IBM SPSS Schulungen finden - Das passende Seminar in Ihrer Nähe

Overview

This course provides an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel their subscription, predicting property values, segment customers based on usage, and market basket analysis.

Overview

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.

Overview

This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base one section presents an add-on module, IBM SPSS Custom Tables.

Overview

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.

Der Kurs Grundlagen der Statistik mit SPSS  führt in die angewandte Statistik unter Anwendung von SPSS ein. Sie erhalten eine Einführung in die grundlegenden Funktionen der Statistiksoftware IBM SPSS Statistics mit den Methoden und Verfahren des Datenimports, der Datenaufbereitung, der Datenanalyse und der Präsentation von Ergebnissen. Der Lehrstoff wird unter Zuhilfenahme professioneller Didaktik durch den Wechsel von Input und anwendungsbezogenen Übungen mit SPSS vermittelt.

Der Nutzen des Seminars besteht darin, dass durch den Kurs Anfänger innerhalb einer Woche in die Lage versetzt werden, Daten auf hohem Niveau analysieren und interpretieren zu können. Es wird dabei die führende Statistik-Software SPSS eingesetzt, die seit 1964 fortlaufend entwickelt wird und als Referenz zur Beurteilung anderer Statistikprogramme gilt.

Durch intensives Trainieren mit ständigen Übungen und Wiederholungen anhand von über einem Dutzend Datensätzen aus den Bereichen der Markt- und Meinungsforschung, der medizinischen Forschung und der Technik/Produktion steht das SPSS Lernen im Vordergrund und es wird ein vertieftes Verständnis der statistischen Verfahren und ein sicherer Umgang mit SPSS sichergestellt.

Feedbacks unserer Teilnehmer: https://www.provenexpert.com/dhl-data-science-seminare-gmbh/

Overview

In this course, students will learn to use scientific methods, processes, and algorithms to identify patterns, trends, and insights from data - with the goal of enabling better decision-making.  Students will use watsonx.ai to synthesize skills from statistics, computer science, and management information systems to analyze and interpret complex datasets. This course includes a practical component with hands-on exercises focused on collecting, preparing, mining, and visualizing data and then building a machine learning and foundation model with methods on how to deploy them. 

Overview

This course provides technical professionals with the skills that are needed to administer IBM MQ queue managers on distributed operating systems and in the Cloud. In addition to the instructor-led lectures, you participate in hands-on lab exercises that are designed to reinforce lecture content. The lab exercises use IBM MQ V9.0, giving you practical experience with tasks such as handling queue recovery, implementing security, and problem determination.

Note: This course does not cover any of the features of MQ for z/OS or MQ for IBM i.

Overview

This course provides technical professionals with the skills that are needed to administer IBM MQ queue managers on distributed operating systems and in the Cloud. In addition to the instructor-led lectures, you participate in hands-on lab exercises that are designed to reinforce lecture content. The lab exercises use IBM MQ V9.0, giving you practical experience with tasks such as handling queue recovery, implementing security, and problem determination.

Note: This course does not cover any of the features of MQ for z/OS or MQ for IBM i.

Overview

This course provides technical professionals with the skills that are needed to administer IBM MQ queue managers on distributed operating systems and in the Cloud. In addition to the instructor-led lectures, you participate in hands-on lab exercises that are designed to reinforce lecture content. The lab exercises use IBM MQ V9.0, giving you practical experience with tasks such as handling queue recovery, implementing security, and problem determination.

Note: This course does not cover any of the features of MQ for z/OS or MQ for IBM i.