Data Science / Statistics / IBM / SPSS / SPSS Statistics - Statistical Data Analysis 2 (Multivariate Analysis)

SPSS - SPSS Statistics - Statistical Data Analysis 2 (Multivariate Analysis)

Details

ID 2858623
Classroom 3 days 9:00-16:30
Webinar 5 days 9:00-12:30
Method Lecture with examples and exercises.
Prequisite Basic knowledge of statistics
Audience Data Analysts


SPSS SPSS Statistics - Statistical Data Analysis 2 (Multivariate Analysis) Training

Services

  • Lunch / Catering
  • Assistance for hotel / travel bookings
  • Comelio certificate
  • Flexible: Free cancellation up until one day before the training

Summary

SPSS SPSS Statistics - Statistical Data Analysis 2 (Multivariate Analysis) TrainingThe IBM SPSS Statistics Premium Edition helps data analysts, planners, forecasters, survey researchers, program evaluators and database marketers – among others – to easily accomplish tasks at every phase of the analytical process. It includes a broad array of fully integrated Statistics capabilities and related products for specialized analytical tasks across the enterprise. The software will improve productivity significantly and help achieve superior results for specific projects and business goals. This training covers topics as the analysis of categorical and numeric data , linear and nonlinear models, decision trees, articial neural networks, forecasting and time series and more. For legal reasons (license management), this training can only be delivered on your hardware using your (test) license. Please contact us concerning dates and handling before the actual booking.

Training Dates

  • 2021-Mar-08 - Mar-12
  • 2021-May-17 - May-21

850 EUR +VAT

Location | Enrollment


Agenda

SPSS SPSS Statistics - Statistical Data Analysis 2 (Multivariate Analysis) Seminar
Regression

GLM Univariate - Linear Regression - Ordinal Regression - Curve Fitting - Partial Least Squares Regression

Discriminant Analysis

Defining Ranges - Selecting Cases - Stepwise Method - Classifying

Exploratory Factor Analysis

Selecting Cases - Descriptive Statistics - Factor Extraction - Rotation - Factor Values

Decision Trees

Creating Decision Trees: Selecting Categories, Validation Criteria for the Construction of the Tree - Tree Editor: Working with Large Trees, Controlling the Data Displayed in the Tree - Data Assumptions and Requirements - Construct a Valuation Model - Missing Values ??in Tree Models

Cluster Analysis

Distance Calculations - Nearest Neighbor Analysis - Two-Step Cluster Analysis - Hierarchical Cluster Analysis - Cluster Analysis

Artificial Neural Networks

Structure of Neural Networks - Multilayer Perceptron: Partitions, Architecture, Training, Editing - Radial Basis Function: Architecture, Training

Time Series

Transforming Data - Time Series Modeling: Exponential Smoothing, Custom ARIMA Models, Output - Seasonal Decomposition - Spectra - Forecasts - Determining Significant Predictors

Trainer

SPSS SPSS Statistics - Statistical Data Analysis 2 (Multivariate Analysis) Trainer

Marco Skulschus (born in Germany in 1978) studied economics in Wuppertal (Germany) and Paris (France) and wrote his master´s thesis about semantic data modeling. He started working as a lecturer and consultant in 2002.

Publications
  • MS SQL Server - XML und SOAP-Webservices ISBN 978-3-939701-03-3
  • MS SQL Server - T-SQL Programmierung und Abfragen ISBN 978-3-939701-02-6
  • SQL und relationale Datenbanken ISBN 978-3-939701-52-1
  • Grundlagen empirische Sozialforschung - Befragung und Fragebogen im Unternehmen ISBN 978-3-939701-23-1
  • System und Systematik von Fragebögen ISBN 978-3-939701-26-2
  • MS SQL Server - XML und SOAP-Webservices ISBN 978-3-939701-03-3
  • MS SQL Server - T-SQL Programmierung und Abfragen ISBN 978-3-939701-02-6
  • SQL und relationale Datenbanken ISBN 978-3-939701-52-1
  • Grundlagen empirische Sozialforschung - Befragung und Fragebogen im Unternehmen ISBN 978-3-939701-23-1
  • System und Systematik von Fragebögen ISBN 978-3-939701-26-2
Projects

He works as an IT-consultant and project manager. He developed various Business Intelligence systems for industry clients and the public sector. For several years now, he is responsible for a BI-team in India which is mainly involved in BI and OLAP projects, reporting systems as well as statistical analysis and Data Mining.

Research

He led several research projects and was leading scientist and project manager of a publicly funded project about interactive questionnaires and online surveys.

SPSS SPSS Statistics - Statistical Data Analysis 2 (Multivariate Analysis) Trainer