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中級

完成時間大約為21 小時

建議:10 hours/week...

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立即開始,按照自己的計劃學習。

可靈活調整截止日期

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中級

完成時間大約為21 小時

建議:10 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 1 小時

Course Overview and Data Setup

In this module you learn about the course and the data you analyze in this course. Then you set up the data you need to do the practices in the course.

...
2 個視頻 (總計 13 分鐘), 5 個閱讀材料
2 個視頻
Demo: Exploring Ames Housing Data10分鐘
5 個閱讀材料
Learner Prerequisites10分鐘
Choosing and Setting Up SAS Software for this Course10分鐘
Follow These Instructions to Set Up Data for This Course (REQUIRED)30分鐘
Completing Demos and Practices10分鐘
Using Forums and Getting Help10分鐘
完成時間為 3 小時

Introduction and Review of Concepts

In this module you learn about the models required to analyze different types of data and the difference between explanatory vs predictive modeling. Then you review fundamental statistical concepts, such as the sampling distribution of a mean, hypothesis testing, p-values, and confidence intervals. After reviewing these concepts, you apply one-sample and two-sample t tests to data to confirm or reject preconceived hypotheses.

...
17 個視頻 (總計 41 分鐘), 2 個閱讀材料, 9 個測驗
17 個視頻
Overview1分鐘
Statistical Modeling: Types of Variables1分鐘
Overview of Models3分鐘
Explanatory versus Predictive Modeling1分鐘
Population Parameters and Sample Statistics1分鐘
Normal (Gaussian) Distribution2分鐘
Standard Error of the Mean51
Confidence Intervals2分鐘
Statistical Hypothesis Test4分鐘
p-Value: Effect Size and Sample Size Influence3分鐘
Scenario48
Performing a t Test4分鐘
Demo: Performing a One-Sample t Test Using PROC TTEST3分鐘
Scenario1分鐘
Assumptions for the Two-Sample t Test2分鐘
Testing for Equal and Unequal Variances2分鐘
Demo: Performing a Two-Sample t Test Using PROC TTEST4分鐘
2 個閱讀材料
Parameters and Statistics10分鐘
Normal Distribution10分鐘
9 個練習
Question 1.015分鐘
Question 1.025分鐘
Question 1.035分鐘
Question 1.045分鐘
Question 1.055分鐘
Practice - Using PROC TTEST to Perform a One-Sample t Test20分鐘
Question 1.065分鐘
Practice - Using PROC TTEST to Compare Groups20分鐘
Introduction and Review of Concepts30分鐘
2
完成時間為 4 小時

ANOVA and Regression

In this module you learn to use graphical tools that can help determine which predictors are likely or unlikely to be useful. Then you learn to augment these graphical explorations with correlation analyses that describe linear relationships between potential predictors and our response variable. After you determine potential predictors, tools like ANOVA and regression help you assess the quality of the relationship between the response and predictors.

...
29 個視頻 (總計 70 分鐘), 2 個閱讀材料, 14 個測驗
29 個視頻
Overview1分鐘
Scenario58
Identifying Associations in ANOVA with Box Plots1分鐘
Demo: Exploring Associations Using PROC SGPLOT1分鐘
Identifying Associations in Linear Regression with Scatter Plots1分鐘
Demo: Exploring Associations Using PROC SGSCATTER2分鐘
Scenario56
The ANOVA Hypothesis1分鐘
Partitioning Variability in ANOVA2分鐘
Coefficient of Determination1分鐘
F Statistic and Critical Values1分鐘
The ANOVA Model2分鐘
Demo: Performing a One-Way ANOVA Using PROC GLM6分鐘
Scenario49
Multiple Comparison Methods2分鐘
Tukey's and Dunnett's Multiple Comparison Methods1分鐘
Diffograms and Control Plots1分鐘
Demo: Performing a Post Hoc Pairwise Comparison Using PROC GLM6分鐘
Scenario53
Using Correlation to Measure Relationships between Continuous Variables1分鐘
Hypothesis Testing for a Correlation1分鐘
Avoiding Common Errors When Interpreting Correlations5分鐘
Demo: Producing Correlation Statistics and Scatter Plots Using PROC CORR6分鐘
Scenario45
The Simple Linear Regression Model1分鐘
How SAS Performs Simple Linear Regression1分鐘
Comparing the Regression Model to a Baseline Model2分鐘
Hypothesis Testing and Assumptions for Linear Regression1分鐘
Demo: Performing Simple Linear Regression Using PROC REG7分鐘
2 個閱讀材料
What Does a CLASS Statement Do?10分鐘
Correlation Analysis and Model Building10分鐘
14 個練習
Question 2.015分鐘
Question 2.025分鐘
Question 2.035分鐘
Question 2.045分鐘
Practice - Performing a One-Way ANOVA20分鐘
Question 2.055分鐘
Question 2.065分鐘
Practice - Using PROC GLM to Perform Post Hoc Parwise Comparisons20分鐘
Question 2.075分鐘
Question 2.085分鐘
Practice - Describing the Relationship between Continuous Variables20分鐘
Question 2.095分鐘
Practice - Using PROC REG to Fit a Simple Linear Regression Model20分鐘
ANOVA and Regression30分鐘
3
完成時間為 2 小時

More Complex Linear Models

In this module you expand the one-way ANOVA model to a two-factor analysis of variance and then extend simple linear regression to multiple regression with two predictors. After you understand the concepts of two-way ANOVA and multiple linear regression with two predictors, you'll have the skills to fit and interpret models with many variables.

