Follow Us on Social!
Kursangebot
- Frühlingsspecial
- Garantietermine
- Neue Trainings
- Fast Lane LIVE E-Learning
- Fast Lane Academy»
-
Fast Lane IT Workshops»
- IT-Training by Fast Lane
- Garantietermine
- Themen im Fokus
- Professional Services
- Trainingspakete
- Hersteller im Fokus
- Amazon Web Services»
- Aruba»
- Cisco»
- Citrix»
- EC-Council»
- Google Cloud»
- Microsoft»
- NetApp»
- Palo Alto Networks»
- Red Hat»
- VMware»
-
Weitere Hersteller»
- Adobe
- Apple
- Arista
- Automation Anywhere
- Barracuda
- Bosch IoT Academy
- Brocade
- CA Technologies
- Check Point
- Cloud Security Alliance
- Cloudera
- Commvault
- CompTIA
- CWNP
- Cybersecurity First Responder
- Cydrill Secure Encoding
- DataCore
- Dell EMC
- Extreme Networks
- F5
- Fortinet
- Gigamon
- IBM
- (ISC)²
- Infoblox
- Juniper
- Kaspersky Lab
- Micro Focus
- NCTA Cloud
- Nutanix
- Oracle
- Pivotal / Spring
- Riverbed
- Ruckus
- Salesforce
- SAP
- SonicWall
- Sophos
- SUSE
- Symantec
- Trend Micro
- TÜV (IT-Security)
- Veritas
- IT- & Projektmanagement»
- ITIL®
- PRINCE2®
- Scrum
- Scaled Agile®
- Atlassian
- Themen/Technologien im Fokus
- Artificial Intelligence (AI)»
- Business & Soft Skills»
- Cloud Computing»
- Cyber Security»
- Data Center»
- Internet of Things (IoT)»
- Kubernetes / Container»
- Linux»
- Network Analysis / Wireshark»
- Software Development»
- Wireless & Mobility»
Advanced Statistical Analysis Using IBM SPSS Statistics (V26) (0G09BG)
Who should attend
IBM SPS Statistics users who want to learn advanced statistical methods to be able to better answer research questions.
Prerequisites
- Experience with IBM SPSS Statistics (version 18 or later)
- Knowledge of statistics, either by on the job experience, intermediate-level statistics oriented courses, or completion of the Statistical Analysis Using IBM SPSS Statistics (V26) course.
Course Content
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.
Online Training
Dauer 16 Tage
Digitale KursunterlagenSprache der Kursunterlagen: Englisch
Derzeit gibt es keine Online-Termine für diesen Kurs.
Classroom Training
Dauer 16 Tage
inkl. Verpflegung
Verpflegung umfasst:
- Kaffee, Tee, Saft, Wasser, Cola
- Gebäck und Süßigkeiten
- Frisches Obst
- Mittagessen in einem der naheliegenden Restaurants
Gilt nur bei Durchführung durch Fast Lane. Termine, die von unseren Partnern durchgeführt werden, beinhalten ggf. ein abweichendes Verpflegungsangebot.
Sprache der Kursunterlagen: Englisch
Derzeit gibt es keine Trainingstermine für diesen Kurs.