SPSS Combo (All 4 Courses) Course
Course Details:
Length: 8 Days
Price: $4,590/person (USD)
Savings: $460/person (USD)
Group Price: Request Quote
Course Features:
Live Instructor Teaching
Certificate of Completion
Digital Badge: Yes
Free 6 Month Online Retake
Hands-On Learning: Yes
Courseware: Digital
Software Lab Included: Yes
Delivery Methods:
Live Online
Individuals & Groups
@ Your Location
Onsite for Teams
Groups & Teams
@ Your Organization
For a private team training, we can teach onsite at your office or private live online.
Course Overview
The Ultimate Guide to SPSS: From Data Basics to Advanced AnalyticsEnroll in 4 of our instructor-led SPSS classes and save $460. This course package includes:
This Master SPSS Combo course is your definitive training package for mastering IBM SPSS Statistics. By bundling our four essential courses, we provide a complete, end-to-end learning path that transforms you from a beginner into a confident, expert-level data analyst. This comprehensive program covers every aspect of the data lifecycle, from initial management to sophisticated statistical modeling.
What You'll Gain:
- A Complete Skill Set: Move from foundational skills like navigating the software and managing your data to advanced statistical procedures and data transformation techniques.
- Real-World Expertise: Learn to use SPSS syntax to automate tasks, merge complex datasets, and perform sophisticated analyses like logistic regression, factor analysis, and cluster analysis.
- Confidence in Your Work: Understand the "why" and "when" behind each method, allowing you to interpret results accurately and make evidence-based decisions.
Whether you're a student, researcher, or professional, this bundle is the most efficient way to achieve a high level of proficiency in SPSS data analysis. You will save time, increase efficiency, and produce the kind of robust, professional results that advance your career.
Ready to unlock your full potential and become an SPSS master? Enroll now and take control of your data.
Course Notes
Register Early: Registration Deadline is 2 Weeks Prior to Class Start.
Important Course Information
Course Taught with Courseware: SPSS Version 29 Courseware.Course Taught with Software: SPSS Version 29 Sotware.
Versions that Can Attend: SPSS Version 19 and newer.
Important Note: There are NO printed manual for this class.
Prerequisites
Knowledge Prerequisites:
For success in this course, you need basic end-user skills on any current Windows version, including starting/switching between programs, finding/saving files, closing programs, and using a browser. You can obtain this level of skills and knowledge by taking the Windows for End Users Course.
- Experience with SPSS is not necessary, though a basic understanding of the purpose and functions of the software is helpful.
- No statistical background is necessary.
Objectives
- Read, open, and save various data file types in SPSS.
- Define and modify variable attributes for effective data management.
- Navigate the SPSS Data Editor and Output Viewer with confidence.
- Create and work with multiple data sources simultaneously.
- Use the Command Syntax to streamline your workflow and save time.
- Conduct basic data analysis and present your results in clear, professional formats.
- Perform advanced data transformations and use `If` conditions and functions to manipulate variables.
- Automate repetitive tasks using SPSS syntax and the Production Mode Facility.
- Merge different data files by adding cases and/or adding variables.
- Edit and customize pivot tables and charts for professional output.
- Export SPSS results to other Windows applications, including Excel and Word.
- Control the SPSS environment by setting various options and preferences.
- Understand the principles of research design and the statistical analysis process.
- Explore, summarize, and describe categorical and continuous data.
- Check the distribution of data and interpret measures of central tendency and dispersion.
- Perform bivariate analysis, including t-tests and correlations, to test relationships between variables.
- Interpret statistical output and use plots to graphically display results.
- Gain an introductory understanding of regression analysis and one-factor ANOVA.
- Apply advanced statistical procedures like Discriminant Analysis and Logistic Regression to a variety of datasets.
- Understand the key assumptions for each statistical technique and determine when to use them.
- Perform Factor Analysis and Cluster Analysis to simplify data and identify groupings.
- Conduct Survival Analysis and Loglinear Analysis.
