These courses are being delivered by an IBM Global Training Provider
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.
- 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.
Delegates will learn how to
- Introduction to advanced statistical analysis
- Grouping variables with Factor Analysis and Principal Components Analysis
- Grouping cases with Cluster Analysis
- Predicting categorical targets with Nearest Neighbor Analysis
- Predicting categorical targets with Discriminant Analysis
- Predicting categorical targets with Logistic Regression
- Predicting categorical targets with Decision Trees
- Introduction to Survival Analysis
- Introduction to Generalized Linear Models
- Introduction to Linear Mixed Models
Introduction to advanced statistical analysis • Taxonomy of models • Overview of supervised models • Overview of models to create natural groupings Grouping variables with Factor Analysis and Principal Components Analysis • Factor Analysis basics • Principal Components basics • Assumptions of Factor Analysis • Key issues in Factor Analysis • Use Factor and component scores Grouping cases with Cluster Analysis • Cluster Analysis basics • Key issues in Cluster Analysis • K-Means Cluster Analysis • Assumptions of K-Means Cluster Analysis • TwoStep Cluster Analysis • Assumptions of TwoStep Cluster Analysis Predicting categorical targets with Nearest Neighbor Analysis • Nearest Neighbors Analysis basics • Key issues in Nearest Neighbor Analysis • Assess model fit Predicting categorical targets with Discriminant Analysis • Discriminant Analysis basics • The Discriminant Analysis model • Assumptions of Discriminant Analysis • Validate the solution Predicting categorical targets with Logistic Regression • Binary Logistic Regression basics • The Binary Logistic Regression model • Multinomial Logistic Regression basics • Assumptions of Logistic Regression procedures • Test hypotheses • ROC curves Predicting categorical targets with Decision Trees • Decision Trees basics • Explore CHAID • Explore C&RT • Compare Decision Trees methods Introduction to Survival Analysis • Survival Analysis basics • Kaplan-Meier Analysis • Assumptions of Kaplan-Meier Analysis • Cox Regression • Assumptions of Cox Regression Introduction to Generalized Linear Models • Generalized Linear Models basics • Available distributions • Available link functions Introduction to Linear Mixed Models • Linear Mixed Models basics • Hierarchical Linear Models • Modeling strategy • Assumptions of Linear Mixed Models
Frequently asked questionsSee all of our FAQs
How can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".
If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.
Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
Learn more about our Virtual Classrooms.
How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
Learn more about QA’s online courses.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.