A Workshop on Research Writing, Statistical Thinking and Data Analysis technique
By: Felix Emeka Anyiam on Sept. 8, 2019, 8:13 p.m.
You too can learn to write and interpret published research articles and perform complex statistical analysis on your own using different Statistical tools.
2. Explore literature search and review techniques using Openly Accessible repositories
1. Learn how to plan their research work, structure their research paper for publication, learn the proper scientific language when writing, ethical standards and avoid plagiarism
3. Learn how to improve their research writing by using a Reference Management Software (Mendeley)
4. Learn the foundation in building survey methodology and how to clearly set their research agenda through a sound methodology
5. Gain knowledge on different sampling techniques, learn how to write a good research question, test the reliability of their questionnaire and prepare their data for analysis
6. Learn how to utilize statistical tests, introduce both parametric and non-parametric tests including regression and correlational analysis
7. Understanding a range of analytical techniques and presentation methods using numerical data
8. Understand how to recognize which types of analysis are best suited to particular types of data and problems
9. Explore the use of Microsoft Excel, SPSS and Epi-Info® Data Analysis Tool Pack and their capabilities
NGN 150,000 (Before or on 30th September, 2019)
NGN 190,000 (After 30th September, 2019)
The fee includes:
- Accommodation (4 Nights at Genesis Hotel Super Deluxe Room)
- Refreshments: Tea Breaks and Lunches during workshop (Buffet Menu)
- Printed Course Materials (+ E-Copies on CD’s on request)
- Course Training Videos
- Training Statistical Software’s (to be installed at training venue on personal computer)
Date: Tuesday October 15 – Friday October 18, 2019
Time: 09:00AM - 5:00PM
Who this course is for
- Early and Mid-level Researchers
- Health and Allied Professionals
- Epidemiologists/Public Health Practitioners & Students
- Anyone whose jobs involve manipulation, representation, interpretation and/or analysis of numerical data.
*This workshop involves extensive computer-based data analysis using Excel, SPSS and Epi-Info® and therefore participants will be expected to be numerate and to enjoy working with numerical data on a computer.
Felix Emeka Anyiam (Biostatistician), MPH (Manchester, UK), Data Science (Trieste, Italy)
Accomplished Researcher, Analytics and Data Science professional with demonstrated ability to develop and implement data-driven solutions in the Urban and Health sector; with over 10 years’ experience in teaching and leading Epidemiological, Biostatistical, Data Science, and Machine Learning projects, from descriptive to predictive analytics. Presently, he is the Biostatistician for the AuthorAID Online Journal Clubs pilot project, International Network for the Availability of Scientific Publications (INASP), United Kingdom. He is also the Lead Trainer for Joseph Peniel Analytics, Nigeria.
For further enquiries, contact any of the following telephone numbers:
+2348064995462 (Call & Whatsapp) | +2348037602678 (Call & Whatsapp) |