MOOC - Sustainability Manager
Data Science Fundamentals
Third Unit is dedicated to fundamentals of data science which are used in predictive maintenance.
Advanced Statistics:
This learning element introduce advanced mathematic statistic into Sustainability Management.
SUMAN.U3.E4.PC1
The student knows how to calculate ”a posteriori” probability according to Bayes equation.
SUMAN.U3.E4.PC2
The student can explain the difference between prior and posterior probability.
SUMAN.U3.E4.PC3
The student can calculate function of priori and posterior data distribution for Bayesian prediction.
SUMAN.U3.E4.PC4
The student is able to define some simple statistical model based on data from measurements.
SUMAN.U3.E4.PC5
The student understands model assumptions and can define which parameter they depend on.
SUMAN.U3.E4.PC6
The student is able to verify those assumptions and calculate estimated data distribution.
SUMAN.U3.E4.PC7
The student knows methods (f. e. Regression) to calculate and quantify relationship between Xs and Y for created model.
SUMAN.U3.E4.PC8
The student knows how to reduce sustainability models using Pareto method.
SUMAN.U3.E4.PC9
The student knows method of validation sustainability models using residual calculation and graphs.