This is a foundational technical course that is designed to help data teams to speak the same language and to perform basic data tasks in their organisation. Over 5 days, participants are equipped with practical skills in designing databases, conducting basic analysis in R and SQL, designing data dictionaries, and developing reproducible research.
This is a hands-on workshop is designed for non-technical teams who are responsible for implementing the data-driven strategy in their organisation. A key objective of this workshop is to help executives, managers, or department heads to engage with their data and analytical teams more productively.
Leveraging Excel pivot tables to conduct survey data analysis. Participants learn how to conduct basic segmentation analysis using cross-tabulations, create new variables in the excel data sheets, how to merge data sets (individual and household level), and best practice when creating charts and graphs using the survey data.
Technical courses in R programming including data analytics in R, package development for data engineering in R and Python, building data analytics pipelines in R & Python, API development with dockerisation in R & Python.
Technical course in dashboard development with Golem Shiny as well as Kibana.