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.
提供方
Statistics with SAS
SAS课程信息
30,621 次近期查看
可灵活调整截止日期
根据您的日程表重置截止日期。
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100% 在线
立即开始，按照自己的计划学习。
中级
完成时间大约为20 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
中级
完成时间大约为20 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（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.
授课大纲 - 您将从这门课程中学到什么
完成时间为 1 小时
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.
完成时间为 1 小时
2 个视频 （总计 13 分钟）, 4 个阅读材料
完成时间为 3 小时
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.
完成时间为 3 小时
17 个视频 （总计 41 分钟）, 2 个阅读材料, 9 个测验
完成时间为 4 小时
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.
完成时间为 4 小时
29 个视频 （总计 70 分钟）, 2 个阅读材料, 14 个测验
完成时间为 2 小时
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.
完成时间为 2 小时
13 个视频 （总计 43 分钟）, 1 个阅读材料, 5 个测验
完成时间为 2 小时
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.
完成时间为 2 小时
11 个视频 （总计 28 分钟）, 3 个阅读材料, 4 个测验
完成时间为 3 小时
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.
完成时间为 3 小时
18 个视频 （总计 46 分钟）
完成时间为 2 小时
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.
完成时间为 2 小时
11 个视频 （总计 27 分钟）, 1 个阅读材料, 4 个测验
审阅
来自STATISTICS WITH SAS的热门评论
由 CK 提供Mar 18, 2021
The theoretical parts on introductory statistical analysis (in shorts tests, anova, regression) are well covered. The technical parts i.e coding applications complement the theoretical parts 100%.
由 MS 提供Sep 4, 2019
The best course for statistics I've ever seen. I've learned statistics here not in university. Big like to all those people provide this valuable course for us. Thanks a million.
由 HH 提供Jul 12, 2021
He knows statistical concepts very well and is able to explain in a clear and concise manner. Better than other top school classes filled up with jargons and group homework.
由 CA 提供May 22, 2020
A Guided lesson even for a beginner. It gives you a general overview of statistics with great emphasis on SAS programming and statistical interpretations of your analyses.
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