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.
Este curso faz parte do Certificado Profissional Analista de negócios de estatísticas SAS
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Informações sobre o curso
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 1 de 3 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 10 horas para completar
Inglês
Legendas: Francês, Português (Brasil), Russo, Inglês, Espanhol
Habilidades que você terá
Multivariate Time Series AnalysisMultivariate AnalysisMultivariate StatisticsPredictive Modelling
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 1 de 3 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 10 horas para completar
Inglês
Legendas: Francês, Português (Brasil), Russo, Inglês, Espanhol
oferecido por
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.
Programa - O que você aprenderá com este curso
1 hora para concluir
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.
1 hora para concluir
2 vídeos (Total 13 mín.), 5 leituras
5 leituras
Learner Prerequisites1min
Access SAS Software for this Course10min
Follow These Instructions to Set Up Data for This Course (REQUIRED)30min
Completing Demos and Practices10min
Using Forums and Getting Help1min
3 horas para concluir
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.
3 horas para concluir
17 vídeos (Total 41 mín.), 2 leituras, 9 testes
17 videos
Overview1min
Statistical Modeling: Types of Variables1min
Overview of Models3min
Explanatory versus Predictive Modeling1min
Population Parameters and Sample Statistics1min
Normal (Gaussian) Distribution2min
Standard Error of the Mean51s
Confidence Intervals2min
Statistical Hypothesis Test4min
p-Value: Effect Size and Sample Size Influence3min
Scenario48s
Performing a t Test4min
Demo: Performing a One-Sample t Test Using PROC TTEST3min
Scenario1min
Assumptions for the Two-Sample t Test2min
Testing for Equal and Unequal Variances2min
Demo: Performing a Two-Sample t Test Using PROC TTEST4min
2 leituras
Parameters and Statistics10min
Normal Distribution10min
9 exercícios práticos
Question 1.015min
Question 1.025min
Question 1.035min
Question 1.045min
Question 1.055min
Practice - Using PROC TTEST to Perform a One-Sample t Test20min
Question 1.065min
Practice - Using PROC TTEST to Compare Groups20min
Introduction and Review of Concepts30min
4 horas para concluir
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.
4 horas para concluir
29 vídeos (Total 70 mín.), 2 leituras, 14 testes
29 videos
Overview1min
Scenario58s
Identifying Associations in ANOVA with Box Plots1min
Demo: Exploring Associations Using PROC SGPLOT1min
Identifying Associations in Linear Regression with Scatter Plots1min
Demo: Exploring Associations Using PROC SGSCATTER2min
Scenario56s
The ANOVA Hypothesis1min
Partitioning Variability in ANOVA2min
Coefficient of Determination1min
F Statistic and Critical Values1min
The ANOVA Model2min
Demo: Performing a One-Way ANOVA Using PROC GLM6min
Scenario49s
Multiple Comparison Methods2min
Tukey's and Dunnett's Multiple Comparison Methods1min
Diffograms and Control Plots1min
Demo: Performing a Post Hoc Pairwise Comparison Using PROC GLM6min
Scenario53s
Using Correlation to Measure Relationships between Continuous Variables1min
Hypothesis Testing for a Correlation1min
Avoiding Common Errors When Interpreting Correlations5min
Demo: Producing Correlation Statistics and Scatter Plots Using PROC CORR6min
Scenario45s
The Simple Linear Regression Model1min
How SAS Performs Simple Linear Regression1min
Comparing the Regression Model to a Baseline Model2min
Hypothesis Testing and Assumptions for Linear Regression1min
Demo: Performing Simple Linear Regression Using PROC REG7min
2 leituras
What Does a CLASS Statement Do?10min
Correlation Analysis and Model Building10min
14 exercícios práticos
Question 2.015min
Question 2.025min
Question 2.035min
Question 2.045min
Practice - Performing a One-Way ANOVA20min
Question 2.055min
Question 2.065min
Practice - Using PROC GLM to Perform Post Hoc Parwise Comparisons20min
Question 2.075min
Question 2.085min
Practice - Describing the Relationship between Continuous Variables20min
Question 2.095min
Practice - Using PROC REG to Fit a Simple Linear Regression Model20min
ANOVA and Regression30min
2 horas para concluir
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.
2 horas para concluir
13 vídeos (Total 43 mín.), 1 leitura, 5 testes
13 videos
Overview1min
Scenario1min
Applying the Two-Way ANOVA Model3min
Demo: Performing a Two-Way ANOVA Using PROC GLM7min
Interactions3min
Demo: Performing a Two-Way ANOVA With an Interaction Using PROC GLM5min
Demo: Performing Post-Processing Analysis Using PROC PLM4min
Scenario44s
The Multiple Linear Regression Model2min
Hypothesis Testing for Multiple Regression1min
Multiple Linear Regression versus Simple Linear Regression2min
Adjusted R-Square1min
Demo: Fitting a Multiple Linear Regression Model Using PROC REG7min
1 leituras
The STORE Statement10min
5 exercícios práticos
Question 3.015min
Practice - Performing a Two-Way ANOVA Using PROC GLM20min
Question 3.025min
Practice - Performing Multiple Regression Using PROC REG20min
More Complex Linear Models30min
Sobre Certificado Profissional Analista de negócios de estatísticas SAS
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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