Data Interpretation Made Easy | Mastery Course

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

Created by: Scholarsight Learning
Courses in High Impact Research & Technology

What Will I 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

Requirements

• The course is built from scratch so no prior knowledge of SPSS or Statistics is required. We cover all the required details in the course both theory and practical part.
• The learners must have a copy of SPSS software to practise the steps taught in this course.

Target audience

• PhD students and researchers looking to master SPSS skills and publish in high impact journals
• Professionals looking for a career in analytics in corporate sector
• Faculty members looking to master SPSS and advance their data analysis skills