SPSS Powerclass: Learn SPSS from Advanced to Ultimate
Learn Advanced SPSS Statistics from Scratch. Become SPSS Power User. Covers Research Methods and Statistics on SPSS 29
Description
Hi there! Welcome to SPSS Powerclass!
SPSS Statistics is the most popular GUI-based software for doing data analysis and Research. It's the most preferred software for academicians and research professionals. However, most of the users of SPSS remain confined to the basic features of SPSS and end up doing what everyone else is doing. That's why you see most of the research articles report the most common statistical tests like correlation, regression, factor analysis, and some basic forms of group difference tests like ANOVA and t-test. This devoids research to methodological diversity, and neither it appeals to a genuine pursuit of knowledge.
The purpose of the SPSS Powerclass is to take the knowledge of SPSS to the next level. This course offers in-depth coverage of advanced features of SPSS, like:
Advanced data import methods in SPSS
How to work with SPSS in Workbook mode?
Advanced Descriptive Statistics in SPSS
Ratio Statistics in SPSS
TURF Analysis in SPSS
Advanced-Data Visualization in SPSS
and many more!
Pedagogy:
Step-by-step coverage offering an explanation of all options of a test
Coverage of basics and underlying concepts in each test
Manual calculation of tests, wherever relevant offered
Probelm-based teaching, where each test is explained by taking practical problems
Easy to understand language.
I am sure this course will help you in taking your SPSS skills to the next level!
Become a power user of SPSS!!
Join SPSS Powerclass today!!
What You Will Learn!
- Advanced data import methods in SPSS
- How to work with SPSS in Workbook and Syntax mode?
- Advanced Descriptive Statistics in SPSS
- Ratio Statistics in SPSS
- TURF Analysis in SPSS
- Survival Analysis
- Meta-Analysis
- Advanced-Data Visualization in SPSS
- And many more advanced SPSS topics!
Who Should Attend!
- Researchers and Ph.D. Students
- Social Scientists and Academicians
- Data Analysis Professionals
- Statistics and Data Science Professionals