COURSE TITLE: FUNDAMENTALS OF PARAMETRIC AND NON-PARAMETRIC ANALYSIS
Venue: TICD Main Campus, Arusha-Tanzania
Course Duration: 1 Week
Starting date: 16 Oct 2023, Ending date: 20 Oct 2023, Application deadline: 4 days before starting date
Fees for Foreigners: USD 350
Fees for Locals: TZS 700,000
Payment Details: To cover tuition, training materials, lunch and refreshment
This course is designed to equip participants with a comprehensive understanding of both parametric and non-parametric statistical analysis methods. Participants will learn the theoretical foundations, practical applications, and key differences between these two types of analyses. The course will cover various statistical tests, their assumptions, and when to appropriately use each approach. Through a combination of theoretical lessons and hands-on exercises, participants will gain the skills necessary to choose and perform the appropriate analysis for different types of data and research questions.
This course is specifically designed for professionals and individuals directly involved in monitoring and evaluation, research, data analysis, and related fields. It caters to M&E/MEL/MEAL Officers, Researchers, Academicians and Students in relevant fields, as well as anyone seeking to enhance their statistical analysis skills for data-driven decision-making. The content is geared towards those who require an understanding of parametric and non-parametric analysis methods for their work in evidence-based decision-making. It can also accommodate both beginners and those with some prior experience in the field.
Upon completing this course, participants will be able to:
- Apply parametric and non-parametric analysis techniques based on data distribution, assumptions, and objectives.
- Apply statistical tests in ensuring valid and reliable results
- Interpret statistical findings into meaningful insights, contributing to evidence-based decision-making processes.
- Make decisions about whether to use parametric or non-parametric techniques to achieve reliable results.
- Apply the techniques to real-world scenarios and case studies
- Communicate analysis results ethically and transparently
- Introduction to parametric and non-parametric analysis
- Parametric analysis techniques
- Non-parametric analysis techniques
- Choosing the right analysis and their practical applications
- Practical experience in tackling data analysis challenges
- Present findings in a clear and concise manner, catering to both technical and non-technical audience.