Course Description
Data analytics is commonly described as a process of examining data sets to draw conclusions on the basis of information available in them with the help of various software or specialized systems. Data analytics has become a very crucial part of commercial industries over the last few years as it enables a more-informed business decisions based on scientific data and research.
Data analytics tools help scientists and researchers in verifying or reject scientific models, theories and hypotheses, thereby helping the company improve operational efficiency and customer service, gain competitive edge and increase revenues. Data Analytics tools use historical data or the data being processed in real time.
Data analytics methodologies include exploratory data analysis (EDA) and confirmatory data analysis (CDA). The former aims to find patterns and relationships in the given data; the latter examines whether hypotheses about a data set are true or false.