The Short Course in Quantitative Data Analysis using SPSS for Beginners at Richwick Metropolitan Campus is a 10-hour introductory programme designed to provide a simplified and practical introduction to quantitative data analysis. Delivered over five days (2 hours per day) through online or physical sessions, the course focuses on hands-on learning to analyze, interpret, and present numerical data effectively using real-world datasets. The curriculum covers the entire data analysis pipeline, from interface basics and data cleaning to descriptive statistics and basic inferential testing like t-tests and ANOVA. This course is ideal for those looking to move beyond theory and gain the confidence to handle realistic Sri Lankan datasets for academic or professional research.
A graduate of the Short Course in Quantitative Data Analysis using SPSS is a technically proficient individual capable of independently conducting basic quantitative research. They are skilled in the practical use of the SPSS interface, including coding variables in Variable View and managing data in Data View. These learners understand how to clean datasets by handling missing values and outliers, and they can perform essential statistical operations such as calculating central tendency and running correlation analyses. Confident and precise, they are prepared to interpret complex output tables and p-values to present their findings in a professional format for undergraduate or postgraduate dissertations and professional reports.
Investment: Rs. 5,000 | Duration: 10 Hours (5 Days | 2 Hours per day) | Mode: Online / Physical | Dataset: Sri Lankan context dataset included
A holder of a Certificate in Quantitative Data Analysis using SPSS for Beginners should be a competent and data-literate person who possesses a sound knowledge of basic statistical paradigms, an individual with practical data management and cleaning knowledge, a metrics-driven descriptive and inferential analyst, an effective communicator for presenting numerical datasets, and an independent professional who has the potential to execute foundational research operations and generate evidence-based analytical value for an organization.
The Short Course in Quantitative Data Analysis using SPSS for Beginners offered by the campus is a comprehensive 10-hour programme designed to provide foundational knowledge and practical skills in managing, analyzing, and interpreting numerical data. This hands-on introductory course focuses on real-world Sri Lankan data applications and outputs, making it ideal for individuals seeking to enhance their expertise in these fields, whether they are looking to support academic research, upgrade institutional data capabilities, or advance their corporate careers.
| Day Plan | Core Topics Covered | Practical Skill Activities |
|---|---|---|
| Day 1 (2 Hours) |
• Overview of quantitative data analysis • Introduction to the SPSS interface • Variable View vs. Data View mechanics • Creating variables and coding data |
Activity: Creating a primary dataset directly in SPSS |
| Day 2 (2 Hours) |
• Handling missing entry values • Detecting operational data entry errors • Identifying outliers within datasets • Recoding and transforming data variables |
Activity: Cleaning and restructuring a corrupted dataset in SPSS |
| Day 3 (2 Hours) |
• Running frequencies and descriptive analysis • Measures of central tendency (Mean, Median, Mode) • Measures of dispersion (Standard Deviation, Variance) • Generating data tables and cross-tab charts |
Activity: Running descriptive statistical summaries in SPSS |
| Day 4 (2 Hours) |
• Introduction to statistical hypothesis testing • Executing correlation analyses • Independent samples t-test processing • One-way ANOVA fundamentals |
Activity: Performing baseline inferential statistical tests in SPSS |
| Day 5 (2 Hours) |
• Decoding complex SPSS output tables • Interpreting p-values and significance levels • Professional presentation of tables and graphs • Structural results writing frameworks |
Activity: Interpreting data metrics and writing a final results summary report |
