SAS Statistical Business Analyst 专业证书

Distinguish Yourself as a Modeler. You will acquire SAS statistics, modeling, and programming skills including ANOVA, regression, logistic regression, business applications of modeling, and challenges of modeling.

位教师：Marc Huber

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3 门课程系列

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来自此计划中课程的 228 条评论

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4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

3 门课程系列

获得职业证书，展示您的专业知识

来自此计划中课程的 228 条评论

中级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Perform ANOVA, Regression, and logistic regression analysis with one or many inputs
Prepare inputs for predictive models
Train, validate, and evaluate statistical models

您将获得的技能

要了解的详细信息

可分享的证书

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行业认证

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

借助热门技能来开拓您的职业生涯

接受 SAS 的专业级培训
展现您对技术的精通程度
通过 SAS 获得雇主认可的证书
备考行业认证考试

专业认证 - 3门课程系列

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.

应用的学习项目

There are numerous hands-on practices integrated throughout the three courses of the program. Data examples are general enough to be applicable to a broad range of subject areas. Specific examples you will see in the courses address agriculture, manufacturing, health care, banking, retail, and nonprofit.

Introduction to Statistical Analysis: Hypothesis Testing

第 1 门课程 10小时

您将学到什么

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.

您将获得的技能

类别：Statistical Hypothesis Testing

类别：Correlation Analysis

类别：Regression Analysis

类别：Probability & Statistics

类别：Statistical Analysis

类别：Statistical Inference

类别：Plot (Graphics)

类别：Statistical Modeling

类别：Statistical Methods

类别：SAS (Software)

Regression Modeling Fundamentals

第 2 门课程 12小时

您将学到什么

您将获得的技能

类别：Model Evaluation

类别：SAS (Software)

类别：Regression Analysis

类别：Statistical Modeling

类别：Predictive Modeling

类别：Logistic Regression

类别：Statistical Analysis

类别：Model Deployment

类别：Statistical Methods

类别：Data Preprocessing

类别：Data Analysis

类别：Probability & Statistics

Predictive Modeling with Logistic Regression using SAS

第 3 门课程 17小时

您将学到什么

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets. You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. You also learn to assess model performance and compare models.