...
13 個視頻 (總計 43 分鐘), 1 個閱讀材料, 5 個測驗
13 個視頻
Overview1分鐘
Scenario1分鐘
Applying the Two-Way ANOVA Model3分鐘
Demo: Performing a Two-Way ANOVA Using PROC GLM7分鐘
Interactions3分鐘
Demo: Performing a Two-Way ANOVA With an Interaction Using PROC GLM5分鐘
Demo: Performing Post-Processing Analysis Using PROC PLM4分鐘
Scenario44
The Multiple Linear Regression Model2分鐘
Hypothesis Testing for Multiple Regression1分鐘
Multiple Linear Regression versus Simple Linear Regression2分鐘
Adjusted R-Square1分鐘
Demo: Fitting a Multiple Linear Regression Model Using PROC REG7分鐘
1 個閱讀材料
The STORE Statement10分鐘
5 個練習
Question 3.015分鐘
Practice - Performing a Two-Way ANOVA Using PROC GLM20分鐘
Question 3.025分鐘
Practice - Performing Multiple Regression Using PROC REG20分鐘
More Complex Linear Models30分鐘
完成時間為 2 小時

Model Building and Effect Selection

In this module you explore several tools for model selection. These tools help limit the number of candidate models so that you can choose an appropriate model that's based on your expertise and research priorities.

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11 個視頻 (總計 28 分鐘), 3 個閱讀材料, 4 個測驗
11 個視頻
Scenario1分鐘
Approaches to Selecting Models2分鐘
The All-Possible Regressions Approach to Model Building1分鐘
The Stepwise Selection Approach to Model Building3分鐘
Interpreting p-Values and Parameter Estimates2分鐘
Demo: Performing Stepwise Regression Using PROC GLMSELECT7分鐘
Scenario37
Information Criteria2分鐘
Adjusted R-Square and Mallows' Cp56
Demo: Performing Model Selection Using PROC GLMSELECT5分鐘
3 個閱讀材料
Activity - Optional Stepwise Selection Method Code10分鐘
Information Criteria Penalty Components10分鐘
All-Possible Selection
4 個練習
Question 4.015分鐘
Practice - Using PROC GLMSELECT to Perform Stepwise Selection20分鐘
Practice - Using PROC GLMSELECT to Perform Other Model Selection Techniques20分鐘
Model Building and Effect Selection20分鐘
4
完成時間為 3 小時

Model Post-Fitting for Inference

In this module you learn to verify the assumptions of the model and diagnose problems that you encounter in linear regression. You learn to examine residuals, identify outliers that are numerically distant from the bulk of the data, and identify influential observations that unduly affect the regression model. Finally, you learn to diagnose collinearity to avoid inflated standard errors and parameter instability in the model.

...
18 個視頻 (總計 46 分鐘), 7 個測驗
18 個視頻
Overview1分鐘
Scenario40
Assumptions for Regression2分鐘
Verifying Assumptions Using Residual Plots3分鐘
Demo: Examining Residual Plots Using PROC REG5分鐘
Scenario47
Identifying Influential Observations1分鐘
Checking for Outliers with STUDENT Residuals1分鐘
Checking for Influential Observations2分鐘
Detecting Influential Observations with DFBETAS1分鐘
Demo: Looking for Influential Observations Using PROC GLMSELECT and PROC REG5分鐘
Demo: Examining the Influential Observations Using PROC PRINT6分鐘
Handling Influential Observations1分鐘
Scenario38
Exploring Collinearity1分鐘
Visualizing Collinearity2分鐘
Demo: Calculating Collinearity Diagnostics Using PROC REG5分鐘
Using an Effective Modeling Cycle1分鐘
7 個練習
Practice: Using PROC REG to Examine Residuals20分鐘
Question 5.015分鐘
Practice: Using PROC REG to Generate Potential Outliers20分鐘
Question 5.025分鐘
Question 5.035分鐘
Practice: Using PROC REG to Assess Collinearity20分鐘
Model Post-Fitting for Inference30分鐘
完成時間為 2 小時

Model Building for Scoring and Prediction

In this module you learn how to transition from inferential statistics to predictive modeling. Instead of using p-values, you learn about assessing models using honest assessment. After you choose the best performing model, you learn about ways to deploy the model to predict new data.

...
11 個視頻 (總計 27 分鐘), 1 個閱讀材料, 4 個測驗
11 個視頻
Overview1分鐘
Scenario27
Predictive Modeling Terminology1分鐘
Model Complexity51
Building a Predictive Model2分鐘
Model Assessment and Selection1分鐘
Demo: Building a Predictive Model Using PROC GLMSELECT10分鐘
Scenario29
Preparing for Scoring1分鐘
Methods of Scoring1分鐘
Demo: Scoring Data Using PROC PLM4分鐘
1 個閱讀材料
Partitioning a Data Set Using PROC GLMSELECT10分鐘
4 個練習
Question 6.015分鐘
Practice: Building a Predictive Model Using PROC GLMSELECT20分鐘
Practice: Scoring Using the SCORE Statement in PROC GLMSELECT20分鐘
Model Building for Scoring and Prediction30分鐘

講師

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Jordan Bakerman

Analytical Training Consultant
Education

關於 SAS

Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change....

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