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.
Ce cours fait partie de la Nombre de Analyste statistique SAS d'entreprise Certificat Professionnel
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Compétences que vous acquerrez
- Multivariate Time Series Analysis
- Multivariate Analysis
- Multivariate Statistics
- Predictive Modelling
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 1 sur 3 dans le
Niveau intermédiaire
Approx. 10 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Offert par
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.
Programme de cours : ce que vous apprendrez dans ce cours
1 heure pour terminer
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 heure pour terminer
2 vidéos (Total 13 min), 5 lectures
3 heures pour terminer
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 heures pour terminer
17 vidéos (Total 41 min), 2 lectures, 9 quiz
4 heures pour terminer
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 heures pour terminer
29 vidéos (Total 70 min), 2 lectures, 14 quiz
2 heures pour terminer
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 heures pour terminer
13 vidéos (Total 43 min), 1 lecture, 5 quiz
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Meilleurs avis pour INTRODUCTION TO STATISTICAL ANALYSIS: HYPOTHESIS TESTING
par TM28 juin 2021
Thoroughly enjoyed this course. In depth explanation of hypothesis testing, ANOVA and Regression, explained very clearly using SAS.
par MP15 août 2021
the courses content are straight to the point where it's matter and where I should focus on
par RM14 juin 2021
Thank you so much to the instructor, Jordan Bakerman for teaching this course.
par HF28 avr. 2022
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.
À propos du Nombre de Analyste statistique SAS d'entreprise Certificat Professionnel
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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