SPSS Masterclass: Learn SPSS From Scratch to Advanced

The Only Course You Will Ever Need to Learn IBM SPSS Statistics, Research, & Data Analysis Scratch to Advanced Level

4.38 (6657 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

Analyse any type of numerical data using SPSS with confidence

Independently plan your research study and Data Analysis from scratch.

Understand the research design and results presented in high quality journal articles

Do data analysis accurately and present the results in APA format.

Data Entry and Data Cleaning in SPSS

Data Organization Using SPSS

Data Transformation Using SPSS

Sample as well as Population Level Descriptive Analysis Using SPSS

Analysis of Group Differences Using t-Test and ANOVA

Linear and Multiple Regression Analysis in SPSS

Hierarchical and Advanced Regression Analysis in SPSS

Logistic Regression

Exploratory Factor Analysis (EFA)

Chi-Square and Measures of Association

Reliability Analysis and Scale Validation Using SPSS

Graphical Representation and Advanced Data Visualization Using SPSS

Moderation and Mediation Analysis Using PROCESS Macro in SPSS

General Linear Modelling Vs. Generalized Linear Modelling in SPSS

Repeated Measure ANOVA

Correlational Analysis in SPSS

Analysis of Associations in SPSS

Analysis of Covariance (ANCOVA)

Multivariate Analysis of Variance (MANOVA)

SPSS Programming Using Python

Ratio Statistics in SPSS

TURF Analysis in SPSS

Survival Analysis

Meta Analysis

Course Gallery

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SPSS Masterclass: Learn SPSS From Scratch to Advanced – Screenshot 3 — Screenshot 3 – SPSS Masterclass: Learn SPSS From Scratch to Advanced

SPSS Masterclass: Learn SPSS From Scratch to Advanced – Screenshot 4 — Screenshot 4 – SPSS Masterclass: Learn SPSS From Scratch to Advanced

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Students

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Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

The SPSS Masterclass provides a strong foundation for understanding and using IBM SPSS Statistics from scratch to advanced level. Comprehensive coverage of essential topics, real-world examples, and hands-on exercises set it apart from other courses. However, improvements in section goals, better transition between topics, more practical assignments, and addressing pacing and accent concerns can further enhance the learning experience.

What We Liked

Well-structured curriculum with a logical flow, suitable for both beginners and those with some prior knowledge of statistics.
Comprehensive coverage of essential topics including data entry, manipulation, descriptive and inferential statistics, and advanced techniques such as factor analysis and cluster analysis.
Real-world examples and hands-on exercises enhance the learning experience, enabling immediate application of new skills.
Updated regularly to ensure alignment with the latest SPSS functionalities, making it a valuable resource for professionals.

Potential Drawbacks

Lack of clear goals for each section may hinder understanding and make it difficult to follow.
Some users have reported issues with abrupt topic transitions that could negatively impact learning.
Limited practical examples and assignments between practice videos, reducing hands-on experience and skill internalization.
Accent and pacing concerns in some lessons can occasionally affect clarity.