- Analyze data using MANOVA and Repeated Measures ANOVA.
- Accurately interpret and present the results of your advanced statistical models.
Target Audience
- Students and academic researchers.
- Business professionals and market researchers.
- Professionals who need to perform data analysis for their work.
- Analysts and researchers who need to handle complex datasets.
- Experienced users seeking a refresher on statistical techniques.
- Anyone considering purchasing or using SPSS for Windows.
- Seasoned researchers and analysts who need to perform complex statistical modeling.
- Academics or students with a solid understanding of statistics seeking to apply advanced procedures in their work.
- Professionals looking to refine their analytical skills and increase their efficiency with SPSS.
Delivery Methods
For Individuals
Learn From an Instructor Live Online
Certstaffix Training public classes are taught by live instructors to you in the comfort of your home or work. Attend our live online, instructor-led classes from the convenience of your location and avoid travel.
How It Works
- A live instructor teaching you online via Zoom
- Hands-on learning with the software or skill you are being taught
- Any needed software for the class is provided in an online lab
- Interact with all students in the class
- Classes are kept small to have time for student questions
- Easy, Real-Time Q&A
Have more than 10 students needing this course? Contact Us for bulk pricing.
For Groups/Teams
2 Ways to Hold a Private Group Class
Certstaffix Training offers two ways to hold a private training for your team:
1. Group Onsite at Your Organization
An instructor comes to your organization to teach face-to-face. Travel is included in our onsite training prices. Use the quote form on this page to request a custom quote.
2. Private Live Online
An instructor holds an online class just for your team. We provide the online conferencing and online lab environments (if applicable).
Both Ways
No matter where you hold a private class, Certstaffix Training provides any required software in a web browser (during class) and ships any courseware (if applicable) directly to you before class starts.
- A live instructor teaches your team an off-the-shelf or customized class
- You choose the class schedule (subject to instructor availability)
- You choose an off-the-shelf course or select topics
- An online software lab environment is provided during class (if applicable, may require the creation of a free trial account)
- Courseware is shipped before class (if applicable)
For further information and group rate inquiries, please Contact Us.
Course Topics
Introduction to SPSS:
Days 1 & 2
This two-day, hands-on course provides a clear and straightforward path for beginners to master the fundamentals of IBM SPSS Statistics. You'll learn to read and define data, modify variables, and run basic analyses, enabling you to produce accurate and professional results for your projects.
Detailed Course Outline:
Detailed Course Outline:
- Windows
- Designated Window versus Active Window
- Status Bar
- Dialog Boxes
- Variable Names and Variable Labels in Dialog Box Lists
- Resizing Dialog Boxes
- Dialog Box Controls
- Selecting Variables
- Data Type, Measurement Level, and Variable List Icons
- Getting Information about Variables in Dialog Boxes
- Basic Steps in Data Analysis
- Statistics Coach
- Finding Out More
- Getting Help on Output Terms
- Opening Data Files
- To Open Data Files
- Data File Types
- Opening File Options
- Reading Excel 95 or Later Files
- Reading Older Excel Files & Other Spreadsheets
- Reading dBase Files
- Reading Stata Files
- Reading Database Files
- Text Wizard
- Reading Dimensions Data
- File Information
- Saving Data Files
- To Save Modified Data Files
- Saving Data Files in External Formats
- Saving Data Files in Excel Format
- Saving Data Files in SAS Format
- Saving Data Files in Stata Format
- Saving Subsets of Variables
- Exporting to a Database
- Exporting to Dimensions
