IMPORTANT: Il benessere, la salute e la sicurezza di tutti voi e di tutti noi rappresentano una priorità per SAS. A tutela di ciò e in ottemperanza a quanto previsto dalle misure stabilite dal Governo in termini di prevenzione della diffusione di COVID-19 e da direttiva della nostra casa madre, SAS Institute S.r.l., per tutto il primo semestre 2020 i corsi a calendario pubblico SAS Italia previsti presso tutte le sedi SAS (Milano, Roma, Venezia Mestre) vengono confermati nell’attuale pianificazione ma svolti in modalità Live WEB, ovvero con il docente, di lingua italiana, che svolge il corso in persona, collegato da remoto con video camera e live. Rimangono inalterati i contenuti, la durata, l’interazione docente / partecipanti, la struttura del corso e l'utilizzo dei laboratori virtuali SAS per esercitarsi e svolgere la parte pratica. Tutti gli esami di certificazione presso tutte le sedi SAS sono sospesi. Oltre alla modalità Live Web sono disponibili i corsi anche nella versione E-Learning. Per ulteriori informazioni Contattaci.


Titolo Livello Formato del corso
Applied Statistics for Engineers Business Knowledge Series
This course begins by familiarizing attendees with JMP, JMP data tables, analyses, and various utilities. Using JMP as a platform, the course continues with how to apply engineering and scientific approaches to problem solving, improvement initiatives, and design questions by focusing on descriptive statistics, graphical analysis, hypothesis testing, analysis of variance, and model building. The course combines the use of JMP with basic, intermediate, and advanced analytical methods. Interactive illustrations enable course attendees to understand statistical concepts by engaging and experimenting with them. To help guide them, attendees are also provided a set of flowcharts that integrates JMP tools into a process that shows them where they are, where they are going, and when they have fully completed the analysis. This course provides specific advice on how to exploit these methods in the real world. Engineers, scientists, and other analysts attending the course will come out prepared to take on problems and reveal exploitable insights.

3 Intermedio Corso in Aula
Statistical Thinking for Industrial Problem Solving Free e-learning
This course is for anyone seeking to develop core competency in applied problem-solving with data and statistics. It addresses the Statistical Thinking for Industrial Problem Solving certification exam content areas and tasks. This 25- to 30-hour e-learning course blends mini-lectures, case studies, demos, practices, and quizzes to provide an applied and interactive learning experience. Topics are grouped into seven stand-alone modules, and each module takes three to five hours to complete. Access to JMP software is provided in a virtual lab, along with the JMP Start Statistics eBook and other resources.

1 Base e-Learning
Instant Applications Using JMP Application Builder
This course is for JMP users who prepare applications for analysis and reporting. This course demonstrates how to use the drag-and-drop interface of the JMP Application Builder to develop and organize simple applications interactively, without using the JMP Scripting Language. The course uses a case study to demonstrate developing a dashboard that displays key performance indicators for a fictional company. Options for deployment of the completed application are demonstrated.

This course includes practice data and exercises.

2 Principiante e-Learning
JMP Learning Subscription
The JMP Learning Subscription provides unlimited access to all JMP e-Learning in a monthly or annual subscription. Learn how to:
  • Use JMP for data analysis and visualization, including bringing data in from various sources, manipulating data, and creating new variables, as well as creating and sharing JMP reports with other people.
  • Use statistical analysis to make decisions through the use of hypothesis testing, t tests, analysis of variance, regression analysis, and analysis of covariance.
  • Properly design and analyze an experiment through classical methods or by using custom design in JMP. Use the designed experiment to identify important factors, predict responses, incorporate hard-to-change factors, evaluate and compare different designs, and optimize processes.

The curriculum includes the following courses:

2 Principiante e-Learning
JMP® Software: A Case Study Approach to Data Exploration
This course is designed as the first step for those who want to use JMP to manage, analyze, and explore data. Two case studies are used to present typical data issues that students see.

2 Principiante Live Web Classroom e-Learning
JMP Pro Software: Exploring and Analyzing Patterns in Text Data
This course teaches you how to find and analyze patterns in textual data using Text Explorer in JMP Pro. A workflow is defined for effective and efficient exploration. Multivariate methods are applied to the frequency of terms after weighting and dimension reduction to capture relationships among important terms and phrases.

3 Intermedio Live Web Classroom
JMP Software: Analyzing and Modeling Multidimensional Data
This course is for JMP users who work with data that have many variables. The course demonstrates various ways to examine high-dimensional data in fewer dimensions, as well as patterns that exist in the data. Methods for unsupervised learning are presented in which relationships between the observations, as well as relationships between the variables, are uncovered. The course also demonstrates various ways of performing supervised learning where the relationships among both the output variables and the input variables are considered. In the course, emphasis is on understanding the results of the analysis and presenting conclusions with graphs.

3 Intermedio Live Web Classroom
JMP Pro: Analyzing Curves and Profiles Using the Functional Data Explorer
This course helps you recognize and model functional data. It teaches you to use the data as a response, such as the outcome for a designed experiment, or as new covariates or features, such as in a multivariate analysis.

Functional data are defined as a function, profile, or curve. They are a series of observations over time or any other continuous variable. These data can be modeled so that changes in the shape can be associated with changes in other variables.

3 Intermedio Live Web Classroom
JMP Software: Stability Analysis
This course presents an approach for integrating the techniques outlined in FDA regulations and ICH guidelines into your stability program. Specifically, the course focuses on the evaluation and statistical analysis of stability data. In addition to the analytical techniques, the course focuses on the motivation behind this approach. A case study is used to demonstrate these principles and the advantages of software tools.

3 Intermedio e-Learning
JMP® Software: Statistical Decisions Using ANOVA and Regression
This course teaches you how to use analysis of variance and regression methods to analyze data with a single continuous response variable. You learn how to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals are also introduced.

3 Intermedio Live Web Classroom e-Learning
Predictive Modeling Using JMP Pro
The course covers the skills required to develop, assess, tune, compare, and score predictive models using JMP Pro software.

4 Esperto Live Web Classroom
JMP Software: Classic Design of Experiments
This course teaches you how to design and analyze experiments in JMP to find the vital few factors or optimize the process response. The course emphasizes the principles of experimental design while demonstrating classic approaches to screening designs and response surface designs.

4 Esperto e-Learning
JMP Software: Custom Design of Experiments

4 Esperto e-Learning