Time Commitment
Participants will do 3 online training sessions, 1 hour lecture and 1 tutorial per session and additional 4 hours a month for further reading. The training will conclude via a face to face workshop in Cape Town from June 10th to June 14th
Eligibility
• Basics of Big Data analytics • Minimum qualification - MSc in Public Health, Biomedical Sciences, Computer Science, Biostatistics • Good grasp of at least one programming language such as Python and R • Access to a high performance computing center (we can assist with this). • Basic understanding or interest in Sickle Cell Disease • Participants will have to obtain an average of 50% on online quizzes • Optional - interest in Next Generations Sequences (NGS).
What you will learn - Online Session
Day 1: March 29th
Day 1 – Online Session 1: Welcome (Prof Ambroise Wonkam) (30mins)
Day 1 – Online Session 2: Introduction to Big Data in Epidemiological Studies (Gaston Mazandu) (30mins)
Day 1 – Tutorial Session for Assignment (Linux data manipulation) (Jack Morrice)
Day 2: April 26th
Day 2 – Session 1 (Getting data ready for statistical analyses & Descriptive Stats) (Arthemon Nguweneza)
Day 2 – Session 2 (Statistical methods for BIG Data) (Gaston Mazandu)
Day 2 – Tutorial session 3 (Introduction to R - Jack Morrice & Gaston Mazandu): JAMOVI
Day 3: May 31st
Day 3 - Online Session 1 (Searching, Summarizing, Assessing Epi Publications) (Jack Morrice)
Day 3 – Online Session 2 (Description of existing data - Multi-study/site studies) (Mario Jonas)
Day 3 – Tutorial Session (Power Calculation) (Gaston Mazandu)
Face to Face Workshop (June 10 - 14)
Hands-on sessions