(15) Explain the types of data analytic applications.

Answer: Following are some of the types of data analytics:

Types	Details
EDA & CDA	·         At upper level, data analytics methodologies include EDA (Exploratory Data Analysis­) & CDA (Confirmatory Data Analysis). ·          EDA aims to find patterns and relationships in data and CDA applies in statistical techniques to determine whether hypotheses about a data pattern are true or false. ·         EDA is often compared to detective work, while CDA is similar to the work of a judge or jury during a court trial.
Qualitative & Quantitative	·         Data Analytics can also be bifurcated as quantitative data analysis and qualitative data analysis. ·         Quantitative Analysis includes numerical data that can be compared or measured statistically. ·         Other approach i.e. qualitative approach is more interpretive. It deals with non-numerical data like text, images, audio and video.
Business Intelligence (BI)	·         Business Intelligence (BI) and reporting provide information about key performance indicators, business operations, customers and more. ·         Earlier, data queries and reports were created for end users by BI developers however now self-service BI tools are available that let executive level employees  design their own ad hoc queries and build reports themselves.
Data Mining	·         Data mining involves analysis and sorting of large data sets to identify trends, patterns and relationships.
Predictive Analytics	·         Predictive analytics aims to predict customer behaviour, equipment failures and other future events.
Machine Learning	·         Machine learning is an artificial intelligence technique that uses automated algorithms to analyse the data sets more quickly than data scientists can do via conventional analytical modelling.
Big Data Analytics	·         Big data analytics applies data mining, predictive analytics and machine learning tools to sets of big data that often contain unstructured and semi-structured data.
Text Mining	·         Text mining supports analyzing documents, emails and other text-based content.