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SPSS Powerclass: Learn SPSS from Advanced to Ultimate

Welcome to SPSS Powerclass: Advanced Data Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you move beyond the basics of SPSS and become a confident powe...

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Published 2026 · Last updated Aug 2026

SPSS Powerclass: Learn SPSS from Advanced to Ultimate

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Course overview

Course Overview

Welcome to SPSS Powerclass: Advanced Data Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you move beyond the basics of SPSS and become a confident power user. Whether you are a student, researcher, academic, data analyst, or research professional, this course will equip you with advanced analytical techniques and practical skills to perform sophisticated statistical analyses using IBM SPSS Statistics.


While many SPSS users are familiar with basic statistical techniques such as t-tests, ANOVA, correlation, and regression, this course focuses on advanced features that enable deeper data exploration and more meaningful research outcomes. You will learn advanced data import techniques, workbook mode, advanced descriptive statistics, ratio statistics, TURF analysis, advanced data visualization, and many other powerful SPSS features. Each topic is explained in a clear, step-by-step manner with conceptual explanations, practical examples, manual calculations where appropriate, and hands-on demonstrations using real-world datasets.


Designed with a problem-based learning approach, this course helps you understand not only how to perform advanced statistical analyses but also how to interpret and present your findings effectively. By the end of this course, you will have the confidence to use IBM SPSS Statistics for advanced research, academic projects, business analytics, and professional data analysis.


Learning Outcomes

Perform advanced statistical analyses using IBM SPSS Statistics with confidence.

Apply advanced SPSS features including data import, workbook mode, and specialized analytical techniques.

Create professional data visualizations and interpret complex statistical outputs.

Conduct advanced research analyses using practical, problem-based approaches.

Develop the skills required to become a proficient and confident SPSS power user.

What you walk away with

Career Map & Skills You Gain

Every course adds to three macro skills. Log in to swap platform averages for your own numbers.

Financial skills

62th

percentile

Your salary vs. learners in these roles

After this course+14 pts → 76th

Data Analysis and Research Specialist

78% course score

+8

Project Contributor

66% course score

+7

Independent Practitioner

61% course score

+6

Employability skills

71th

percentile

Quiz scores from the courses you finish

After this course+18 pts → 89th

Perform advanced statistical ana...

64% course score

+6 pts

Apply advanced SPSS features inc...

70% course score

+7 pts

Create professional data visuali...

76% course score

+8 pts

Conduct advanced research analys...

82% course score

+8 pts

Life skills

48th

percentile

Life-skill test scores after each course

After this course+11 pts → 59th

Critical thinking

76% course score

+8 pts

Decision-making

71% course score

+7 pts

Analytical mindset

68% course score

+7 pts

Curriculum

6 modules · 44 lessons · 5 hr 50 min

Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.

SPSS 29 Whats New
25:30
Data Entry in SPSS Advantage Over Excel
6:36
Understanding Name of Type of Variable
6:10
Understanding Width and Decimals
5:09
Understanding Labels
3:48
Understanding values
4:36
Understanding Missing Value
4:36
Coulmns and Alignment
2:42
Understanding Measures and Role
15:19
Descriptive Analysis_Population Descriptives
9:21
Introduction and Usage
10:11
What is Average Absolute Deviation (AAD)
4:00
What is Coefficient of Dispersion (COD)
2:25
What is Coefficient of Variation (COV)
3:08
What is Price Related Bias
3:34
What is Price Related Differential PRD
6:34
Understanding Confidence Interval of PRD and Concentration Index
6:13
Calculating Ratio Statistics in SPSS_Hypothesis Setting Data and Choosing Op
9:22
Interpretation of Output of Ratio Statistics
12:49
APA Style Write Up of Ratio Statistics
9:10
What is TURF Analysis and When to Use It ?
5:54
Defining TURF Analysis
3:23
What TURF Calculates?
9:27
Who Discovered TURF Analysis?
1:02
Assumptions of TURF Analysis?
3:22
Applications of TURF Analysis
3:58
Manual Calculation of TURF
17:25
TURF Analysis in SPSS: Understanding Input Options
11:56
Interpreting SPSS Output of TURF Analysis: Part 1
9:19
Interpreting SPSS Output of TURF Analysis: Part 2
2:58
APA Style Write Up of TURF Analysis
12:59
Introduction to Advanced Data Visualization in SPSS
0:54
What is Meaning of a Distribution?
8:32
Understanding Statistical Distributions
10:35
Creating Frequency and Probability Distributions in SPSS
21:09
Understanding Fat Tail and Thin Tail Distributions
6:44
Difference between FAT tail and THIN Tail Distributions
3:50
PP Plots in SPSS
12:17
1 Many Names of PP Plot
1:52
Interpreting PP Plots in reference to the mid line
1:46
What are QQ Plots
2:06
Creating and Interpreting QQ Plots in SPSS
6:21
How to Use QQ Plot to improve Normality of Your Variable
9:52
Relationship Maps in SPSS
30:08

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This course is available inside a Degree Track and cannot be purchased separately.

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Who is this course for?

This course is designed for learners who want a practical, comprehensive path through the course subject.

What will I learn?

You will build practical knowledge through the course lessons, examples, and activities.

How long do I have access?

Your course access remains available for the lifetime of your account, including future updates.

Do I get a certificate?

Yes. A verifiable certificate of completion is issued when you finish the course requirements.

Is there a refund policy?

Yes. There is a 30-day money-back guarantee, no questions asked.

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Lifetime access, mentor Q&A on every lesson, and a certificate you can share the moment you finish. If it is not right for you, the first 30 days are on us.

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