Statistica Basic Academic Bundle is good enough for a statistics or business intelligence class. A list of the analytics is below. Statistica integrates with R and Python. If the customer purchases English they will also be able to use C# scripting. Statistica includes data cleaning options and scientific graphs.

• ANOVA

• Basic Statistics

• Box-Cox

• Canonical Correlation Analysis

• Classification Trees

• Cluster Analysis Techniques

• Correlations

• Correspondence Analysis

• Cox Proportional Hazard Model

• Descriptive Statistics, Breakdowns, and Exploratory Data Analysis

• Discriminant Analysis

• Distribution and Simulation

• Distribution Fitting

• Factor Analysis

• Frequency Tables, Crosstabulation Tables, Stub-and-Banner Tables, Multiple Response Analysis

• General Discriminant Analysis Models (GDA)

• General Linear Models (GLM)

• General Nonlinear Estimation (and Quick Logit/Probit Regression)

• General Partial Least Squares Models(PLS)

• General Regression Models (GRM)

• Generalized Linear Models (GLZ)

• Interactive Probability Calculator

• Log-Linear Analysis of Frequency Tables

• Multidimensional Scaling

• Multiple Regression Methods

• Multivariate Exploratory Techniques

• Nonparametric Statistics

• Power Analysis and Interval Estimate

• Principal Components & Classification Analysis

• Reliability/Item Analysis

• Structural Equation Modeling/Path Analysis (SEPATH)

• Survival/Failure Time Analysis

• Time Series Analysis/Forecasting

• T-Tests

• Variance Components and Mixed Model ANOVA/ANCOVA

Statistica Ultimate Academic Bundle includes most of our analytics and can be used for data mining/text mining/predictive analytics/industrial statistic classes. It includes all the analytics in Basic Academic Bundle, above, plus all of the following:

• Association Rules

• Automated Neural Networks

• Boosted Trees

• Data Miner Recipes

• Deep Learning

• Feature Selection and Variable Filtering (predictor selecting)

• General CHAID (Chi-square Automatic Interaction Detection) Models

• General Classification and Regression Trees (GTrees)

• Generalized Additive Models (GAM)

• Generalized EM & k-Means Cluster Analysis

• Goodness of Fit Computations

• Interactive Classification and Regression Trees

• Interactive Drill-Down Explorer

• K-Nearest Neighbors

• Lasso Regression (predictor selection)

• Multivariate Adaptive Regression Splines (MARSplines)

• Random Forest

• Rapid Deployment of Predictive Models (only PMML code is available for the Ultimate Academic Bundle)

• Support Vector Machines (SVM)

• Design of Experiment

• Extract, Transform, and Load (ETL)

• Industrial Statistics (Quality Control)

• Multivariate Statistical Process Control

• Process Analysis

• Process Capability Analysis

• Reporting Tables

• Rules Builder

• Sequence and Link Analysis

• Text Miner Variance Estimation and Precision

• Weight Of Evidence (predictor selection and binning)