This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
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第 1 門課程（共 3 門）
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中級
完成時間大約為10 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 中文（簡體）, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 土耳其語（Turkish）, 英語（English）, 西班牙語（Spanish）
您將獲得的技能
Multivariate Time Series AnalysisMultivariate AnalysisMultivariate StatisticsPredictive Modelling
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 3 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為10 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 中文（簡體）, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 土耳其語（Turkish）, 英語（English）, 西班牙語（Spanish）
提供方
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.
教學大綱 - 您將從這門課程中學到什麼
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.
完成時間為 1 小時
2 個視頻 （總計 13 分鐘）, 5 個閱讀材料
5 個閱讀材料
Learner Prerequisites1分鐘
Access 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 Help1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.
完成時間為 3 小時
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
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.
完成時間為 4 小時
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
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.
完成時間為 2 小時
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
關於 SAS 统计业务分析师 專業證書
This program is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes. If modeling data for business outcomes is relevant in your job role or industry, this certificate is a valuable indication of your proficiency.
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