Epidemiology and Biostatistics Course
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Epidemiology and Biostatistics Course

10 Days Online - Virtual Training

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# Start Date End Date Duration Location Registration
17 16/10/2023 27/10/2023 10 Days Live Online Training
18 16/10/2023 27/10/2023 10 Days Live Online Training
19 30/10/2023 10/11/2023 10 Days Live Online Training
20 13/11/2023 24/11/2023 10 Days Live Online Training
21 27/11/2023 08/12/2023 10 Days Live Online Training
22 08/01/2024 19/01/2024 10 Days Live Online Training
23 08/01/2024 19/01/2024 10 Days Live Online Training
24 22/01/2024 02/02/2024 10 Days Live Online Training
25 19/02/2024 01/03/2024 10 Days Live Online Training
26 04/03/2024 15/03/2024 10 Days Live Online Training
27 18/03/2024 29/03/2024 10 Days Live Online Training
28 15/04/2024 26/04/2024 10 Days Live Online Training
29 13/05/2024 24/05/2024 10 Days Live Online Training
30 10/06/2024 21/06/2024 10 Days Live Online Training
31 08/07/2024 19/07/2024 10 Days Live Online Training
32 05/08/2024 16/08/2024 10 Days Live Online Training
33 02/09/2024 13/09/2024 10 Days Live Online Training
34 30/09/2024 11/10/2024 10 Days Live Online Training
35 28/10/2024 08/11/2024 10 Days Live Online Training
36 25/11/2024 06/12/2024 10 Days Live Online Training
37 09/12/2024 20/12/2024 10 Days Live Online Training


 The Epidemiology and Biostatistics course provides participants with a comprehensive understanding of the fundamental principles and applications of epidemiology and biostatistics in public health research and practice. This course aims to equip participants with the knowledge and skills necessary to analyze and interpret health data, conduct epidemiological investigations, and apply statistical methods in public health research.


 The primary objective of this course is to enhance participants' understanding and proficiency in epidemiology and biostatistics. By the end of the course, participants should be able to:

  1. Understand the basic concepts and principles of epidemiology and biostatistics.
  2. Apply epidemiological methods to investigate the distribution and determinants of diseases.
  3. Analyze health data using appropriate statistical techniques.
  4. Interpret and communicate research findings effectively.
  5. Utilize epidemiological and statistical knowledge in public health research and decision-making.

Organizational Benefits:

 By participating in this course, organizations can expect the following benefits:

  1. Enhanced capacity of staff members to conduct epidemiological investigations and research studies.
  2. Improved ability to analyze and interpret health data for evidence-based decision-making.
  3. Strengthened research capabilities, leading to the generation of high-quality scientific evidence.
  4. Increased efficiency in designing and implementing public health interventions.
  5. Enhanced collaboration and communication among researchers, policymakers, and public health practitioners.

Who Should Attend: This course is designed for professionals and practitioners working in the field of public health, including:

  1. Public health researchers and scientists.
  2. Epidemiologists and biostatisticians.
  3. Medical professionals involved in public health research and practice.
  4. Public health policymakers and program managers.
  5. Health educators and community health workers.


The course will be conducted over a period of 20 days, allowing participants to delve deeply into the subject matter, engage in practical exercises, and apply learned concepts through case studies and projects.

Course Outline:

  1. Introduction to Epidemiology
    • Definition, scope, and significance of epidemiology
    • Historical development of epidemiology
    • Epidemiological study designs and data sources
  2. Measures of Disease Frequency and Association
    • Calculation and interpretation of disease rates
    • Measures of association (e.g., risk ratio, odds ratio)
    • Use of epidemiological measures in public health decision-making
  3. Study Designs in Epidemiology
    • Cross-sectional studies
    • Cohort studies
    • Case-control studies
    • Experimental studies and randomized controlled trials
  4. Bias and Confounding in Epidemiological Studies
    • Types and sources of bias
    • Strategies to minimize bias in study design and analysis
    • Confounding and its impact on study results
  5. Data Collection and Management in Epidemiology
    • Principles of data collection and sources of data
    • Data quality assurance and validation
    • Ethical considerations in data collection
    • ODK Form Design
    • ODK Data Collection
    • ODK Server Setup and Management
    • Data Analysis and Visualization with ODK 
  6. Descriptive Epidemiology
    • Presentation and interpretation of epidemiological data
    • Calculation and interpretation of measures of central tendency and dispersion
    • Data visualization techniques
  7. Analytical Epidemiology
    • Hypothesis testing and inference in epidemiology
    • Parametric and non-parametric statistical tests
    • Multiple regression analysis
  8. Outbreak Investigation and Surveillance
    • Principles and steps of outbreak investigation
    • Role of surveillance in public health
    • Surveillance systems and data analysis
  9. Principles of Public Health Biostatistics
    • Introduction to biostatistics and its applications in public health
    • Probability and probability distributions
    • Sampling techniques and sample size calculation
  10. Statistical Inference and Hypothesis Testing
    • Principles of statistical inference
    • Hypothesis testing and p-values
    • Confidence intervals and their interpretation
  11. Analysis of Categorical Data
    • Chi-square test for independence
    • Measures of association for categorical data
    • Logistic regression analysis
  12. Analysis of Continuous Data
    • t-tests for independent and paired samples
    • Analysis of variance (ANOVA)
    • Correlation and regression analysis
  13. Survival Analysis
    • Kaplan-Meier survival analysis
    • Cox proportional hazards regression
    • Interpretation of survival analysis results
  14. Data Management and Statistical Software
    • Principles of data management
    • Data cleaning and data transformation
    • Introduction to statistical software (e.g., Excel SPSS, R,Python)
  15. Communicating Epidemiological and Statistical Findings
    • Effective presentation and visualization of data
    • Interpreting and communicating study findings
    • Ethical considerations in data dissemination

General Notes

·         All our courses can be Tailor-made to participants' needs

·         The participant must be conversant in English

·         Presentations are well-guided, practical exercises, web-based tutorials, and group work. Our facilitators are experts with more than 10 years of experience.

·         Upon completion of training the participant will be issued with a Foscore development center certificate (FDC-K)

·         Training will be done at the Foscore development center (FDC-K) centers. We also offer inhouse and online training on the client schedule

·         Course duration is flexible and the contents can be modified to fit any number of days.

·         The course fee for onsite training includes facilitation training materials, 2 coffee breaks, a buffet lunch, and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance, and other personal expenses.

·         Accommodation, pickup, freight booking, and Visa processing arrangement, are done on request, at discounted prices.

·         Tablet and Laptops are provided to participants on request as an add-on cost to the training fee.

·         One-year free Consultation and Coaching provided after the course.

·         Register as a group of more than two and enjoy a discount of (10% to 50%)

·         Payment should be done before commence of the training or as agreed by the parties, to the FOSCORE DEVELOPMENT CENTER account, so as to enable us to prepare better for you.

·         For any inquiries reach us at training@fdc-k.org or +254712260031



·         Website:www.fdc-k.org




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