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Data Analysis and Research

Advanced Data Visualization in SPSS

0 students
Last updated Jul 2026

Course Overview

About This Course

Welcome to Data Visualization Using IBM SPSS Statistics, a comprehensive course designed to help you create professional, insightful, and publication-quality charts and visualizations using IBM SPSS Statistics. Whether you are a student, researcher, data analyst, business professional, or academic, this course will equip you with the skills needed to transform complex datasets into meaningful visual stories.


The course covers the latest visualization tools and features available in IBM SPSS Statistics. You will learn how to create a wide range of charts, including bar charts, line graphs, scatter plots, histograms, box plots, pie charts, and other statistical visualizations. In addition to creating charts, you will learn how to customize layouts, colors, labels, fonts, and design elements to produce clear, professional, and publication-ready graphics. The course also focuses on selecting the most appropriate visualization for different types of data and effectively communicating statistical findings through visual storytelling.


By the end of this course, you will have the confidence to create, customize, interpret, and present high-quality data visualizations for research, business analytics, and academic publications.

Learning Outcomes

Create professional charts and data visualizations using IBM SPSS Statistics.

Customize graphs and charts to effectively communicate data insights.

Select appropriate visualization techniques for different types of statistical data.

Support data analysis and hypothesis testing with meaningful graphical presentations.

Produce publication-quality charts for research reports, dissertations, and presentations.

Curriculum

2 Sections • 13 Lectures
Introduction to Advanced Data Visualization in SPSS
0:54
What is Meaning of a Distribution?
8:32
Advanced data Visualization in SPSS
0:54
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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