Statistical Analysis with Wolfram Language
1h 39mIntermediate2024-01-02
Authors

Wolfram Research
Course details
Analyze your data using a framework of model fitting and statistical analysis built into the Wolfram Language. Whether it is basic descriptive and exploratory statistics or advanced modeling with statistical distributions, you can follow this video course to gain an understanding of the statistical functionality available in the Wolfram Language. Topics covered include descriptive measures, transformations, basic clustering, statistical distributions, parameter estimation and hypothesis testing. Advanced topics on using optimization functions, linear algebra functions, analysis of variance (ANOVA) and generalized logit and probit linear models are also explored.
Skills covered
Wolfram LanguageWolfram ResearchComputational DesignStatisticsAECProduct and ManufacturingData ScienceOne-Off
Concepts
1. Descriptive and Exploratory Statistics
- 01 - Descriptive and exploratory statistics
2. Statistical Distribution
- 02 - Statistical distribution
3. Hypothesis Testing
- 03 - Hypothesis testing
4. Model Fitting and Analysis
- 04 - Model fitting and analysis
5. Modeling with Statistical Distributions
- 05 - Modeling with statistical distributions
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