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SPSS Powerclass: Learn SPSS from Advanced to Ultimate cover
Data Analysis and Research

SPSS Powerclass: Learn SPSS from Advanced to Ultimate

0 students
Last updated Jul 2026

Course Overview

About This Course

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.

Curriculum

6 Sections • 44 Lectures
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

Degree Track Only

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

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An experienced and passionate instructor, [Name] is dedicated to fostering a dynamic and engaging learning environment where students feel motivated to grow both academically and personally. With a strong foundation in their subject area, they bring clarity, structure, and enthusiasm to every lesson, ensuring complex concepts are made accessible and relevant. Their teaching approach blends theoretical knowledge with practical application, encouraging students to think critically and develop problem-solving skills. Known for their supportive and approachable demeanor, [Name] builds meaningful connections with students, understanding that each learner has unique strengths and challenges. They are committed to creating an inclusive classroom atmosphere where curiosity is encouraged, questions are welcomed, and every student feels valued. By adapting teaching methods to suit diverse learning styles, they help students gain confidence and achieve their full potential. Beyond the classroom, [Name] is deeply invested in continuous learning and professional development, staying updated with the latest educational practices and advancements in their field. They often contribute to curriculum development, mentorship programs, and extracurricular activities, reinforcing their role as not just an instructor, but a mentor and guide. Their ultimate goal is to inspire lifelong learning and empower students to succeed in an ever-evolving world.

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