We’re here to help. Alors que nous faisons face au COVID-19 ensemble, notre engagement envers vous reste fort. Si vous souhaitez développer des compétences essentielles à votre carrière, nous vous invitons à suivre nos formations en ligne gratuites ou à vous inscrire à des cours en classe connectée. Suivez le cours avec un formateur SAS et des machines virtuelles pour pratiquer en temps réel, comme dans une salle de formation.



SAS/ETS

Titre Niveau Types de formation
Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models Business Knowledge Series
This course introduces some methods commonly used in program evaluation and real-world effectiveness studies, including two-stage modeling, interrupted time-series, regression discontinuity, and propensity score matching. These methods help address questions such as: Which medicine is more effective in the real world? Did an advertising program have an impact on sales? More generally, are the changes in outcomes causally related to the program being run?

3 Intermédaire e-Learning
Stationarity Testing and Other Time Series Topics Business Knowledge Series
This course addresses a basic question in time series modeling and forecasting: whether a time series is nonstationary. This question is addressed by the unit root tests. One of the most common tests, the Dickey-Fuller test, is discussed in this lecture.

3 Intermédaire Live Web Classroom e-Learning
Utiliser SAS® High Performance Forecasting

Cette formation vous enseigne comment faire des prévisions automatiquement et vous apprend à utiliser les procédures de SAS® High Performance Forecasting

3 Intermédaire Classroom
Time Series Modeling Essentials
The course covers the fundamentals of modeling time series data, and focuses on the applied use of the three main model types used to analyze univariate time series: Exponential Smoothing, Autoregressive Integrated Moving Average with Exogenous variables (ARIMAX), and Unobserved Components (UCM).

3 Intermédaire Classroom Live Web Classroom e-Learning
Analyse statistique - Niveau 2
Vous êtes statisticien et souhaitez approfondir vos connaissances en modélisation statistique sous SAS. A l'issue de cette formation, vous saurez mettre en oeuvre la méthodologie statistique, valider les hypothèses d'utilisation de différents modèles statistiques et donc choisir par ce biais le modèle adapté à votre question métier.

3 Intermédaire Classroom Live Web Classroom e-Learning
Forecasting Using SAS Software: A Programming Approach
This course teaches analysts how to use SAS/ETS software to diagnose systematic variation in data collected over time, create forecast models to capture the systematic variation, evaluate a given forecast model for goodness of fit and accuracy, and forecast future values using the model. Topics include Box-Jenkins ARIMA models, dynamic regression models, and exponential smoothing models.

4 Expert Live Web Classroom
State Space Modeling Essentials Using the SSM Procedure in SAS/ETS
This course covers the fundamentals of building and applying state space models using the SSM procedure (SAS/ETS). Students are presented with an overview of the model and learn advantages of the State Space approach. The course also describes fundamental model details, presents some straightforward examples of specifying and fitting models using the SSM procedure, and considers estimation in SSM, focusing on the Kalman filter and related details. The course concludes with a variety of SSM modeling applications, focused mainly on time series.

4 Expert Live Web Classroom