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IBM SPSS Statistics Foundation Course cover
Data Analysis and Research

IBM SPSS Statistics Foundation Course

0 students
Last updated Jul 2026

Course Overview

About This Course

Welcome to Quantitative Data Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you develop practical and in-demand skills in statistical data analysis using one of the world's leading statistical software packages. Whether you are a student, researcher, academic, teacher, or corporate professional, this course provides a structured learning path to build confidence in analyzing quantitative data and interpreting statistical results.


The course covers the complete workflow of quantitative data analysis, from understanding research design and preparing datasets to selecting appropriate statistical techniques, conducting analyses, interpreting outputs, and presenting findings in a professional manner. Through hands-on demonstrations, practical examples, and real-world datasets, you will learn how to use IBM SPSS Statistics to solve research problems, test hypotheses, and generate meaningful insights. The course also emphasizes best practices for reporting statistical findings in accordance with accepted academic and professional standards.


By the end of this course, you will possess the knowledge and practical expertise to perform quantitative data analysis confidently using IBM SPSS Statistics, enabling you to undertake research projects, interpret published research, and make data-driven decisions in academic, business, and professional environments.

Learning Outcomes

Analyze quantitative data confidently using IBM SPSS Statistics.

Design and conduct research studies using appropriate statistical techniques.

Select, perform, and interpret a wide range of statistical analyses in SPSS.

Critically understand and interpret statistical results presented in research publications.

Present statistical findings in a professional, accurate, and research-standard format.

Curriculum

4hr 43min 10 Sections • 66 Lectures
About Instructor
Dataset and Resources
1:03
Quantitative Method Articles
9:12
Article on Philosophy of Research
0:41
Articles with Fascinating Research Ideas
1:12
Downloading and Installing SPSS on Windows
9:53
Installing SPSS GradPack
1:12
SPSS Statistics 26
5:21
SPSS Statistics 28
12:02
Definition and Type of Statistics
2:56
Parametric vs Non-Parametric Statistics and Their Assumptions
9:38
Conceptualizing Variables IV, DV, Control, Moderators & Mediating Variables
7:00
Variable Type Numeric Defining Names, Width, Decimal & Labels for Variables
5:52
Variable Type Comma & Dot
5:12
Variable Type Scientific Notation
2:10
Variable Type Date and Time Stamps
2:43
Variable Type Dollar
1:03
Variable Type Custom Currency
4:11
Variable Type String
1:44
Variable Type Restricted Numeric
3:05
Defining Values & Labels
3:29
Defining Missing Values Discrete, Range & System-Missing Values
4:34
Setting Columns & Alignment
2:33
Defining Scales of Measurement
10:51
Types of Data Files in SPSS Statistics
11:20
Importing an Excel data file in SPSS
5:26
Opening a Comma Separated or CSV file type in SPSS
7:25
Dataset for Recode Function
0:17
COMPUTE VARIABLE function
1:51
Calculating Total using COMPUTE function
8:35
Exercise: Try COMPUTE using IF
1:26
Exercise Solution: COMPUTE using IF
2:19
Recode Function: When to Recode?
6:31
Why We have Two RECODE Functions
1:43
How to RECODE into Different Variable
10:38
COMPUTING Total After RECODE
1:56
RECODE into Same Variable
8:47
Setting Data for Descriptive Analysis
3:08
Types of Descriptive Statistics
6:15
Understanding Three Different Descriptive Tabs in SPSS
5:07
Calculating Frequencies
9:55
Descriptives Analysis Using Crosstab
4:25
Measures of Central Tendency: Mean, Median, Mode
4:07
Calculating and Interpreting Mean, Median & Mode
5:27
Confirming Mode with Frequencies
2:03
Explore Option Calculating Grouped Descriptives
5:10
Explore Option Interpreting Groupwise Mean and 95% Confidence Interval of Mean
2:43
5% Trimmed Mean: Concept, Use & Interpretation
0:56
Explore Median, Standard Deviation, Variance, Minimum, Maximum, & Range
1:49
Quartiles and Inter-Quartile Range using Explore Option
2:37
Calculating & Interpreting Significance Level of Skewness
5:13
Kurtosis Calculation, Interpretation and Understanding Significance Level
3:07
Standard Error of Mean Concept, Calculation & Interpretation
1:33
Independent sample t-test: Defining input options
7:15
Independent sample t-test Interpreting descriptive output (Mean, SD, SE)
3:44
Independent Sample t-test Interpreting Levene's test, t, p, SE and 95% Confidence Interval
APA Style write-up for Independent Sample t-test
3:35
When to use Paired Sample t-test?
2:39
Calculating Paired Sample t-test in SPSS
4:26
Interpreting Paired Sample t-test Output
2:51
APA Style write-up for Paired Sample t-test
2:06
When to Use One-Way ANOVA
1:46
Calculating One-Way ANOVA in SPSS
2:57
Interpreting ANOVA output: Descriptive Statistics
2:55
Interpreting Output: ANOVA Summary Table
3:39
Doing Post-hoc analysis in ANOVA Homogeneity of Variance Test & Post-hoc Tests
5:36
₹1,950 Enroll Now
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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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