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The Wolfram Language: Applied Statistical Analysis

This course provides experience with the statistical tools that are available in the Wolfram Language. Using real-world and simulated datasets, participants will import and analyze data, work with statistical distributions, and visualize results. Course topics are presented in sessions of lectures with small class size and ample opportunity for Q&A.

Level: Intermediate

The course is for those who have a basic working knowledge of the Wolfram Language and statistics. Basic knowledge of descriptive statistics, hypothesis testing, and regression is recommended.

Live
English
Jan 29
1 pm - 4:30 pm EST
Online $225.00 (USD)
Mar 31
1 pm - 4:30 pm EST
Online $225.00 (USD)

Outline

  • Getting and Organizing the Data
    A close look at importing various file formats such as csv, xls, and xlsx, with examples of cleaning up the data after import. Exporting data.
  • Data Investigations
    Preliminary data analysis, including descriptive statistics, visualization, and fitting of data to underlying named and user-defined distributions.
  • Curve Fitting
    Linear and nonlinear model fitting, including spline smoothing of fitted curves. Comparison of models and various diagnostic tests are illustrated.
  • Advanced Fitting Techniques
    Generalized linear models and time series model fitting. Simulations using processes such as ARMA and ARIMA and comparing forecasts with observed data.