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Updated in [August 13th, 2023]
Skills and Knowledge Acquired:
This course will provide students with the skills and knowledge necessary to become an expert in statistical analysis using SPSS. Students will learn the essential skills of an SPSS data analyst, from the simplest operations with data to the advanced multivariate techniques like logistic regression, multidimensional scaling or principal component analysis. The course will also cover the basics of statistical concepts, as well as how to interpret the main output of the statistical procedures. Additionally, students will gain an understanding of 56 statistical procedures, from the simplest to the most advanced.
Contribution to Professional Growth:
This course provides a comprehensive overview of SPSS and its various statistical procedures, from the simplest operations with data to the advanced multivariate techniques. It is designed to help professionals and students alike to improve their statistical analysis skills and gain a better understanding of quantitative analysis. By mastering the essential skills of an SPSS data analyst, participants can gain a competitive edge in the job market and become more knowledgeable in their field. Additionally, the course provides a 30-day money-back guarantee, allowing participants to evaluate the course without risk.
Suitability for Further Education:
This SPSS course is suitable for preparing further education as it covers a wide range of topics from the simplest operations with data to the advanced multivariate techniques. It is designed for those who have no prior experience with SPSS and provides comprehensive descriptions and explanations of each statistical procedure. Additionally, the course offers 56 guides, presenting 56 statistical procedures, from the simplest to the most advanced. Furthermore, the course provides a 30-day money-back guarantee, allowing students to evaluate the course without risk.
Course Syllabus
Getting Started
The Basics
Creating Charts in SPSS
Simple Analysis Techniques
Assumption Checking. Data Transformations
One-Sample Tests
Association Tests
Tests For Mean Difference
Predictive Techniques
Scaling Techniques
Data Reduction
Grouping Methods
Addenda
Course Materials