1. 1 StatSim overview

   Learn how StatSim works and how to build a simple model using main building blocks (data block, random variable, expression and other)

2. 2 Deterministic models

   What is modeling, deterministic models, how to design effective models

3. 2.1 Models and Projects in StatSim

   Introduction to StatSim models

4. 2.2 Data

   How to load data into a model, edit it using a table view, use data as a model input, as a constant, show it in output and analyze results

5. 2.3 Expressions

   Make calculations with expression blocks, process arrays and tensors, conditional expressions, JavaScript.

6. 2.4 Iterations and accumulators

   Create models that change in time, accumulate values, track changes with time-series charts.

7. 3 Stochastic modeling

   How to deal with uncertainty, think in probabilities and work with random variables

8. 3.1 Random variables & Distributions

   Add random variables to your models, choose correct probability distribution, analyze random output.

9. 3.2 Function of Random Variables

   How to use a random variable in your model, function of random variables, accumulators, using random variable as a parameter

10. 3.3 Conditioning

    Conditional probability, conditional distributions, rejecting specific samples

11. 4.0 Bayesian inference

    Finding model parameters using Bayesian inference