A data scientist is an individual that practices data science. Data science techniques include data mining, big data analysis, data extraction and data retrieval. Moreover, data science concepts and processes are derived from data engineering, statistics, programming, social engineering, data warehousing, machine learning and natural language processing, among others.