Introduction to Statistics 2 - Professional course
Program Overview
This non-credit course covers advanced statistical concepts, including confidence intervals, nonparametric tests, linear regression, and missing value analysis. It is designed for individuals with prior statistical knowledge and emphasizes practical implementation using SPSS. Participants will receive a Certificate of Attendance upon completion.
Program Outline
Outline:
This is a non-credit bearing course covering different aspects of applied statistics. This short course runs on one day, 10:00-16:00. It continues to cover the commonly used statistical tests and covers confidence intervals, the nonparametric approach to inference (e.g. the Wilcoxon test, Mann Whitney test, Kruskal Wallis test, etc) as well as exploring relationships using linear regression and missing value analysis. An overview of selecting the most appropriate statistical test is given. We would expect attendees to have met statistical ideas at some point in their past, ideally to be familiar with the material covered in the pre-requisite course: Introduction to Statistics 1. Both days will focus on practical implementation of statistical techniques using SPSS, with further emphasis placed on incorporating good study design into your planning.
Assessment:
This is a non-credit bearing course and no assessment will be undertaken. You will receive a Certificate of Attendance on completion of the course.
Teaching:
This course is delivered through both taught and practical sessions. The course is taught by experienced and qualified lecturers who are experts in their field. The teaching materials are designed to be accessible to students from a variety of backgrounds and levels of understanding.
Careers:
This course can help you to develop the skills and knowledge that you need for a career in a variety of fields, including:
- Data analysis
- Statistics
- Research
- Business
- Finance
- Marketing
- Healthcare
Other:
- This course is ideal for anyone who wants to learn more about applied statistics.
- This course can also be used as a refresher for those who have already studied statistics at a higher level.