- Protecting Original Data
- Virtual Active File
- Creating a Data Cache
- Data View
- Variable View
- To Display or Define Variable Attributes
- Variable Names
- Variable Measurement Level
- Variable Type
- Variable Labels
- Value Labels
- Inserting Line Breaks in Labels
- Missing Values
- Column Width
- Variable Alignment
- Applying Variable Definition Attributes to Multiple Variables
- Custom Variable Attributes
- Customizing Variable View
- Spell Checking Variable and Value Labels
- Entering Data
- To Enter Numeric Data
- To Enter Non-Numeric Data
- To Use Value Labels for Data Entry
- Data Value Restrictions in the Data Editor
- Editing Data
- Replacing or Modifying Data Values
- Cutting, Copying, and Pasting Data Values
- Inserting New Cases
- Inserting New Variables
- To Change Data Type
- Finding Cases or Variables
- Finding and Replacing Data and Attribute Values
- Case Selection Status in the Data Editor
- Data Editor Display Options
- Data Editor Printing
- To Print Data Editor Contents
- Basic Handling of Multiple Data Sources
- Working with Multiple Datasets in Command Syntax
- Copying and Pasting Information between Datasets
- Renaming Datasets
- Suppressing Multiple Datasets
- Viewer
- Showing and Hiding Results
- Moving, Deleting, and Copying Output
- Changing Initial Alignment
- Changing Alignment of Output Items
- Viewer Outline
- Adding Items to the Viewer
- Finding and Replacing Information in the Viewer
- Copying Output into Other Applications
- To Copy and Paste Output Items into Another Application
- Export Output
- HTML, Word/RTF, and Excel Options
- PowerPoint Options
- PDF Options
- Text Options
- Options for Exporting Charts
- Viewer Printing
- To Print Output and Charts
- Print Preview
- Page Attributes: Headers and Footers
- Page Attributes: Options
- Saving Output
- To Save a Viewer Document
- Syntax Rules
- Pasting Syntax from Dialog Boxes
- To Paste Syntax from Dialog Boxes
- Copying Syntax from the Output Log
- To Copy Syntax from the Output Log
- To Run Command Syntax
- Unicode Syntax Files
- Multiple Execute Commands
- Crosstabs Layers
- Crosstabs Cluttered Bar Charts
- Crosstabs Statistics
- Crosstabs Cell Display
- Crosstabs Table Format
- Building and Editing a Chart
- Building Charts
- Editing Charts
- Chart Definition Options
- Adding and Editing Titles and Footnotes
- Setting General Options
Data Management & Manipulation with SPSS
Days 3 & 4
Designed for users ready to move beyond the basics, this two-day training focuses on advanced data transformation and automation. You'll gain a deep understanding of SPSS syntax, learn to merge multiple data files, and discover how to automate repetitive tasks to save time and increase your efficiency.
Detailed Course Outline:
Detailed Course Outline:
- Different Modes of Running SPSS
- Menus and Dialogs
- SPSS Syntax Editor and SPSS Commands
- SPSS Production Mode Facility
- When to Use the Different Modes
- Summary Exercises
- Introduction
- Automatic Recode
- Counting Values Across Variables
- If Conditions
- Do If Else If Logic
- Conditional Count Transformation
- Summary Exercises
- Introduction
- Using Functions In SPSS
- The Any and Range Functions
- Missing Functions
- Useful System Variables
- Summary Exercises
- Introduction
- Working with Dates and Times
- Converting String Variables to Date Variables
- String Transformations
- Summary Exercises
- Introduction
- Identifying Duplicate Cases
- Custom Variable Attributes
- Variable Sets
- Saving Selected Variables
- Displaying SPSS Data File Properties
- Directing Output to A Different Viewer Window
- Summary Exercises
- Introduction
- Data Aggregation
- Aggregate the Country Data to A Separate Region File
- Aggregate Region Variables to The Country File
- Summary Exercises
- Adding Cases In SPSS
- Checking the SPSS Data File
- Reading the Dbase File
- Adding the Files
- Exploring the Combined File
- Testing Mean Differences – T Test
- Appendix: Adding Cases from More Than Two Files
