sickle-in-africa/big-data-epidemiology

a course in big data epidemiology for sickle in africa Big Data Epidemiology ===================== *A SADaCC hosted course for SickleInAfrica* With large multinational registries and genomic sequences as new important data sources, Epidemiologists require skills in big data. This course aims to equip epidemiologists and those that support them (computer scientists, statisticians...) with the tools needed to address the new challenges posed by these big data sources. It was made primarily for members of the Sickle In Africa consortium, though we believe it has wider appeal in the international epidemiology community. ## Course modules and their core reading materials For each module in the list below, click on the link to see the core reading materials. These materials are all completely free and always available. Note that these links may change as the course is updated. ### Epidemiology * Epidemiology: an introduction to epidemiology with a focus on sickle cell disease ### Data analysis * The Unix shell: an introduction to command line programming * Version control with Git: an introduction to version control with git * Python: an introduction to scientific computing with python * R: an introduction to scientific computing with R * Probability and statistics.pdf): in introduction to the mathematics of probability and statistics * Statistical learning: an introduction to statistical (machine) learning in R (advanced) * Exploratory data analysis / tidyverse: an introduction to exploratory data analysis and the tidyverse package in R * Genome wide association analysis: a hands on tutorial for conducting GWAS data analysis (advanced) * Missing data imputation: an introduction to multiple imputation for missing data (advanced). * Outlier analysis: a comprehensive guide to outlier analysis (advanced). ### Data management * SQL: an introduction to databases with SQL * Data quality * REDCap * Data harmonization ## Computing resources Below are some very useful resources that will help you work through the material …