Wolfram Computation Meets Knowledge

Instructor-Led Course

Stochastic Processes and Time Series Analysis

Level: Intermediate

This course provides experience with stochastic modeling and time series analysis tools available in the Wolfram Language. Topics include random processes, Markov models, time series analysis and model fitting. Course topics are presented in sessions of lectures, exercises and instructor-led coding sessions with real-world examples. Online classes have small class sizes and ample opportunity for Q&A. The course is for those who have a basic working knowledge of the Wolfram Language and statistical data analysis.

Featured Products & Technologies: Wolfram Language, Mathematica

DateTimeLanguage Location Cost  
This course is not currently scheduled.
View all scheduled courses and events. »


  • Random Processes
    Simulation, properties, classification, estimation and applications of parametric and derived stochastic processes.
  • Markov Processes
    Simulation, properties, estimation and applications of continuous, discrete and hidden Markov models.
  • Time Series Processing
    Time series construction, dealing with missing data and irregularity, operations on time series.
  • Time Series Modeling
    Various time series models, fitting time series models, model selection, forecasting, prediction limits.