- Summary Exercises
- Introduction
- Considerations in File Merging
- A One-To-One Match
- Measuring Change
- Reporting the Changes
- A One-To-Many Match
- A One-To-Many Match Example
- Appendix: Adding Variables from More Than Two Files
- Summary Exercises
- Introduction
- Chart Templates
- Setting A Default Chart Template
- Editing Pivot Tables
- Rules for Editing Pivot Tables
- Table Properties
- Editing Cell Properties
- Showing and Hiding Cells
- Creating Category Groups
- Rotating Labels
- Summary Exercises
- Introduction
- Three Types of SPSS Output
- ActiveX and SPSS
- Moving Pivot Table Output to Other Applications
- Pasting Pivot Tables into Spreadsheets
- Pasting Standard Graphics From SPSS
- Moving Text Output from SPSS To Word Processors
- Exporting SPSS Output
- SPSS Output Management System
- Summary Exercises
- SPSS Options
- General Tab
- Viewer Tab
- Draft Viewer Tab
- Output Labels Tab
- Charts Tab
- Pivot Tables Tab
- Data Tab
- Scripts Tab
- Using the Set Command
Introduction to Statistical Analysis using SPSS
Days 5 & 6
This two-day, application-oriented course equips you with the fundamental skills to perform statistical analysis with SPSS, even if you have a limited statistical background. You'll learn to apply a broad range of techniques, understand their assumptions, and confidently interpret and display your results.
Detailed Course Outline:
Detailed Course Outline:
Principles of Research Design and Process
Data Cleaning and Preparation: Using the Add-on Data Preparation Module
Describing Categorical Data
Summarizing Continuous Data
Measures of Central Tendency and Dispersion
Checking the form of distribution
Probability and inferential statistics
Comparing Categorical Variables
Measures of Association
Mean Differences between Groups: T Test
Bivariate plots and correlations
Introduction to Regression
Appendix A: Mean differences between Groups: One-Factor ANOVA
Appendix B: Introduction to Multiple Regression
IAdvanced Statistical Analysis using SPSS:
Days 7 & 8
This two-day seminar is for professionals and students with a solid statistical foundation who are ready to tackle complex procedures. You'll delve into advanced techniques like Discriminant Analysis, Logistic Regression, and Factor Analysis, gaining the expertise to choose the right method, understand its assumptions, and accurately interpret the results.
Detailed Course Outline:
Detailed Course Outline:
- Goals of the Course
- Taxonomy of Methods
- General Approach
- Summary
- How Does Discriminant Analysis Work?
- The Elements of Discriminant Analysis
- The Discriminant Model
- How Cases are Classified
- Assumptions of Discriminant Analysis
- A Two-Group Discriminant Example
- Checking Variance Assumptions
- Running a Discriminant Analysis
- The Discriminant Coefficients
- Classification Statistics 2- 18 Prediction
- The Assumption of Equal Covariance
- Modifying the List of Predictors
- Casewise Statistics and Outliers
- Adjusting Prior Probabilities
- Validating the Discriminant Model
- Stepwise Model Selection
- Three-Group Discriminant Analysis
- Summary
- How Does Logistic Regression Work?
- The Logistic Equation
- The Elements of Logistic Regression
- Assumptions of Logistic Regression
- A First Example of Logistic Regression
- Interpreting Logistic Regression Coefficients
- Making Predictions
- The Accuracy of Prediction
- Estimated Probabilities
- Checking Classifications
- Residual Analysis
- Stepwise Logistic Regression
- Summary
- Appendix: Comparison to Discriminant Analysis
- Multinomial Logistic Model
- Assumptions of Multinomial Logistic Regression
- A Multinomial Logistic Analysis: Predicting Credit Risk
- Interpreting Coefficients
- Classification Table
- Making Predictions
- Appendix: Multinomial Logistic with a Two-Category Outcome
- What is Survival Analysis
- Concepts
- Censoring
- What to Look for in Survival Analysis
- Survival Procedures in SPSS
- An Example: Kaplan-Meier
- Results
- Extensions
- Summary
- How Does Cluster Analysis Work?
