Data Science / Statistics / IBM / SPSS / SPSS Statistics - Statistical Data Analysis 1

SPSS - SPSS Statistics - Statistical Data Analysis 1

Details

ID 2858613
Classroom 2 days 9:00-16:30
Webinar 4 days 9:00-12:30
Method Presentation with examples and hands-on labs.
Prequisite Basics in Statistics
Audience Data Analysts


SPSS SPSS Statistics - Statistical Data Analysis 1 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 1 TrainingIBM SPSS Statistics is a comprehensive system for analyzing data. SPSS Statistics can take data from almost any type offile and use them to generate tabulated reports, charts and plots of distributions and trends, descriptive statistics, and complex statistical analyses. This training shows you how to use the graphical user interface of SPSS Statistics. You will learn how to make the most out of the wide range of statistical procedures for basic analyses and reports, including counts, crosstabs and descriptive statistics. 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

  • 2022-May-23 - May-26
  • 2022-Aug-01 - Aug-04

950 EUR +VAT

Location | Enrollment


Agenda

SPSS SPSS Statistics - Statistical Data Analysis 1 Seminar
Data Files

Opening data files - File information - Saving data files - Comparing datasets - Data View - Variable View - Entering data - Editing data - Finding cases, variables, or imputations - Finding and replacing data and attribute values - Working with Multiple Data Sources

Data preparation and transformation

Variable properties - Defining Variable Properties - Setting measurement level for variables with unknown measurement level - Multiple Response Sets - Copying Data Properties - Visual Binning - Count Occurrences of Values within Cases - Identifying Duplicate Cases - Computing Variables - Recoding Values - Rank Cases - Time Series Data Transformations

Outputs

Viewer - Export output - Viewer printing - Saving output

Pivot Tables

Manipulating a pivot table - Workingwithlayers - Showing and hiding items - Table properties - Cell properties - Footnotes and captions

Working with Command Syntax

Syntax Rules - Using the Syntax Editor

Trainer

SPSS SPSS Statistics - Statistical Data Analysis 1 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 1 Trainer