Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models. Data Science enables industries to efficiently understand gigantic data from multiple sources and derive valuable insights to make smarter data-driven decisions. Data Science is widely used in various industry domains, including marketing, healthcare, finance, banking, policy work, and more. Data is meaningless until its conversion into valuable information. Data Science involves mining large datasets containing structured and unstructured data and identifying hidden patterns to extract actionable insights. The interdisciplinary field of Data Science encompasses Computer Science, Statistics, Inference, Machine Learning algorithms, Predictive Analysis, and new technologies. The curriculum covers data visualization, Data mining, statistics, Scripting Languages, Web programming, Machine Learning, Artificial Intelligence, Big data Analytics, Business Intelligence, Neural networks, Deep Learning, Mathematical modelling for Data Science, Block Chain Technology, Programming in Java, Python, R, Hadoop and Spark.
