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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課程信息
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第 1 門課程（共 3 門）
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, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將獲得的技能
- Multivariate Time Series Analysis
- Multivariate Analysis
- Multivariate Statistics
- Predictive Modelling
可靈活調整截止日期
根據您的日程表重置截止日期。
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）
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, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 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.
授課大綱 - 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
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
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
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
審閱
- 5 stars81.81%
- 4 stars7.57%
- 3 stars1.51%
- 2 stars3.03%
- 1 star6.06%
來自INTRODUCTION TO STATISTICAL ANALYSIS: HYPOTHESIS TESTING的熱門評論
由 TM 提供2021年6月28日
Thoroughly enjoyed this course. In depth explanation of hypothesis testing, ANOVA and Regression, explained very clearly using SAS.
由 MP 提供2021年8月15日
the courses content are straight to the point where it's matter and where I should focus on
由 HF 提供2022年4月28日
Well Done Everything. Practices need to be clarified more because somebody know Statistics with less SAS and reversely some learners know SAS but less Statistics.
由 RM 提供2021年6月14日
Thank you so much to the instructor, Jordan Bakerman for teaching this course.
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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