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Advanced Statistical Analysis Using IBM SPSS Statistics (V25)

  • Tuition USD $1,650
  • Reviews star_rate star_rate star_rate star_rate star_half 1505 Ratings
  • Course Code 0G09AG
  • Duration 2 days
  • Available Formats Classroom, Virtual
0G09AG - Advanced Statistical Analysis Using IBM SPSS Statistics (V25)

Course Eligible for IBM Digital Badge

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.

Skills Gained

  • Introduction to advanced statistical analysis
  • Group variables: Factor Analysis and Principal Components Analysis
  • Group similar cases: Cluster Analysis
  • Predict categorical targets with Nearest Neighbor Analysis
  • Predict categorical targets with Discriminant Analysis
  • Predict categorical targets with Logistic Regression
  • Predict categorical targets with Decision Trees
  • Introduction to Survival Analysis
  • Introduction to Generalized Linear Models
  • Introduction to Linear Mixed Models

Who Can Benefit

Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions.

Prerequisites

  • Experience with IBM SPSS Statistics (navigation through windows; using dialog boxes)
  • Knowledge of statistics, either by on the job experience, intermediate-level statistics oriented courses, or completion of the Statistical Analysis Using IBM SPSS Statistics (V25) course.

Course Details

Course Outline

Introduction to advanced statistical analysis
- Taxonomy of models
- Overview of supervised models
- Overview of models to create natural groupings

Group variables: Factor Analysis and Principal Components Analysis
- Factor Analysis basics
- Principal Components basics
- Assumptions of Factor Analysis
- Key issues in Factor Analysis
- Improve the interpretability
- Use Factor and component scores

Group similar cases: 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

Predict categorical targets with Nearest Neighbor Analysis
- Nearest Neighbor Analysis basics
- Key issues in Nearest Neighbor Analysis
- Assess model fit

Predict categorical targets with Discriminant Analysis
- Discriminant Analysis basics
- The Discriminant Analysis model
- Core concepts of Discriminant Analysis
- Classification of cases
- Assumptions of Discriminant Analysis
- Validate the solution

Predict categorical targets with Logistic Regression
- Binary Logistic Regression basics
- The Binary Logistic Regression model
- Multinomial Logistic Regression basics
- Assumptions of Logistic Regression procedures
- Testing hypotheses

Predict categorical targets with Decision Trees
- Decision Trees basics
- Validate the solution
- Explore CHAID
- Explore CRT
- Comparing 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
- Hierachical Linear Models
- Modeling strategy
- Assumptions of Linear Mixed Models

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

The training provided by ExitCertified is excellent in terms of instructor and contents. It's really helpful.

Facilities were very clean, coffee was nice to have, snack selection was refreshing

I enjoyed this class and the instructor did a very good job explaining the course material.

Overall good experience considering the situation we are all in. Could use more hands on experience

Great company to work with. Have taken training with Exit in the past. This experience is consistent with the others.

3 options available

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  • Dec 14, 2020 Dec 15, 2020 (2 days)
    Location
    iMVP
    Language
    English
    Time
    9:30AM 5:30PM EST
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  • Feb 3, 2021 Feb 4, 2021 (2 days)
    Location
    iMVP
    Language
    English
    Time
    9:30AM 5:30PM EST
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  • Mar 22, 2021 Mar 23, 2021 (2 days)
    Location
    iMVP
    Language
    English
    Time
    9:30AM 5:30PM EDT
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