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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课程信息
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第 1 门课程（共 3 门）
中级
完成时间大约为10 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）
您将获得的技能
- Multivariate Time Series Analysis
- Multivariate Analysis
- Multivariate Statistics
- Predictive Modelling
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。
第 1 门课程（共 3 门）
中级
完成时间大约为10 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）, 5 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
审阅
来自INTRODUCTION TO STATISTICAL ANALYSIS: HYPOTHESIS TESTING的热门评论
由 TM 提供Jun 28, 2021
Thoroughly enjoyed this course. In depth explanation of hypothesis testing, ANOVA and Regression, explained very clearly using SAS.
由 KK 提供Jan 23, 2021
If only... 1) SAS programming basics\n\n2) Not uninterest in Statistics\n\n... then only.
由 MP 提供Aug 15, 2021
the courses content are straight to the point where it's matter and where I should focus on
由 RM 提供Jun 14, 2021
Thank you so much to the instructor, Jordan Bakerman for teaching this course.
关于 SAS 统计业务分析师 专业证书
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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