Data Analysis Using SPSS For Beginners

Your Path to Efficient Analysis

The SPSS software platform stands as a comprehensive solution offering advanced statistical analysis, an extensive library of machine learning algorithms, text analysis capabilities, and seamless integration with big data. Notably, SPSS boasts an accessible interface that negates the need for coding, simplifying data preparation and analysis. Its user-friendliness, adaptability, and scalability render it suitable for users of all proficiencies, supporting projects ranging from simple to intricate, thereby enhancing efficiency, minimizing risk, and revealing novel opportunities.

Beginner's Guide to Statistical Analysis

Delve into the world of basic statistical analysis through this beginner-friendly course, tailored for those without prior experience in Statistics or SPSS. Geared towards non-statisticians, the course distils explanations to simple terms, sidestepping complex formulas and technical jargon. Quickly master the art of creating variables, employing charts, and performing descriptive analysis. Developed with the understanding that participants aren't professional statisticians, this course unravels statistical procedures in a straightforward manner, with minimal mathematical formulas and jargon. Complex calculations are employed only when essential and will be thoroughly elucidated when necessary.

Note: This course requires the learner to have SPSS installed on the device.

Upon completion of the course, learners would be able to:

• Familiarise with the SPSS environment and basic data management
• Perform simple operations with data
• Built the most useful charts in SPSS
• Perform the basic data analysis procedures
• Test normality and detect the outliers in a data
• Transform variables

If you are:

• A graduate student who is conducting your own independent data analysis, or
• A PhD candidate who is in the process of your dissertation project, or
• An academic researcher looking to improve your statistical analysis skills, or
• Business researcher, or
• Dreaming to get a job in the statistical analysis field someday, or
• Simply passionate about quantitative analysis

Kumar is an associate lecturer in SIM and Amity Global Education. He has 22 years of experience in teaching Statistics, Econometrics and Research Methods. His experience includes teaching for the degree programs offered by University of London, Manchester University, Northampton University, RMIT, Sterling University, University at Buffalo, and Teesside University. Kumar has more than 12 years of experience in guiding research candidates on data analysis for academic research projects.