- Types of Data Used for Clustering
- What to Look at When Clustering
- Methods
- Distance and Standardization
- Overall Recommendations
- Example I: Hierarchical Cluster Analysis
- Cluster Results
- Obtaining Mean Profiles of Clusters
- Relating Clusters to Other Variables
- Summary of First Cluster Example
- Example II: K-Means Clustering
- Running K-Means Clustering
- Summary
- Uses of Factor Analysis
- What to Look for When Running Factor Analysis
- Principles
- The Idea of a Principal Component
- Factor Analysis Versus Principal Components
- Number of Factors
- Rotation
- Factor Scores & Sample Size
- Methods
- An Example: 1988 Olympic Decathlon Scores
- Looking at Correlations
- Principal Components Analysis with an Orthogonal Rotation
- Principal Axis Factoring with an Oblique Rotation
- Summary
- What are Loglinear Models
- Relations Among Loglinear, Logit Models and Logistic Regression
- What to Look for in Loglinear and Logit Analysis
- Assumptions
- Procedures in SPSS that Run Loglinear or Logit Analysis
- Example: Analysis of Location Preference (Model Selection)
- Running the Analysis
- Significance Tests
- Coefficient Interpretation
- Summary
- Appendix: Logit Analysis with Specific Model (Genlog)
- Results
- Why Perform MANOVA
- Assumptions of MANOVA
- What to Look for in MANOVA
- SPSS Version 7 Differences
- An Example: Memory Influences
- Examining the Output
- Post Hoc Tests
- Summary
- Appendix: Post Hoc Testing of Means
- Why do a Repeated Measures Study
- The Logic of Repeated Measures
- Assumptions
- Example: One Factor Drug Study
- Examining Results
- Further Analysis
- Planned Comparisons
- Summary
- Appendix: Ad Viewing with Pre-Post Brand Ratings
- Examining Results
- Tests of Assumptions
- Profile Plots
- Extensions
Related SPSS Information:
How Much Do SPSS Training Courses Cost?
Public instructor-led SPSS course prices start at $1,265 per student. Group training discounts are available.
Self-Paced SPSS eLearning courses cost $300 at the starting point per student. Group purchase discounts are available.
What SPSS Skills Should I Learn?
A: If you are wondering what SPSS skills are important to learn, we've written a SPSS Skills and Learning Guide that maps out SPSS skills that are key to master and which of our courses teaches each skill.
Read Our SPSS Skills and Learning Guide
How long does it take to learn SPSS?
A: The answer to this question depends on a number of factors, including your prior experience with statistical software, your learning goals, and the amount of time you are willing to dedicate to learning SPSS. Generally speaking, it will take most people several weeks to become proficient in using SPSS for basic data analysis tasks. However, if you want to learn more advanced features and functions, it could take several months or longer. The best way to estimate how long it will take you to learn SPSS is to try it out for yourself. You can sign up for a free trial of the software and start working through some of the tutorials available online. With a little time and practice, you should be able to get a good sense of how long it will take you to become proficient in using SPSS.
If you're interested in taking an online or schedule a corporate onsite course to learn SPSS, Certstaffix Training offers both options. Our SPSS courses are either live online or self-paced, while our group onsite courses are offered for corporate clients at their offices. Contact us today to learn more about our SPSS training courses and how we can help you achieve your learning goals.
Can I learn SPSS Online?
A: Yes - you can learn SPSS online. In fact, many students find that learning online is more convenient and flexible than attending traditional classroom-based courses.
Certstaffix Training offers a variety of online SPSS courses that are designed to fit your schedule and learning style. You can attend either our live online instructor-led SPSS classes or register for a self-paced SPSS course to master the software.
Whether you're a beginner or an experienced user, we have an online SPSS course that's right for you. So why not get started today and see how easy it is to learn SPSS online!
What is an SPSS course?
