Predictive ModellingSAS ProgrammingMultivariate Time Series AnalysisMultivariate AnalysisMultivariate StatisticsSurrogate ModelOversamplingLogistic Regressionregression
SAS 비즈니스 통계 분석가 전문 자격증
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.
제공자:
배울 내용
Perform ANOVA, Regression, and logistic regression analysis with one or many inputs
Prepare inputs for predictive models
Train, validate, and evaluate statistical models
귀하가 습득할 기술
이 전문 자격증 정보
최근 조회 10,974회
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.
응용 학습 프로젝트
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.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인 강좌
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 일정
유연한 마감을 설정하고 유지 관리합니다.
중급 단계
Prior SAS programming knowledge is required, which can be acquired by completing the SAS Programming specialization.
완료하는 데 약 3개월 필요
매주 3시간 권장
영어
자막: 영어, 프랑스어, 포르투갈어 (브라질), 러시아어, 스페인어
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인 강좌
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 일정
유연한 마감을 설정하고 유지 관리합니다.
중급 단계
Prior SAS programming knowledge is required, which can be acquired by completing the SAS Programming specialization.
완료하는 데 약 3개월 필요
매주 3시간 권장
영어
자막: 영어, 프랑스어, 포르투갈어 (브라질), 러시아어, 스페인어
이 전문 자격증에는 3개의 강좌가 있습니다.
Introduction to Statistical Analysis: Hypothesis Testing
5개의 평가
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.
Regression Modeling Fundamentals
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.
Predictive Modeling with Logistic Regression using SAS
6개의 평가
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.
제공자:
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.
자주 묻는 질문
전문 분야를 완료하면 대학 학점을 받을 수 있나요?
Can I just enroll in a single course?
하나의 강좌에만 등록할 수 있나요?
이 강좌는 100% 온라인으로 진행되나요? 직접 참석해야 하는 수업이 있나요?
전문 분야를 완료하는 데 얼마나 걸리나요?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Specialization?
전문 분야를 완료하면 대학 학점을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.
