Formations SPSS

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Global Knowledge
La Science des Données pour tous avec IBM SPSS Modeler (v18.1.1)Par Global Knowledge

This course focuses on reviewing concepts of data science, where participants will learn the stages of a data science project. Topics include using automated tools to prepare data for analysis, build models, evaluate models, and deploy models. To learn about these data science concepts and topics, participants will use IBM SPSS Modeler as a tool.

Global Knowledge
IBM SPSS Modeler (v18.1.1) : Introduction au module SPSS Text AnalyticsPar Global Knowledge

This course (formerly: Introduction to IBM SPSS Text Analytics for IBM SPSS Modeler (v18)) teaches you how to analyze text data using IBM SPSS Modeler Text Analytics. You will be introduced to the complete set of steps involved in working with text data, from reading the text data to creating the final categories for additional analysis. After the final model has been created, there is an example of how to apply the model to perform churn analysis in telecommunications. Topics include how to automatically and manually create and modify categories, how to edit synonym, type, and exclude dictionaries, and how to perform Text Link Analysis and Cluster Analysis with text data. Also included are examples of how to create resource tempates and Text Analysis packages to share with other projects and other users.

Global Knowledge
Analyse statistique avancée avec IBM SPSS Statistics (V25)Par Global Knowledge

This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases.

Global Knowledge
IBM SPSS Modeler (v18.1.1) : Segmentation clientsPar Global Knowledge

This course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision trees such as CHAID and C&R Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks. Students will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.

Global Knowledge
Construction de typologie et modèles d'association avec IBM SPSS Modeler (v18.1.1)Par Global Knowledge

Clustering and Association Modeling Using IBM SPSS Modeler (v18.1) introduces modelers to two specific classes of modeling that are available in IBM SPSS Modeler: clustering and associations. Participants will explore various clustering techniques that are often employed in market segmentation studies. Participants will also explore how to create association models to find rules describing the relationships among a set of items, and how to create sequence models to find rules describing the relationships over time among a set of items.

Global Knowledge
IBM SPSS Modeler Foundations (V18.2)Par Global Knowledge

This course provides the foundations of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and introduces the student to modeling.

Global Knowledge
Advanced Statistical Analysis Using IBM SPSS Statistics (V26)Par Global Knowledge

This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases.

Global Knowledge
IBM SPSS Statistics (V25) : Découvrir les BasesPar Global Knowledge

This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis process. Students will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results.

Students will also see how easy it is to get data into IBM SPSS Statistics so that they can focus on analyzing the information. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base features.

Global Knowledge
Programmation et Analyse Statistique avec RPar Global Knowledge

Ce cours fournit une initiation à la programmation et à l'analyse statistique avec R. Les participants apprennent dans un premier temps les concepts de base de la programmation dans R ainsi que l'utilisation des packages de R. Ensuite ils explorent les données à disposition, puis apprennent à produire des graphes descriptifs et enfin à réaliser les modèles de la régression linéaire et d'ANOVA.

Ce module de formation peut être suivi indépendamment ou dans le cadre de notre parcours métier Data Scientist.

Global Knowledge
Statistical Analysis Using IBM SPSS Statistics (V26)Par Global Knowledge

This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results.