Program Outcomes

TEDU Applied Data Science Master’s Program Graduates will have 

1) knowlege of statistical concepts and methods, and especially new machine learning algorithms, which are partially new but have many applications,

2) modelling, selecting of models and interpret outputs of statistical applications which are proper to the data,

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

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

5) specialize and adapt widespread data analysis methods that depend on the data and problem,

6) collect data from the existing sources and construct databases (Mysql, etc.),

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