A: An SPSS course is a class that teaches you how to use the software program SPSS. This software is used for statistical analysis, and the course will teach you how to properly use it in order to get accurate results. The class will cover topics such as inputting data, running tests, and interpreting results. If you are looking to learn how to use this software program, then an SPSS course is the perfect option for you.
Browse the available SPSS courses from Certstaffix Training now.
What are options to learn SPSS software?
If you are looking to improve your skills in using the popular statistical software, then enrolling in an SPSS training course is a great option. This type of course can provide you with valuable knowledge and hands-on experience that can benefit you both personally and professionally.
About SPSS Software Course
SPSS or Statistical Package for the Social Sciences is a software application that is widely used for statistical analysis in various fields such as social sciences, business, and healthcare. It was originally developed by IBM in 1968 and has since become one of the most popular tools for data analysis.
What to Expect from SPSS Training
During an SPSS training course, participants can expect to learn about the different features of the software, including data entry and manipulation, descriptive statistics, hypothesis testing, and visualization. Through hands-on exercises and real-world examples, participants will gain a better understanding of how to use SPSS effectively for their specific needs.
Benefits of SPSS Coaching
Those who are new to SPSS or need a refresher on the software can greatly benefit from one-on-one or group coaching. A coach can provide personalized guidance and support, allowing individuals to learn at their own pace and ask questions as needed. This type of training can also be tailored to a specific project or research area for maximum relevance.
Live SPSS Certification Course Online
For those who are looking to gain recognition for their skills in using SPSS, there are various live online SPSS courses that prepare you for follow-on certification tests. These courses cover all the essential aspects of SPSS and often include hands-on exercises and quizzes to test your knowledge. Upon completion, individuals can obtain a certificate that showcases their proficiency in using the software.
Convenience of Self-Paced SPSS Online Course
One of the major advantages of a self-paced SPSS online course is its flexibility. Participants can access course materials and complete assignments at their own convenience, making it ideal for those with busy schedules. Online courses also eliminate the need for travel, making it a more cost-effective option. A SPSS online course with certificate may be an additional feature to look out for.
Stay Up-to-Date with an SPSS Refresher Course
As technology and software constantly evolve, it is important to stay current with the latest updates and features of SPSS. A refresher course can provide individuals with the opportunity to brush up on their skills and learn about any new updates or tools that have been added to the software.
Obtain a Certificate with an SPSS Class Online
For those who are looking for a formal recognition of their knowledge in using SPSS, an online class can provide the necessary training and instruction to obtain a SPSS certification. This type of course typically covers all the essential aspects of SPSS and includes hands-on exercises and assessments to ensure mastery of the material.
Wrapping Up
Enrolling in an SPSS training course can greatly benefit individuals looking to enhance their skills in using this powerful statistical software. With options such as coaching, certification courses, and online classes available, there is a training option suitable for everyone's needs and schedule.
Certstaffix Training offers instructor-led live online, face-to-face corporate and self-paced eLearning SPSS training options. Contact us today for more information on how to get started.
What are the top SPSS skills?
A: There are many different SPSS skills that can be useful for businesses and organizations. However, some skills are more commonly used than others. The following are some of the top SPSS skills that businesses often look for:
Top SPSS Skills
1. Data entry
2. Data analysis
3. Data interpretation
4. Report generation
5. Statistical modeling
6. Custom programming
7. Consulting services
8. Training and support
Each business or organization will have different needs when it comes to SPSS skills. It is important to assess the specific needs of your business in order to determine which skills are most important. Once you have identified the top SPSS skills that your business needs, you can begin searching for employees who possess those skills. Alternatively, you may also want to consider training existing employees on the necessary SPSS skills. Either way, ensuring that your business has the right SPSS skills can help to improve its overall efficiency and productivity.
Where Can I Learn More About SPSS?
SPSS Blogs
SPSS User Groups
SPSS Online Forums
Explore SPSS Training Classes Near Me:
Certstaffix Training provides SPSS classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of SPSS concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your SPSS skills. Start learning today and see how Certstaffix Training can help you reach your goals.
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