曙海教學優勢
本課程，秉承二十一年積累的教學品質，以項目實現為導向,面向企事業項目實際需要,老師將會與您分享設計的全流程以及工具的綜合使用經驗、技巧。課程可定制,線上/線下/上門皆可,熱線:4008699035。
曙海培訓的課程培養了大批受企業歡迎的工程師。大批企業和曙海
建立了良好的合作關系,合作企業30萬+。曙海培訓的課程在業內有著響亮的知名度。
?此課程提供使用MATLAB和Statistics Toolbox?執行統計數據分析的實踐經驗。課程中的示例和練習演示如何在整個分析過程中使用適當的產品功能，從導入和組織數據，到探索性分析，驗證性分析和仿真。內容包括：
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Importing and Organizing Data |
Objective:?Bring data into MATLAB and organize it for analysis. Perform common tasks, such as merging data and dealing with missing data. ·?Importing data ·?Data types ·?Tables of data ·?Merging data ·?Categorical data ·?Missing data |
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Exploring Data |
Objective:?Perform basic statistical investigation of a data set, including visualization and calculation of summary statistics. ·?Plotting ·?Central tendency ·?Spread ·?Shape ·?Correlations ·?Grouped data |
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Distributions |
Objective:?Investigate different probability distributions and fit distributions to a data set. ·?Probability distributions ·?Distribution parameters ·?Comparing and fitting distributions ·?Nonparametric fitting |
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Hypothesis Tests |
Objective:?Determine how likely an assertion about a data set is. Apply hypothesis tests for common uses, such as comparing two distributions and determining confidence intervals for a sample mean. ·?Hypothesis tests ·?Tests for normal distributions ·?Tests for nonnormal distributions |
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Analysis of Variance |
Objective:?Compare the sample means of multiple groups and find statistically significant differences between groups. ·?Multiple comparisons ·?One-way ANOVA ·?N-way ANOVA ·?MANOVA ·?Nonnormal ANOVA ·?Categorical correlations |
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Regression |
Objective:?Perform predictive modeling by fitting linear and nonlinear models to a data set. Explore techniques for improving model quality. ·?Linear regression models ·?Fitting linear models to data ·?Evaluating the fit ·?Adjusting the model ·?Logistic and generalized linear regression ·?Nonlinear regression |
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Working with Multiple Dimensions |
Objective:?Simplify high-dimensional data sets by reducing the dimensionality. ·?Feature transformation ·?Feature selection |
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Random Numbers and Simulation |
Objective:?Use random numbers to evaluate the uncertainty or sensitivity of a model, or perform simulations. Generate random numbers from various distributions, and manage the MATLAB random number generation algorithms. ·?Bootstrapping and simulation ·?Generating numbers from standard distributions ·?Generating numbers from arbitrary distributions ·?Controlling the random number stream |
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