Applied Data Science TED University

Overview

Being recognized at a great pace from the beginning of 2000s, the concept of data science, the aim of which is to extend the application range of statistics, has become one of the most needed professional branches of the century in recent years.

Data performs a duty of clarifying mechanisms which are not yet well understood or acting as an important instrument in trend analysis. 

Key Facts

Especially, together with the design of a powerful experiment, it is the basic factor in the emergence of relations and interactions between objects/concepts in social sciences; in the formation of an hypothesis by taking the shape of the results of experiments in natural sciences; in risk assessment, formation of foresight concerning the future, understanding the mechanisms in cause and effect relations by measuring the results appearing as a consequence of the followed up policies in industry/finance/marketing sectors.

The Applied Data Science programme from TED University aims to train practitioners and researchers who will be able to

• model, selecting of models and interpret outputs of statistical applications which are proper to the data,

• design experiments, construct data pipeline, and know how to analyze and visualize data obtained from automated systems,

• use software such as Python, R, Stata, which are subsidiary for mathematical and statistical problems,

•  individualize and adapt widespread data analysis methods that depend on the data and problem,

•  collect data from the existing sources and construct data bases (Mysql, etc.),

•  know parallel computing methods that enable processes on large data and use related software (spark, hadoop),

• do the all processes starting from data access and collection up to its analysis.